You can stream Sinners and other recent Oscar winners for less with HBO Max's sale. | Image: Warner Bros. Pictures
The easiest way to save on a streaming service is often to pay for a year upfront, which HBO Max is currently making a lot cheaper. Through July 15, 2026, new and returning subscribers can get 28 percent off any of HBO Max’s yearly plans, bringing the ad-supported tier down to $78.99 ($31 off) per year, the Standard plan to $132.99 ($52 off) per year, and the Premium tier to $164.99 per year ($65 off). That’s up to 40 percent less than paying month to month.
All three plans include access to HBO Max’s extensive library of movies and TV shows, including films from Warner Bros. Pictures, DC Studios, A24, Studio Ghibli, and Turner Classic Movies. Subscribers can also stream recent Oscar winners and nominees like titles like Sinners,One Battle After Another, and Marty Supreme, alongside other HBO Max originals. On the TV side, you’ll also get access to popular series like The Pitt, Hacks, Euphoria, and Heated Rivalry, as well as longtime favorites such as Game of Thrones, Friends, and The Big Bang Theory.
The biggest differences come down to features. The ad-supported Basic plan lets you stream on up to two devices simultaneously, while the Standard plan lets you download up to 30 shows and movies for offline viewing. It also includes access to live sports from the likes of the MLB, U.S Soccer, college football, NHL, and more. The Premium tier lets you stream on up to four devices at once, supports 4K and Dolby Atmos, and increases offline downloads to 100 titles.
Camera traps from inside the Chernobyl exclusion zone reveal how the occupation of Russian forces at the site in February and March 2022 altered the behavior of wildlife living in the area.
After the invasion, which involved significant armed conflict inside the exclusion zone, mammals like deer and horses became less active and spent less time moving around at night, a new study reports.
Researchers discovered the changes by comparing footage from camera traps collected during the early months of Russia's 2022 invasion with recordings from the same period a year earlier, before the conflict began. The findings, published Thursday (June 18) in the journal Science, offer a rare glimpse of how animals respond to the immediate disruption caused by warfare.
"I wish the opportunity to analyze how the unfolding invasion affected wildlife ha[d] never happened," Svitlana Kudrenko, who conducted the study as part of her PhD at the Albert Ludwig University of Freiburg in Germany, told Live Science in an email. "Unlike in preindustrial times, current interstate conflicts are highly detrimental for wildlife because of a long list of warfare, often operated remotely."
The study took place in the Chernobyl exclusion zone, a roughly 1,000-square-mile (2,600 square kilometers) area surrounding the site of the 1986 Chernobyl nuclear disaster. Following the reactor explosion, authorities evacuated the region and restricted most human activity. Over the decades, with little to no human activity, wildlife populations have flourished, turning the zone into a natural laboratory for scientists studying ecosystem recovery and animal behavior.
But in February 2022, Russian forces seized control of the region during the beginning stages of the invasion of Ukraine. Military vehicles, troop movements, weapons being fired and other wartime disturbances suddenly transformed one of Europe's most unusual wildlife refuges into an active war zone.
To investigate the impact, researchers analyzed data from camera traps already operating in the exclusion zone from 2020 to 2022. Studying the ecological effects of armed conflict is difficult because war zones are dangerous and often hard for researchers to access.
By using the existing network of automated cameras, the scientists captured wildlife responses that would have been impossible to record otherwise. In total, the team analyzed almost 2,000 photographs and videos from the exclusion zone to build a picture of behavioral changes in response to the conflict.
The images and footage revealed responses from 11 wild mammal species, showing that some animals changed their behavior during periods of heavier fighting.
Kudrenko et al (2026)Kateryna KorepanovaKateryna KorepanovaKateryna Korepanova
Several mammal species — including roe deer (Capreolus capreolus), red deer (Cervus elaphus), moose (Alces alces) and red foxes (Vulpes vulpes) — were less active during the occupation than before the conflict, especially at night, the team reported.
The findings suggest that the impact of conflict can ripple through entire ecosystems. While Russia no longer occupies the Chernobyl exclusion zone, the authors highlighted that this study still shows how animal behavior can adapt to warfare.
Camera traps could become a valuable tool for measuring the environmental costs of conflict and understanding how wildlife copes with sudden human disturbances across the globe, the researchers added.
"Our study highlights the need to develop and implement research and conservation strategies focusing on armed conflict impacts on wildlife and environment in general, especially in areas of conservation importance," Kudrenko said.
What do you know about the animal kingdom? Test your knowledge with our animal quiz!
Do you often find yourself shopping at the big blue, or perhaps you’re just looking for an alternative to Amazon? Either way, Walmart is currently offering a year of its Walmart Plus subscription for $49, which typically costs $98. The membership includes perks like free delivery on orders over $35, free next-day and two-day shipping from Walmart.com when available, and free home pickup for returns. Importantly, it also grants you early access to sales, including the upcoming Walmart Deals starting on June 22nd that coincide with Prime Day 2026.
Walmart Plus
Walmart Plus is a membership program that offers exclusive benefits, like free delivery from your store, free shipping with no order minimum, and more.
In addition to the aforementioned shopping perks, the subscription bundles in a handful of other offers and memberships. For instance, you can choose from either ad-supported Paramount Plus or Peacock, with the option to switch every 90 days. You’ll also get a Pawp membership for remote veterinary care, discounts on gas at Walmart and Sam’s Club, and even a free Whopper with any purchase from Burger King every three months.
Apple execs are now acknowledging the company is going to need to raises prices to cope with higher component costs, particularly memory. Apple has been battling to avoid doing so, but warned this week that those efforts are “unsustainable.”
The price pressure is being felt across the tech industry. Omdia predicts the average selling price (ASP) of smartphones globally will increase by around 20% this year — partly because AI industry demands have pushed up RAM prices and partly because of rapid cost increases in processor production as a direct consequence of war in the Middle East. This impacts anything that uses memory or processors.
Apple must raise prices, CEO warns
“We’re doing our best to mitigate the huge increases that are being passed to us, and we’ve been trying to shield our customers from the increases, but the situation has become unsustainable,” current Apple CEO Tim Cook told the Wall Street Journal.
OK, so prices are going to go up. But how?
If Apple must raise prices, the way it does so matters. Will it increase prices across the board, or choose a subtle, strategic approach that protects margins while also maintaining rapidly accelerating market share growth?
Until now, Apple has been benefiting from the rising tide in memory prices. While competitors have been steadily increasing prices across the board, Apple introduced its first $599 laptop even as it eats into mid-range smartphone sales.
To grow, or to grow less?
The PC industry is not growing (outside of Cupertino), and Apple and its investors already know that the inordinately high customer satisfaction ratings its platforms enjoy mean that when people switch to them they tend to stick around. That’s why it matters that Cook highlighted record switchers and first-time platform users during the company’s most recent fiscal call. Apple is growing new customers, people who are likely to sign-up for services, accessories, and future upgrades. Winning the customer is an investment in future performance.
When it comes to increasing prices, we’ve seen some gentle experimentation in the Mac mini line, where the entry-level $599 model was effectively replaced by a more expensive $799 SKU. There have been suggestions Apple could do the same with the $599 MacBook Neo, dumping the entry-level build in favor of the (better) $699 model. I’m not certain that’s the best approach.
A matter of choice
I’d argue that the $599 price point is psychologically the best bit of marketing Apple has ever done as it draws new users to look at its platforms. I also think substantial numbers of people already shift up to the $699 version, if they can, making that entry-level price an incredibly effective marketing tool with which to woo customers. It looks like that approach is working; the MacBook Neo has led the Amazon Laptop Sales chart ever since it was introduced and is selling in huge quantities globally.
Francisco Jeronimo, IDC vice president for data and analytics, sees this, writing: “It will be interesting to see whether Apple raises prices across its entire portfolio or plays strategically by subsidizing its more affordable products to gain market share and grow its installed base.”
