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- TechCrunch
- Cognition hits $48B valuation, signaling investors believe AI coding is far from a winner-take-all market
- ZME Science
- Scientists Keep Finding the Same Mysterious Beat Across the Animal Kingdom, From Fireflies to Sea Lions
Scientists Keep Finding the Same Mysterious Beat Across the Animal Kingdom, From Fireflies to Sea Lions
- The Debrief
- Major Study Finds Hidden Order in the Psychedelic Brain That Challenges What We Thought About Psilocybin
Major Study Finds Hidden Order in the Psychedelic Brain That Challenges What We Thought About Psilocybin
Psychedelic drugs are often described as throwing the brain into a state where the usual rules begin to break down. Under psilocybin, neural networks that normally organize perception, thought, and our sense of self loosen, blurring the boundaries between the mind and what we perceive as reality.
Close your eyes, and colors and shapes may appear from nowhere. Music can feel almost physical. Even the familiar boundary between where the self ends and the rest of the world seemingly begins to melt away.
From the outside, this altered state can look a lot like a neurological disorder—a brain becoming less synchronized, less structured, and increasingly chaotic.
But a major new brain-imaging study suggests an unexpected order may be hidden within that apparent chaos. Rather than simply scrambling the brain, psilocybin appears to reorganize its activity, making it unusually sensitive to what a person is experiencing in the moment.
Published in Nature, the study used functional magnetic resonance imaging (fMRI), electroencephalography (EEG), and machine learning to examine 62 adults before and after receiving psilocybin.
Researchers say their results uncover a previously hidden form of organization within the psychedelic brain that helps explain why setting and subjective experience can have such a powerful influence on the psychological effects of psychedelics.
“Under psilocybin, brain networks that help us process our inner world and the world around us became less distinct, but reorganized into patterns that reflected what people were experiencing,” lead author and Research Fellow at the Turner Institute for Brain and Mental Health in the Monash School of Psychological Sciences, Dr Devon Stoliker, said in a statement. “We uncovered hidden order within that disruption.”
Past studies have shown that psychedelics disrupt the brain’s usual organization. Psilocybin acts primarily on serotonin 5-HT2A receptors, reshaping communication between sensory regions and higher-level networks involved in cognition, perception, and our sense of self. Researchers have frequently characterized the resulting brain state as more entropic, desynchronized, and disordered.
The new study does not necessarily contradict those findings. Instead, it suggests conventional measurements may have been missing another layer of organization unfolding over time.
Participants, none of whom had previously used psychedelics, underwent both fMRI and EEG while experiencing four different conditions: resting with their eyes closed, guided meditation, listening to music, and watching a silent movie of moving clouds. Researchers recorded their brain activity during a baseline session and again after participants received a 19-milligram dose of psilocybin.
Standard brain-imaging measurements initially produced results consistent with previous psychedelic research. Psilocybin reduced the degree to which the brain remained divided into distinct functional networks. During eyes-closed conditions, connectivity between sensory areas and the wider brain decreased while integration involving associative regions increased.
One especially intriguing change involved the difference between eyes open and eyes closed. Normally, those states produce clearly distinguishable patterns of brain connectivity.
Under psilocybin, however, that distinction narrowed dramatically. In the visual network, the gap in global functional connectivity between eyes-open and eyes-closed conditions fell by 85 percent.
EEG measurements independently showed a similar convergence. Alpha-band activity, normally associated with suppressing visual information while the eyes are closed, decreased under psilocybin, while brain-wide signal complexity increased. Because the effect appeared using two different methods of measuring brain activity, the researchers argue that psychedelic-induced changes in blood flow cannot simply explain it.
Researchers also used machine-learning techniques to follow changes in brain activity over time. Instead of becoming increasingly random, the brain activity of participants experiencing stronger psychedelic effects formed tighter, more clearly distinguishable patterns corresponding to whether they were resting, meditating, listening to music, or watching the movie.
In other words, as the psychedelic experience intensified, researchers became better able to identify what participants were doing simply from the structure of their brain activity. That is essentially the opposite of what would be expected if psilocybin were merely introducing neural noise.
“This shows that context is not just background to the psychedelic experience,” co-author and researcher at the Turner Institute for Brain and Mental Health in the Monash School of Psychological Sciences, Dr. Adeel Razi, explained. “What a person is doing and focusing on shapes how their brain responds.”
The effect was particularly strong among people reporting positive experiences involving unity, bliss, self-dissolution, and the disappearance of boundaries between themselves and their surroundings. It was weaker for purely sensory or hallucinatory effects and largely absent for negative experiences, such as anxiety or impaired cognition.
Researchers call this phenomenon “context alignment” and describe the corresponding subjective experience as “embeddedness.”
Embeddedness differs subtly from simply feeling connected to something. The researchers use the term to describe an experience in which the distinction itself begins disappearing—a feeling that the person is continuous with, rather than separate from, the surrounding environment.
Two brain systems appeared especially important. The default mode network, heavily involved in internally directed and self-referential processing, and the visual network, representing the opposite end of a broad gradient toward externally directed sensory processing. Together, changes in these systems accounted for nearly half of the machine-learning model’s improvement in distinguishing different contexts under psilocybin.
Those findings could influence psilocybin and psychedelic-assisted therapy, where a person’s mental state and surrounding environment have long been considered important.
Half of the participants later ranked their psilocybin session