If Apple raises prices at the price sensitive, entry-level end of its market, it runs the risk of slowing its own resurgence. Given that a 10% price hike here is only worth around $60, the revenue generated might not justify blunting Apple’s offer to new users.
Pricing and strategy
But Apple isn’t defined by its entry-level markets. Its biggest earning opportunities continue to be generated by the aspirational middle class, who, while feeling the pinch of declining living standards in many markets, can still handle the price of a top-of-the-range iPhone Pro. A 10% price increase at that end of the market will generate a much more significant chunk of revenue – and since rival vendors are raising their prices at this end of the market, Apple can follow suit while still seeming affordable. It’s an approach that maintains growth while optimizing margins.
Apple generates roughly half its revenue from iPhone sales, with the Pro and Pro Max devices accounting for a significant chunk of that money. Consumers looking to buy one of Apple’s high-end devices are likely to be less price-sensitive than those making purchases at the low- and mid-points of the company’s market range.
With that in mind, it makes more sense for the company to raise prices at the top, while working to maintain the cost of entry at the lower end. It could, of course, raise prices universally, but doing so makes less sense.
What next?
Whatever strategy Apple adopts, company leadership is clear that component pricing is hitting hard. “We definitely need memory pricing and supply to return to reasonable levels for consumer products. That’s the bottom line,” Cook said.
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Amazon Prime Day 2026 lifts off on June 23rd and will hopefully deliver the best deals of the summer. We’ve been covering the most notable pre-Prime Day discounts happening, and come next week, we’ll be bringing you many more deals — ones we can’t tell you about just yet. As usual, expect to see price drops on a range of product categories, including smart home, headphones, smartwatches, monitors, 4K TVs, outdoorsy gear, and more. The sale will conclude at 3:01AM ET on June 27th.
We’ve put together this package so you can see all of our sprawling coverage in one convenient place. It contains not just our favorite one-off deals and category roundups to come, but also some shopping tips that might help you price-match purchases, and be the first to find amazing deals.
The Narwal Flow 2 is down to a new low price. | Jennifer Pattison Tuohy / The Verge
If you’ve been wanting to buy a robot vacuum but have been put off by how much it can cost to get a good one, now is not a bad time to start looking. We’re now on day two of Prime Day, and Amazon, along with retailers like Best Buy and Walmart, is offering discounts on several models we’ve tested from brands like Roborock, Dreame, and Shark. Whether you’re looking for a basic robot vacuum that can cut down on the amount of vacuuming you have to do or a high-end model that can wash and dry its own mop pads and climb over room thresholds, there are deals available across a wide range of price points.
Roborock’s Saros 10 combines powerful 22,000Pa suction with excellent dual spinning mop pads that do a great job tackling dried-on messes. It can also automatically leave its mop pads at the dock before vacuuming carpets. The newer Saros 20 offers more powerful suction and can tackle taller thresholds, but the Saros 10 is still a great cleaning machine.
The Roborock Q10 S5 Plus is down to $264.99 ($285 off) at Amazon, which matches its lowest price to date. The Q10 S5 Plus is one of our favorite budget-friendly robot vacuum / mop hybrids, combining good AI-powered obstacle avoidance with automatic carpet detection. It also features a vibrating mop that does a solid job scrubbing hard floors while lifting itself over rugs, and the set includes a self-emptying dock for added convenience. It can’t match the suction power or tall threshold-climbing abilities of pricier models like the Saros 20, but this is a good value under $300.
The Tapo RV30 Max Plus is another excellent budget-friendly option that’s on sale. It includes a self-emptying dock and costs $199.99 ($200 off) at Amazon. You don’t get AI-powered obstacle avoidance with this one, and its 5,200Pa suction isn’t the most powerful we’ve seen, but it’s still a capable cleaning machine with a wide mop pad that performs surprisingly well. The RV30 Max also offers excellent lidar-based navigation, support for room-specific cleaning, and Matter compatibility, allowing you to control it through all the major smart home platforms.
Eufy Omni C28
The Eufy Omni C28 combines excellent mopping performance with a small self-cleaning dock that’s well suited for apartments and other smaller spaces. It navigates around furniture and into tight areas with ease, while its roller mop does a great job cleaning hard floors.
Dreame’s X60 Max Ultra is on sale for $1,344.99 ($355 off) at Amazon, which is its best price to date. We highly recommend the Dreame X60 Ultra for homes with lots of carpet, as it combines powerful 35,000Pa suction with dual rubber brushes that excel at lifting hair and debris. It can also climb over tall thresholds and thick rugs with ease, while its spinning mop pads do a good job on hard floors and automatically detach when vacuuming carpet. Other highlights include quiet mop washing and drying along with a slim design that can fit under low furniture.
Roborock Qrevo Curv 2 Flow
Roborock’s first roller-mop robot vacuum, the Curv 2 Flow, features flagship specs at a mid-range price. Including excellent mopping, a retractable mop cover, 20,000Pa suction, AI-powered obstacle avoidance, and a compact design.
You can pick up the Dreame X60 Max Ultra’s predecessor, the Dreame X50Ultra, for $849.99 ($750 off) at Amazon, which is $50 more than its best price to date. While its 20,000Pa suction isn’t quite as powerful as the X60 Ultra’s and it can’t tackle especially high thresholds as well, it’s still an excellent robot vacuum-mop hybrid. Its edge cleaning also isn’t quite as effective as the X60 Ultra’s, but you’re otherwise getting many of the same features for a lot less.
Dreame’s L40 Ultra Gen 2 is on sale for $384.99 ($265 off) at Amazon and directly from Dreame with code L40UGWS. It delivers powerful 25,000Pa suction, AI-powered obstacle avoidance, and a self-cleaning dock that empties the dustbin, washes the mop, and refills its water tanks. Unlike the X50 Ultra, however, it lacks the ability to climb high thresholds or stairs.
Narwal Flow 2
Our pick for the best robot vacuum-mop if you have all hardwood floors is the Narwal Flow 2. A superb mop with a wide flat roller pad and an excellent vacuum, the Flow 2 also has top-notch navigation and obstacle detection. Its sleek base station is also less of an eyesore than most.
The original Narwal Flow is available for $649.99 ($500 off) at Amazon, which is its best price to date. Like the Flow 2, it offers a self-cleaning roller mop along with a dock that automatically empties the dustbin and washes the mop and a tangle-resistant brush. The tradeoff is that it lacks the Flow 2’s upgraded AI-powered obstacle avoidance, uses lower-temperature water when washing the mop, and delivers slightly less suction power.
You can buy the SwitchBot K11 Plus on sale for around $189.99 ($210 off) at Amazon and directly from SwitchBot with code PDDAY53, which is $10 more than its best price. It’s a tiny bot with an equally small self-emptying dock, making it a great fit for smaller spaces. Its suction power tops out at 6,000Pa, but it’s still an effective cleaning machine with a rubber roller brush and a single side brush that does a solid job picking up dirt, dust, and debris from both hard floors and carpets.
Ecovacs Deebot X12 OmniCyclone
Ecovacs’ latest flagship robot vacuum and mop can pretreat stains, keep carpets dry with a smart mop cover, and deliver powerful 22,000Pa suction. It also comes with an all-in-one dock that automatically empties the dustbin, washes the mop with heated, pressurized water, and refills its water tanks.
The Ecovacs Deebot X9 Pro Omni features an extendable mop that can clean itself, just like its predecessor. However, it also features Ecovacs’ Boosted Large-Airflow Suction Technology, which optimizes the airflow path from intake to exhaust, rather than relying solely on suction power.
The Dreame L10s Pro Ultra is down to $349.98 when you buy it at Amazon, matching its best price to date and $950 less than its original launch price in 2024. Despite its age, it still offers a self-cleaning dock that can wash and dry its mop pads, dispense cleaning solution, refill its water tank, and empty its dustbin. It also features AI-powered obstacle avoidance. Its 7,000Pa suction is lower than Dreame’s newer models, and it can’t climb tall thresholds, but it’s still a lot of robot vacuum for the price.
The Shark Navigator Robot Vacuum RV2110 has dropped to $179 ($121 off) at Amazon. While we’ve previously seen it go for as low as $129.99, that’s still a notable 40 percent discount on the basic bot. The Navigator uses lidar-based navigation to create a map of your home and is equipped with a brushroll designed to minimize hair tangles.
Update, June 24th: Adjusted prices and availability and added deals for the Roborock Qrevo Curv 2 Flow.
The Amazon Kindle Colorsoft e-reader (left) sitting next to the Kobo Clara Colour displaying a Spider-Man comic. | Photos by Andrew Liszewski / The Verge
Amazon’s Kindle ColorsoftEssentials Bundle is on sale for $182.97 (originally $334.97) as an early Prime Day deal, the lowest price we’ve seen for the combo. Unlike other Kindles, the Colorsoft’s color E Ink screen is great for comic books and graphics novels, illustrated books, or just perusing book covers while deciding what to read next. It shows deep black lines and borders, high saturation, plus it has a faster refresh rate than other similar options.
The discounted bundle includes the 16GB e-reader, a leather cover in ruby or walnut, and a USB power adapter, and is available exclusively to Amazon Prime members.
A color e-reader is great for more than just comic books. Readers can highlight text in four different colors, then filter and search between them, and the color panel gives you plenty of options for contrast and boldness. Additionally, the Colorsoft is water resistant, with an IPX8 rating that means it’s safe to use by the pool and can be rinsed if you have a mishap with a beverage. Like other Kindles, the Colorsoft should run for weeks on a single charge, if not longer, depending on usage.
In a groundbreaking advancement that promises to reshape the landscape of wearable technology and soft robotics, researchers at the Korea Advanced Institute of Science and Technology (KAIST) have developed a pioneering self-powered piezoelectric fiber sensor exhibiting unprecedented stretchability and resilience. This novel device, capable of enduring elongations up to 668%, heralds a new era of flexible sensors that can reliably monitor physiological signals over extended periods without relying on external power sources such as batteries.
Wearable medical devices designed to continuously track vital signs—heart rate, respiration, and joint movement—have long been limited by the mechanical and electrical degradation of their sensing components under repeated deformations. Traditional piezoelectric fiber sensors, which convert mechanical forces into electrical signals, often suffer from diminished performance as their thin electrode layers and fragile piezoelectric materials falter during routine bending and stretching. Overcoming this barrier, the KAIST research team led by Professor Miso Kim has introduced a transformative approach that stabilizes sensor function even after thousands of mechanical cycles.
Central to this breakthrough is the adoption of a meticulously engineered “Hierarchical Resilient Design,” wherein resilience is embedded across multiple structural levels of the sensor. This concept mirrors the elasticity of a rubber band, allowing the piezoelectric fibers to recover their original form and function after extensive stretching. The research team achieved this by dispersing elastic polymer microparticles within the piezoelectric nanofibers, creating a Velcro-like interlocking microstructure that enhances the sensor’s mechanical robustness and self-restorative capabilities.
The interface engineering between the sensor’s electrical components also proved critical. By enhancing the bonding between the piezoelectric layers and the electrodes, the team prevented delamination—a common failure mode under deformation—that typically degrades signal integrity. This strong adhesion at the material interfaces ensures continuous charge transfer and maintains stable electrical outputs even when the sensor is twisted, pressed, or stretched significantly.
One of the most remarkable aspects of the sensor’s design is its coil and knot structures. By coiling the piezoelectric fibers, the researchers capitalized on geometric extensions, enabling the sensor to stretch over six times its initial length without losing sensitivity. Furthermore, knot configurations were tested to validate sensor durability under complex and dynamic mechanical stresses such as sudden impacts or localized pressure, demonstrating stable electrical signals regardless of deformation mode.
Beyond mechanical resilience, the KAIST team integrated artificial intelligence techniques to interpret the electrical outputs from the sensor. Utilizing machine learning algorithms, they could accurately distinguish between distinct mechanical stimuli—such as bending, stretching, and pressing—offering a valuable platform for intuitive and precise biosignal monitoring in real-world environments. This capability opens new horizons for dynamic human-machine interfacing, where nuanced movement detection is critical.
What sets this breakthrough apart is its self-powered nature. Unlike conventional wearable sensors that depend on finite battery life, the piezoelectric polymer fibers harvest mechanical energy directly from body movements, converting it into usable electrical signals. This sustainable mechanism not only eliminates maintenance concerns but also allows for ultra-lightweight, unobtrusive devices suitable for long-term wear.
The implications of this technology extend well beyond healthcare monitoring devices. Electronic skins capable of mimicking human sensory reception, soft robotic actuators with sensitive feedback loops, and next-generation digital health tools could all benefit from the combination of stretchability, mechanical resilience, and stable self-generated electrical outputs demonstrated by this platform. Such multifunctional usability places this development firmly at the forefront of flexible electronics innovation.
Professor Miso Kim emphasized the significance of their approach: “By simultaneously achieving mechanical resilience and electrical reliability through fiber structure design combined with precise electrode interface engineering, we have laid the foundation for wearable devices capable of long-term operation under strenuous conditions,” she remarked. This robust design paradigm, she asserts, will empower a new generation of devices that continuously monitor biosignals with unprecedented accuracy and durability.
Published in the prestigious journal ACS Nano, the team’s research showcases both fundamental materials science and applied engineering excellence. The paper titled “Mechanically and Functionally Resilient Piezoelectric Fiber Coils and Knots for Reliable Self-Powered Sensing” details the synthesis of the nanofiber composites, the meticulous fabrication of coil and knot geometries, and a comprehensive analysis of the sensor’s electromechanical performance over extensive cyclical tests.
The scientific community has lauded this work for addressing long-standing issues in flexible sensor design. By merging nanoscale material innovations with macrostructural strategies, the KAIST team has created a versatile sensing platform that bridges the gap between laboratory prototypes and real-world applications. Their work sets a precedent for future interdisciplinary efforts aimed at wearable electronics that demand both high performance and durability.
Funded by multiple National Research Foundation of Korea initiatives, this research underscores Korea’s growing leadership in advanced materials and smart sensor development. The integration of elastic polymer microparticles within piezoelectric nanofibers, combined with interface science and architectural engineering, exemplifies the kind of holistic approach necessary to push boundaries in next-generation electronics.
Looking ahead, this resilient, self-powered fiber sensor technology could transform how we collect and interpret physiological data in ambulatory settings, enable more sophisticated prosthetics with tactile feedback, and empower soft robots with human-like sensory capabilities. As devices become lighter, more adaptable, and energy-autonomous, the convergence of materials science and artificial intelligence will accelerate innovations that make previously impossible applications a reality.
In conclusion, the KAIST team’s pioneering piezoelectric fiber sensor offers a robust and reliable solution to historic challenges in wearable sensory technology. Its remarkable combination of extreme stretchability, stable electricity generation without batteries, and intelligent signal analysis marks a significant leap forward that is poised to impact multiple sectors, from healthcare to robotics and beyond.
Subject of Research: Development of highly stretchable, mechanically resilient, self-powered piezoelectric fiber sensors for wearable devices and soft robotics.
Article Title: Mechanically and Functionally Resilient Piezoelectric Fiber Coils and Knots for Reliable Self-Powered Sensing
References: Choi, Y. J., Park, J., Nam, J., Sim, G.-D., Kim, M.-G., & Kim, M. (2026). Mechanically and Functionally Resilient Piezoelectric Fiber Coils and Knots for Reliable Self-Powered Sensing. ACS Nano.
University of California, Riverside’s Professor Eric Schwitzgebel and University of Lisbon postdoctoral researcher Jeremy Pober argue that consciousness is substrate flexible, meaning it can arise not just in the biological tissue we find on Earth, but potentially in radically different physical materials found elsewhere in the cosmos.
In recent years, the coastal waters of Vancouver have witnessed an unprecedented resurgence of whale activity, captivating marine biologists and local observers alike. This renewed presence, not merely anecdotal, stems from a culmination of seasonal patterns, thriving ecosystems, and impactful conservation measures. A comprehensive study led by researchers at the University of British Columbia’s Institute for the Oceans and Fisheries (IOF) has quantitatively confirmed that transient killer whales now inhabit the Salish Sea for more than two-thirds of the year. Alongside these apex predators, humpback and grey whales are increasingly frequenting these waters, signaling a dynamic shift in regional marine biodiversity.
Transient killer whales, known for their elusive nature and specialized diet of marine mammals, particularly seals and sea lions, are now commonly sighted along Vancouver’s shoreline and within the surrounding straits and harbors. Data collected from 2016 to 2023 underscores not only their presence but also their routine exploitation of these rich feeding grounds. This expanded usage correlates strongly with the rebound of pinniped populations, themselves benefiting from decades-old protections that halted their severe culling. The recovery has thus created a robust trophic cascade, enabling transient killer whales to establish a near year-round residency within the inside waters of Vancouver Island.
Humpback whales represent another remarkable comeback story in this region. Historically decimated by intense commercial whaling in the early 20th century, these baleen giants were completely extirpated from British Columbia waters by 1910. Without older generations to transmit migratory and feeding knowledge, their return to ancestral feeding grounds was lost for nearly a century. However, conservation efforts since the 1960s, including international bans on whaling and improved fisheries management, have facilitated a population recovery that now sees substantial numbers of humpbacks returning each summer to feast on abundant krill, herring, and other prey.
The presence of grey whales in areas around Vancouver is comparatively anomalous but increasingly documented. These whales typically forage offshore near Alaska, subsisting on amphipods—small crustaceans dependent on nutrient-rich algae associated with Arctic sea ice. The drastic loss of sea ice due to climate change directly undermines this fundamental food source, causing nutritional stress especially among pregnant and lactating females who must meet extraordinarily high energetic demands during migration and calf-rearing periods. Consequently, some grey whales are observed making unscheduled stops in the Salish Sea, an adaptation that reflects their deteriorating foraging options rather than traditional migratory behavior.
Studies estimate that pregnant grey whales require a daily intake of approximately 1,600 to 1,900 kilograms of prey to sustain both fetal development and energy reserves critical for postnatal care during their long migrations. Following calving, lactating females continue to consume between 1,300 and 1,600 kilograms of prey daily to nourish their calves for several months. Disruptions in prey availability, driven by climate-induced changes in sea ice and associated ecosystem dynamics, are thus placing immense physiological strain on these populations. The unfortunate consequence has been an observed increase in mortality rates, with malnourished grey whales occasionally stranding along the coastline.
This resurgence of whale activity near Vancouver not only highlights the success of targeted conservation policies but also underscores emerging challenges. Increased interactions between humans and whales necessitate rigorous adherence to safe viewing practices. Researchers advocate for maintaining substantial distances from whales—minimum thresholds are typically 200 meters for most killer whales and extend to 1,000 meters for the endangered southern resident killer whales. The regulations also stipulate 100 meters for other cetaceans, increasing to 200 meters when whales are resting or accompanied by calves. These guidelines are critical in minimizing disturbances and preventing collisions, which pose significant risks to these vulnerable animals.
Furthermore, the role of public awareness and responsible recreational boating cannot be overstated. Boaters, kayakers, and paddleboarders are urged to stay vigilant and reduce speeds when whale blowholes are sighted. The unpredictability of whale movements demands a precautionary approach to navigation within whale habitats. Educational initiatives, such as free online whale-safe boating courses offered by organizations like the Marine Education & Research Society (MERS), have proven effective tools in promoting safer human-wildlife coexistence in marine environments.
The broader implications of these findings extend into the realm of ecosystem health and global climate resilience. Whales function as keystone species, their feeding and migratory behaviors facilitating nutrient transport and productivity within marine systems. The return of diverse whale populations to coastal waters symbolizes not just ecological recovery but offers hope for restoring complex marine food webs fractured by human exploitation. Yet, the acute vulnerability of species such as grey whales to climate-driven habitat changes serves as a stark reminder of ongoing environmental threats.
Simultaneously, the study’s revelations about transient killer whales reveal a nuanced predator-prey dynamic finely attuned to regional ecosystem changes over recent decades. The resurgence of pinniped populations has provided these cetaceans with ample sustenance, allowing for sustained presence in traditionally seasonal zones. This trophic realignment invites further studies into the long-term evolutionary and behavioral adaptations of marine mammals in a rapidly changing oceanic milieu.
Whale conservation is, thus, at a critical juncture. While success stories abound, exemplified by humpback recovery, emerging stressors including climate change, ship traffic, and underwater noise pollution complicate the ecological narrative. The scientific community and policymakers must continue fostering adaptive management strategies that address these multifaceted challenges while engaging public participation for effective stewardship.
In conclusion, the intensifying presence of transient killer whales, humpbacks, and grey whales in Vancouver’s coastal waters offers a vivid testament to both nature’s resilience and the pressing need for sustained conservation vigilance. These marine mammals, emblematic of wider ocean health, depend on intact habitats, thoughtful human behaviors, and responsive environmental policies. As our understanding deepens through ongoing research, so too must our commitment to coexistence with these ocean giants, ensuring their survival amidst an era of rapid ecological transformation.
Subject of Research: Marine mammal population dynamics and conservation in Pacific Northwest coastal waters.
Article Title: Rebounding Giants: The Return of Whales to Vancouver’s Coastal Waters
News Publication Date: Not specified in the provided content.
In a groundbreaking study set to redefine our understanding of infectious disease risk post-incarceration, researchers have illuminated the heightened vulnerabilities faced by formerly incarcerated individuals in Lima, Peru, specifically concerning tuberculosis (TB). This investigation provides unprecedented evidence that the risk of TB remains substantially elevated even after individuals have been released from prison, posing serious public health challenges that extend beyond prison walls and timelines. The study, published in Nature Communications, draws critical attention to the intersection of social determinants, incarceration history, and tuberculosis epidemiology, offering essential insights that could pivot global TB control strategies.
Tuberculosis remains a formidable public health threat worldwide, exacerbated in settings marked by overcrowding, malnutrition, and limited access to healthcare—conditions prevalent in correctional facilities. However, the full scope of TB risk post-release has been insufficiently explored. The new findings from Lima reveal that the period following incarceration represents a window of sustained and potentially heightened TB risk, mandating urgent action in both public health policy and clinical care for this vulnerable population. By focusing on formerly incarcerated populations—a group often marginalized in health research—the study bridges a critical knowledge gap.
The investigation employed a longitudinal cohort design, tracking individuals released from prisons in Lima over several years. Advanced epidemiological modeling techniques were used to quantify the incidence of active tuberculosis following release, accounting for confounding variables such as age, gender, HIV status, socioeconomic conditions, and previous TB history. The rigor of the approach offers a robust, nuanced understanding of TB dynamics in this unique context, underscoring that incarceration and the period immediately after release must be treated as a continuum when assessing TB risk.
One of the pivotal revelations is the persistence of TB risk in the community setting following prison release, highlighting that the end of incarceration does not equate to the end of health vulnerability. This underscores how the prison environment, often characterized by high transmission rates and suboptimal health services, likely seeds infections that clinically manifest months or even years after release. Furthermore, systemic barriers such as stigma, limited healthcare access, and socioeconomic instability exacerbate disease outcomes and complicate efforts for early diagnosis and treatment.
The biological underpinnings of post-release tuberculosis susceptibility are multifactorial. Immunological stress associated with incarceration, compounded by conditions such as HIV co-infection or malnutrition, creates a permissive environment for latent Mycobacterium tuberculosis infection to reactivate. In addition, the stress of reintegration, disruption of treatment continuity, and potential exposure to TB in the community all converge to elevate risk. The study’s detailed analysis of these intertwined factors provides a clarion call for integrated interventions spanning correctional and community health services.
Perhaps most strikingly, the research highlights a critical temporal risk window—generally spanning the first two years post-release—during which TB incidence peaks. This temporal pattern suggests that interventions must be strategically timed to target this high-risk period. Enhanced screening, prophylactic therapy for latent TB infection, and improved linkage to care immediately following release could substantially reduce the disease burden for this population, thereby also curtailing community transmission chains.
The implications of this work extend well beyond Lima’s prisons. Globally, over 10 million people are estimated to be incarcerated annually, many in countries burdened with high TB prevalence. Understanding that TB risk persists and evolves post-incarceration challenges traditional paradigms that focus solely on active prison environments. Instead, comprehensive TB control must embrace a lifecycle perspective addressing social reintegration and continuity of care as integral to disease mitigation.
Health policy experts underscore the necessity of incorporating post-release care into national TB programs. This includes leveraging technologies such as mobile health platforms to monitor symptoms, ensuring continuity of TB preventive therapy, and addressing social determinants like housing instability and unemployment that underpin poor health outcomes. The Lima study’s findings provide empirical justification for allocating resources and redesigning healthcare delivery to encompass these critical components.
Moreover, the study accentuates that prisons are not isolated epidemiological entities but rather nodes interfacing with broader community health ecosystems. Tuberculosis transmitted within correctional facilities disproportionately affects communities to which incarcerated individuals return, amplifying TB transmission dynamics on a population scale. Addressing post-release TB risks, therefore, presents a compelling opportunity for broader epidemic control.
From a clinical perspective, the research advocates for routine post-release screening protocols and enhanced diagnostic vigilance among healthcare providers serving formerly incarcerated individuals. Diagnostic algorithms that incorporate risk stratification informed by incarceration history could enable earlier detection of active TB and latent infections prone to reactivation. The deployment of rapid molecular diagnostics in community settings could be particularly transformative.
This study also calls attention to necessary shifts in social policy. Eradicating stigma associated with incarceration and TB, facilitating reintegration support, and promoting equitable healthcare access are paramount. The intersectional vulnerabilities faced by formerly incarcerated populations demand an interdisciplinary approach encompassing health, social services, and criminal justice reform to break the cycle of disease and disadvantage.
Importantly, the nature of tuberculosis—a disease intricately tied to social determinants and biological factors—renders purely biomedical approaches insufficient. The Lima study’s integrative methodology, accounting for epidemiological, clinical, and social variables, sets a new standard for infectious disease research in marginalized populations. It paints a vivid portrait of how correctional and community health systems must synergize to effectively combat TB.
In conclusion, the findings emerging from Lima’s formerly incarcerated populations herald a paradigm shift in tuberculosis control. Recognition of the sustained, elevated risk post-incarceration compels a reevaluation of public health strategies to incorporate targeted post-release interventions. By bridging gaps between correctional health and community care, and acknowledging the complex socio-biological tapestry underpinning TB risk, the global health community can move closer toward the ambitious goals of TB elimination and improved health equity for vulnerable populations worldwide.
Subject of Research: Post-release tuberculosis risk among formerly incarcerated populations
Article Title: Post-release tuberculosis risk among formerly incarcerated populations in Lima Peru
Article References: Huang, CC., Brooks, M.B., Becerra, M.C. et al. Post-release tuberculosis risk among formerly incarcerated populations in Lima Peru. Nat Commun (2026). https://doi.org/10.1038/s41467-026-74436-8
The Echo Dot Max comes in a variety of fun colors, including purple. | Photo by Jennifer Pattison Tuohy / The Verge
We’re seeing good early Prime Day deals ahead of the event next week, and unsurprisingly, some of the best deals are on Amazon’s own devices. Several Echo speakers have dropped to new low prices, including the Echo Dot Max, which is on sale for $64.99 ($35 off) at Amazon.
Our smart home reviewer Jennifer Pattison Tuohy named the Echo Max her top pick among Alexa speakers, calling it “Amazon’s best all-around smart speaker.” The elegant, fabric-wrapped speaker delivers plenty of bass, and comes with its own dedicated tweeter and woofer that provide crisper sound than its predecessor. It’s also faster and more responsive, with Amazon’s AZ3 Neural Edge processor helping it hear voice commands more accurately, even if you’re speaking from across the room or over background noise.
The Echo Max also doubles as a capable smart home hub with support for Zigbee, Matter, and Thread, allowing you to connect and control a wide range of compatible smart home devices from brands beyond Amazon. It also supports Alexa Plus, Amazon’s more context-aware AI-powered voice assistant, which can handle multiple requests at once. That means you can do things like dim the lights and lock the doors without having to issue separate commands. In our reviewer’s testing, Alexa was even able to turn off the hallway lights, adjust the upstairs thermostat, and start a robot vacuum in the kitchen all at once.
A comprehensive new study published in JAMA Network Open has revealed pervasive exposure among pregnant individuals in the United States to multiple classes of environmental chemicals, highlighting critical concerns about their impact on fetal development. This groundbreaking longitudinal cohort investigation evaluated a large and ethnically diverse sample of U.S. pregnancies, systematically analyzing exposures to ten distinct categories of environmental pollutants. Many of these chemicals showed significant associations with measurable shifts in gestational age and reductions in birth weight-for-gestational age z-scores, parameters essential for assessing neonatal health and predicting long-term outcomes.
The research employed advanced biomonitoring techniques to quantify the presence of environmental toxicants including phthalates, alternative plasticizers, and polycyclic aromatic hydrocarbons (PAHs) in maternal biological samples during gestation. Phthalates and plasticizers are commonly used in consumer products and medical devices, yet their biochemical interactions during crucial windows of fetal development remain underappreciated. The study’s detailed exposure profiling allowed for unprecedented insights into how these compounds may disrupt endocrine functions or trigger inflammatory processes, potentially precipitating premature labor or impaired fetal growth.
One of the most striking findings was the widespread detection of phthalates and substitute plasticizers within this population, indicating ubiquitous contact despite regulatory efforts to limit their use. These chemicals, integral to plastics and personal care products, demonstrated compelling correlations with shortened gestation periods. Such alterations in gestational length can increase risks for adverse neonatal outcomes, including respiratory complications and neurodevelopmental disorders, underpinning the urgency to reassess public health policies concerning these ubiquitous agents.
Likewise, exposure to polycyclic aromatic hydrocarbons, a class of organic compounds generated through the incomplete combustion of organic matter including fossil fuels and tobacco, was found to be significantly linked with lower birth weight-for-gestational age z-scores. Lower birth weight relative to gestational age is a well-established risk factor for morbidity and mortality in infancy and has been implicated in chronic diseases later in life, such as cardiovascular disorders and diabetes. This association reaffirms concerns about air pollution-related health disparities during pregnancy.
The study’s robust methodology involved careful adjustment for confounding factors, such as maternal age, socioeconomic status, preexisting health conditions, and lifestyle habits, ensuring that the observed effects were primarily attributable to chemical exposures. Such meticulous analytical rigor strengthens causal inferences and enhances the generalizability of findings across the heterogeneous U.S. population.
Beyond the immediate neonatal impacts, the findings underscore the broader implication that gestational exposure to environmental chemicals may foreshadow developmental trajectories affecting cognitive function, metabolic programming, and immune competence. The data suggest a pressing need to incorporate environmental risk assessments into prenatal care and to advocate for more stringent regulation and replacement of harmful chemical additives in manufacturing and consumer goods.
Experts involved in the study emphasize the translational significance of these findings. Reducing prenatal exposure to harmful environmental agents, particularly those involved in plastic manufacturing and combustion byproducts, could be a modifiable risk factor to optimize pregnancy outcomes and subsequent child health. The research calls for collaborative efforts between scientists, clinicians, policymakers, and industry stakeholders to develop safer alternatives and to implement public health strategies aimed at exposure mitigation.
In addition to environmental monitoring, the study highlights the potential of biomarker-driven surveillance in clinical settings to identify at-risk pregnancies earlier. The adoption of such precision health approaches could enable timely interventions designed to minimize chemical-induced developmental insults and promote resilience in vulnerable populations.
Overall, this research project represents a pivotal contribution to reproductive environmental epidemiology, providing compelling evidence on how everyday chemical exposures reverberate at the earliest stages of human life. Such insights fuel the momentum toward integrating environmental considerations into obstetric practice and public health frameworks, ultimately aiming to safeguard the next generation from preventable neurodevelopmental and somatic diseases linked to toxic exposures.
The detailed chemical classes examined in this investigation span commonly encountered substances with diverse structural and functional properties, illuminating the pervasive nature of industrial and urban pollutants. The interdisciplinary approach combining toxicology, epidemiology, and molecular biology sets a new standard for environmental health research, encouraging future explorations into underlying biological mechanisms and potential gene-environment interactions.
As global urbanization and chemical manufacturing continue to expand, the relevance of these findings grows, underscoring an urgent collective responsibility to address environmental determinants of health from conception onwards. By spotlighting the critical window of gestation as vulnerable to chemical insults, this study not only informs clinical guidelines but also energizes advocacy for environmental justice, particularly in frequently marginalized communities disproportionately burdened by pollution exposure.
In summary, the research establishes a clear and compelling connection between gestational exposure to multiple classes of environmental chemicals—including phthalates, plasticizers, and hydrocarbons—and adverse birth outcomes such as shortened gestation and reduced fetal growth metrics. Addressing these exposures presents a tangible opportunity to improve neonatal health indicators and foster lifelong wellbeing, heralding a paradigm shift in how society approaches prenatal environmental risk.
Subject of Research: Gestational exposure to environmental chemicals and its impact on birth outcomes in U.S. pregnancies Article Title: [Not provided] News Publication Date: [Not provided] Web References: [Not provided] References: doi:10.1001/jamanetworkopen.2026.18883 Image Credits: [Not provided]
Keywords: Chemical pollution, Gestational age, Birth rates, Cohort studies, Pregnancy, United States population, Body weight, Hydrocarbons, Environmental health, Plastics, Human health, Obstetrics
These discoveries have raised a provocative question: How deep do the roots of mathematical thinking go? While modern humans are the only known species to develop formal mathematics, studies of crows, monkeys and other animals suggest that the cognitive building blocks of math may have evolved hundreds of millions of years before people began doing calculations.
Few researchers have done more to uncover these abilities than Andreas Nieder, a professor of animal physiology and the director of the Institute of Neurobiology at the University of Tübingen in Germany. By examining the neural activity of both monkeys and crows, Nieder has found evidence that very different animal brains can process numerical information in surprisingly similar ways. Live Science spoke with Nieder about how these findings may reveal that the origins of mathematics are far older than our species.
Kenna Hughes-Castleberry: How did you get into researching crows and primates?
Andreas Nieder: After studying the auditory and visual systems for several years as a student, I realized that I wanted to focus on the neuronal foundations of intelligence and cognitive control functions. How does the brain give rise to abstract concepts, working memory, or the ability to follow complex rules deliberately? Of course, to study intelligence, you need intelligence specialists. I therefore began working with primates — more specifically, rhesus monkeys, arguably among the most intelligent mammals. They are closely related to humans, possess relatively similar brains, and share many cognitive abilities with us.
However, as a trained biologist, I was always interested in a broader evolutionary question: Are sophisticated cognitive abilities unique to mammals, or can they emerge in very different brains? Crows provided an ideal comparative species. Birds diverged from mammals more than 360 million years ago — roughly six times longer ago than the extinction of the dinosaurs. Yet despite this immense evolutionary distance, corvids display remarkably flexible behavior; in many ways, they are the feathered primates of the air.
Some are reliable, highly motivated workers that perform consistently day after day. Others are sensitive divas who seem to require special treatment before they are willing to cooperate.
Andreas Nieder
KHC: Are crows difficult to study? Are they fun? Do they have personalities?
AN: Both primates and crows are demanding to study. Because they are highly intelligent, they require special housing and care. Since we investigate cognitive abilities under tightly controlled experimental conditions, they also require extensive behavioral training by skilled personnel. And, of course, the regulations governing research with these species are particularly strict.
At the same time, they are fascinating research subjects. Individual monkeys and crows differ noticeably in temperament and behavior. Some are curious and adventurous, others are cautious and reserved, and some learn new tasks much faster than others.
Their qualities can be quite striking. Some are reliable, highly motivated workers that perform consistently day after day. Others are sensitive divas who seem to require special treatment before they are willing to cooperate. Researchers generally avoid anthropomorphizing, but there is little doubt that individual animals exhibit stable behavioral traits that we would reasonably describe as distinct characters.
KHC: You've found that crows understand the concept of zero. How do we know this?
AN: We trained crows to recognize different numbers — sets containing one, two, three, four objects, and so forth. We then included trials in which no items appeared at all. The remarkable finding was that the birds treated an empty set as a quantity and as part of the numerical continuum. They behaved as though the empty set belonged before "one." Their error patterns were particularly revealing: They confused zero more often with one than with larger numbers, exactly as one would expect if zero were mentally represented as a numerical quantity next to one. In addition, recordings from neurons in the crow brain showed cells that responded selectively to empty sets. This suggests that zero is not merely a behavioral trick but is represented neurally as a meaningful numerical category.
KHC: To play devil's advocate, is the ability to recognize the difference between something and the lack of something really that surprising? Is it akin to the human concept of zero?
AN: That's an important question. Simply recognizing that nothing is present or absent is not surprising. Many animals can distinguish between the presence and absence of objects. The key issue is whether they treat "nothing" as a quantity that can be compared to other quantities.
Our experiments suggest that crows do more than detect absence. They position empty sets within an ordered numerical sequence, at the low end of the number line, and show distance effects similar to those observed with other numbers. For example, they find it easier to distinguish zero from two than zero from one.
That said, we should not claim that crows possess the full human mathematical concept of zero. Humans use symbolic zero in arithmetic, algebra, calculus and formal mathematics. What we have demonstrated is a foundational precursor: a nonsymbolic numerical representation of zero. This may represent an evolutionary building block from which more sophisticated human concepts eventually developed.
Crows use tools like tree branches to pick out bugs from hard-to-reach areas. (Image credit: Andreas Nieder)
KHC: You've also found that crows can perform statistical analysis. Tell me more about these findings and what you showed.
AN: We trained carrion crows [Corvus corone] to associate a series of arbitrary visual signs, colored geometric images displayed on a touch screen, with different reward probabilities. One sign might yield a food reward 90% of the time, another 70%, another 50%, and so on down to 10%. Importantly, the signs themselves carried no inherent meaning; the birds had to learn these probabilities through experience.
Once the birds had learned these sign-probability associations, we presented them with pairs of signs and asked them to choose one. To maximize their rewards, they should select the sign associated with the higher reward probability. The crows did exactly that. Even when confronted with many novel pairings, they reliably chose the statistically more favorable option.
This does not mean that crows perform formal statistics in the human sense. They are not calculating percentages or solving probability equations. However, the results show that they can extract probabilistic regularities from experience, store this information in memory, and use it flexibly to make reward-maximizing decisions under uncertainty. These are fundamental ingredients of statistical reasoning and are highly valuable in natural environments, where animals constantly have to make decisions based on incomplete information.
KHC: Have researchers tried similar tests on babies or young humans, and if so, how do we stack up?
AN: Yes. Developmental psychologists have conducted many related studies with infants and young children. Even before learning language, infants show sensitivity to quantities, numerical differences and simple probabilistic information. By around 4 years of age, children also display an intuitive understanding of empty sets.
What is striking is that the behavioral signatures observed in crows resemble those seen in preverbal human infants and nonhuman primates. Of course, human children eventually develop symbolic mathematics through language, education and culture, which takes them far beyond the abilities observed in animals.
KHC: Can these findings tell us anything about how the human understanding of math evolved?
AN: They suggest that some foundations of mathematics may predate humans by a very long evolutionary timescale. Humans did not invent numerical intuition from scratch. Rather, we appear to have inherited ancient cognitive systems that allow brains to estimate quantities, compare numbers, and represent concepts such as zero approximately.
The fact that crows and primates — two distantly related groups — show similar numerical abilities suggests that these capacities may emerge whenever evolution favors flexible intelligence. Human mathematics likely built upon these ancient cognitive foundations and then expanded dramatically through language, symbols and culture.
What is striking is that the behavioral signatures observed in crows resemble those seen in preverbal human infants and nonhuman primates.
Andreas Nieder
KHC: What's something a general audience might be surprised to learn about crows?
Many people are surprised to learn that crows are songbirds. Most people associate songbirds with melodic singers such as nightingales or blackbirds, not with the harsh cawing of a crow. Yet crows do learn a significant part of their vocal repertoire and are even known as apt imitators, even of human speech sounds — the internet is full of funny videos in which crows imitate human speech.
What makes this particularly interesting is that their vocalizations are not merely reflexive calls. In our experiments, we found that crows can exert volitional control over their vocal behavior. They can learn to produce vocalizations in response to arbitrary cues and withhold them when required, demonstrating a level of cognitive control over vocal output that is considered an important prerequisite for complex communication and, ultimately, language.
More recently, we showed that crows can even use their vocalizations to count. In a recent study published in [the journal] Science, we trained crows to produce a specific number of calls — between one and four — in response to visual or auditory cues. Remarkably, they not only generated the correct number of vocalizations but also appeared to prepare the intended number before they started calling. This suggests that they can represent numerical information and use it to guide a self-generated sequence of vocal actions.
Taken together, these findings show that crow vocalizations are far more sophisticated than most people assume. Their characteristic "caw" is not just a simple call — it can be brought under deliberate cognitive control and even used to express numerical information. For a bird, that is a remarkably advanced ability.
This interview has been edited for length and clarity.
In an ambitious collaboration bridging continents and disciplines, researchers from the University of Vienna and the Lawrence Berkeley National Laboratory have revisited one of astrophysics’ most enigmatic phenomena—the Galactic Center Excess (GCE). For over a decade, the GCE, a subtle yet pervasive gamma-ray glow enveloping the Milky Way’s core, has stimulated intense debate and exploration within the scientific community. This new study, leveraging cutting-edge machine learning methodologies, offers fresh perspectives that reinvigorate the dark matter hypothesis as a viable explanation for the GCE, a prospect previously challenged by conventional analyses.
The Galactic Center Excess presents itself as a roughly spherical halo of gamma-ray emission, extending over thousands of light years around our galaxy’s nucleus. This faint glow eludes straightforward interpretation, primarily due to the complexities of the astronomical environment it inhabits. The region is not only densely packed with astrophysical sources but also exhibits extraordinarily bright and intricately structured gamma-ray emissions, complicating efforts to disentangle the origins of the GCE signal.
Before this study, two primary interpretations vied for dominance in explaining the GCE. One posited that the excess emanates from annihilations of dark matter particles, hypothetical constituents of the universe that interact weakly with ordinary matter and light. Dark matter, while composing approximately 85% of the universe’s matter content, remains elusive, and detecting its indirect signatures through gamma-ray emissions has been a tantalizing goal. The second hypothesis attributes the gamma-ray glow to a population of millisecond pulsars—rapidly rotating neutron stars known for their intense electromagnetic emissions. These pulsars, if sufficiently numerous and faint, could collectively mimic the characteristics of the observed GCE.
However, the astrophysical scenario faced a significant analytical hurdle. Earlier statistical approaches, while sophisticated, did not fully incorporate a vital dimension of the observed data: the energy spectrum of individual gamma-ray photons. Prior analyses predominantly focused on spatial distribution patterns, searching for point sources that could represent pulsars or diffuse emissions consistent with dark matter annihilation. Without the spectral dimension, conclusions remained inconclusive, often biased toward interpretations favoring bright unresolved sources.
The breakthrough in this new research is the implementation of an advanced machine-learning framework that simultaneously evaluates the spatial location and energy distribution of gamma-ray photons captured by telescopes. Training this model required generating over a million simulated gamma-ray skies, replicating a diverse range of scenarios that include both dark matter and pulsar contributions. By synthesizing these rich datasets, the model attains unprecedented sensitivity and discrimination power, uniquely capable of parsing subtle differences in the gamma-ray energy patterns correlated with different source populations.
The enriched analysis dramatically alters the interpretation landscape. The findings demonstrate that the putative point sources—if responsible for the GCE—would need to be extraordinarily faint, to the point where their individual characteristics blur into a diffuse glow nearly indistinguishable from what dark matter annihilation models predict. This faintness requirement for pulsars implies an astronomical population count exceeding 35,000 millisecond pulsars in the central Milky Way region. Such a number challenges existing astrophysical models and contrasts with previous studies that suggested only a few hundred to a few thousand such sources would suffice to explain the gamma-ray excess.
This new quantitative insight reopens the door for dark matter as a plausible explanation. While previous evidence tended to discount dark matter in favor of point sources, the subtlety revealed by including photon energy analysis counters these assertions. It underscores the present limitations in conclusively resolving the GCE’s origin, emphasizing that the dark matter scenario remains firmly on the table alongside pulsar hypotheses.
The difficulty in resolving the GCE nature also reflects broader challenges in high-energy astrophysics—particularly in crowded celestial environments like our galaxy’s core, where overlapping emissions from stars, supernova remnants, and other celestial objects confound the interpretation of indirect dark matter signals. Machine learning, as applied here, represents a transformative tool, capable of synthesizing immense, multidimensional datasets to disentangle complex astrophysical phenomena.
Scientists caution that these findings do not constitute direct evidence for dark matter annihilation; instead, they highlight the incomplete nature of current data interpretations. The inability to definitively favor pulsars over dark matter annihilation underscores the need for next-generation gamma-ray observatories and continued advances in modeling techniques that can incorporate even more nuanced data features, such as temporal variability and polarization signatures.
This research embodies the synergy between theoretical physics, computational innovation, and observational astrophysics, demonstrating how modern data-driven approaches can revitalize longstanding scientific debates. As gamma-ray detection technologies evolve and more data become available, the methodology pioneered here promises further refinement, potentially leading to breakthroughs in identifying signals from the elusive dark sector of the universe.
The Galactic Center Excess remains one of the most compelling mysteries in contemporary astrophysics, symbolizing the frontier where known astrophysical processes intersect with profound questions about the fundamental composition of the universe. Whether future research will tilt the scales decisively in favor of dark matter or pulsars, this study exemplifies the power of interdisciplinary collaboration and sophisticated computational methods to deepen our cosmic understanding.
Moreover, the implications extend beyond academic curiosity. Deciphering the GCE carries the promise of shedding light on the nature of dark matter, a cornerstone of cosmological structure formation and evolution. Success in this endeavor could unveil new physics beyond the Standard Model, revolutionizing our conception of the universe’s fabric and the forces that govern it at the most fundamental level.
As researchers continue to probe the galactic center’s gamma-ray glow, the intellectual journey itself enriches science, reflecting a profound human drive to illuminate the obscure workings of the cosmos. This study marks a significant stride in that journey, blending technology, theory, and observation to navigate a complex astrophysical puzzle whose solution may redefine our place in the universe.
Subject of Research: The Galactic Center Excess in gamma-ray observations and its implications for dark matter and millisecond pulsar populations.
Article Title: Energy Distribution of the Galactic Center Excess’s Sources
In a groundbreaking advancement in neuroscience technology, researchers from the Aerospace Information Research Institute at the Chinese Academy of Sciences have unveiled a state-of-the-art dual-mode wireless microsystem designed to simultaneously monitor electrophysiological activity and dopamine-related electrochemical signals within the brain. This innovative platform promises to illuminate the intricate neural mechanisms underlying pharmacological effects on cortical circuits by capturing real-time electrical and chemical brain dynamics, a feat that has long eluded scientists due to technical constraints.
Neuroscientific investigations often grapple with the challenge of correlating multidimensional neural signals that operate on different modalities. Electrophysiological recordings capture rapid neuronal spikes and local field potentials (LFPs), presenting a temporal resolution ideal for observing immediate neuronal events. However, these signals alone fail to convey the chemical milieu shaping neural behavior. Neurotransmitter dynamics, especially dopamine, play a crucial role in modulating brain function but require sensitive electrochemical detection methods for accurate monitoring. Historically, research platforms have predominantly focused on one modality—either electrophysiological or neurochemical—making it difficult to obtain a holistic understanding of brain states or drug effects.
The newly developed dual-mode microelectrode array tackles this limitation through a sophisticated electrode design. Using platinum nanoparticles (PtNPs) and poly(3,4-ethylenedioxythiophene) polystyrene sulfonate (PEDOT:PSS), the researchers engineered electrophysiological sites with enhanced conductivity and stability for precise spike and LFP recordings. Simultaneously, an electrochemical site tailored for dopamine sensing incorporates additional modifications with reduced graphene oxide (rGO) and Nafion, constructing a PtNPs/PEDOT:PSS/rGO/Nafion composite. This multi-layered structure significantly amplifies electrochemical sensitivity and ensures selectivity against common interferents such as uric acid, serotonin, ascorbic acid, and lactic acid.
On the hardware frontier, the team implemented a hybrid acquisition system that integrates a specialized electrophysiological chip alongside the AD5941 electrochemical front end. An intelligent dual-controller architecture comprising a field-programmable gate array (FPGA) paired with an ESP32 microcontroller orchestrates independent yet synchronized data capture and wireless transmission from both signal modalities. Critical to minimizing crosstalk and data corruption, electrophysiological and electrochemical data streams are transmitted simultaneously but via separate TCP ports. This architectural choice guarantees the temporal alignment and integrity of neural datasets, enabling researchers to dissect the interplay between electrical spikes, LFPs, and dopamine fluctuations with millisecond precision.
The comprehensive calibration and validation of this microsystem were first conducted in vitro. Dopamine calibration curves revealed a robust and linear electrochemical response, confirming the device’s sensitivity and dynamic range. Notably, selectivity tests demonstrated the system’s ability to discriminate dopamine oxidation currents amidst a cocktail of neurochemical interferents, ensuring fidelity in complex biological environments. Furthermore, wireless transmission integrity was rigorously assessed, demonstrating accurate data delivery across distances up to 25 meters with negligible latency or packet loss, underscoring the device’s suitability for freely moving animal experiments without tethers.
Translating these advances into a live animal model, the researchers implanted the dual-mode microsystem into the prelimbic (PrL) cortex of rats. This brain region is integral to executive functions and is sensitive to neuropharmacological modulation. By administering dexmedetomidine—a sedative with known but paradoxical and poorly understood effects on cortical activity—the team pursued a dynamic interrogation of neural electrical firing patterns alongside dopamine fluctuations. This sophisticated approach exposed nuanced dose-dependent changes: higher doses correlated with reduced spike firing rates and dampened peak-to-peak amplitudes, suppressed overall LFP power, increased delta-frequency activity (associated with decreased arousal), and reduced gamma oscillations, indicative of a reconfigured cortical state consistent with sedation.
Simultaneously, electrochemical monitoring unveiled an increase in amperometric signals related to dopamine concentrations as dexmedetomidine dosage escalated. This parallel observation of neurochemical enhancement accompanying electrophysiological suppression substantiates the microsystem’s capability to capture the complex, multifaceted neural correlates of sedation. Importantly, control saline conditions elicited minimal changes, affirming system specificity and the physiological relevance of the recorded responses. These findings reveal the microsystem’s potential as a powerful investigative tool for understanding the neurochemical underpinnings of anesthetic action and cortical state transitions.
The scientific implications of this dual-mode wireless microsystem are profound. Unlike prior single-modality or tethered platforms, this technology conserves 32 independent electrophysiological channels at high sampling rates while integrating dopamine-sensitive electrochemical pathways within the same device footprint. The dual-TCP wireless architecture enables real-time, synchronized acquisition and visualization of electrical and chemical signals, overcoming longstanding barriers in multimodal neural monitoring. Such comprehensive systems are invaluable for probing the mechanistic interactions between neural circuit activity and neurotransmitter dynamics under pharmacological challenges.
Looking forward, despite its remarkable performance, the current microsystem has limitations that present rich avenues for refinement. The modest in vivo sample size tempers broad generalization of the reported electrophysiological and dopamine-related observations. Amperometric readings in vivo remain susceptible to confounding factors such as electrode fouling, baseline drift, shifts in local pH or oxygenation, tissue inflammatory responses, and reference electrode stability. Thus, the data are best interpreted as dopamine-correlated signals rather than exact dopamine quantifications in extracellular space. Furthermore, the system currently relies on commercial electronic components, which constrain further miniaturization. It also lacks integrated stimulation or closed-loop modulation functionalities, which are critical for advanced neuromodulation studies.
Future developments aspire to embed dedicated, custom-fabricated integrated circuits that will shrink device size and power consumption. Incorporation of multimodal closed-loop control systems will enable responsive neurochemical-electrical feedback interventions, enhancing therapeutic and experimental utility. Expanding recording capacity to encompass multiple brain regions simultaneously will provide a more comprehensive spatial map of neurophysiological network dynamics. Cross-validation with orthogonal neurochemical detection modalities could further bolster confidence in dopamine measurements. Together, these advances would propel the technology from a sophisticated measurement tool to an instrumental platform for neurological disease research, neurorehabilitation, and cognitive neuroscience.
The research team responsible for this innovation includes Peiyao Jiao, Yilin Song, Jin Shan, Yu Liu, Qianli Jia, Qi Li, Ying Wang, Yan Luo, Pengfei Zhao, Juntao Liu, Zhenchang Wang, Mixia Wang, and Xinxia Cai. Their work represents a significant leap toward decrypting the intertwined electrical and chemical language of the brain in vivo, promising to inspire future explorations into neural circuit regulation and pharmacodynamics.
This pioneering study titled “A Dual-Mode Wireless Microsystem for Monitoring Dopamine and Spike Changes with Dexmedetomidine” was published on May 21, 2026, in the journal Cyborg and Bionic Systems. It was supported by funding from the National Natural Science Foundation of China, the Major Program of Scientific and Technical Innovation 2030, the Chinese Academy of Sciences Joint Foundation Program, and the Natural Science Foundation of Beijing.
Subject of Research: Dual-mode wireless monitoring of electrophysiological and dopamine-related electrochemical signals in vivo under pharmacological modulation.
Article Title: A Dual-Mode Wireless Microsystem for Monitoring Dopamine and Spike Changes with Dexmedetomidine
News Publication Date: May 21, 2026
Image Credits: Peiyao Jiao, Aerospace Information Research Institute, Chinese Academy of Sciences
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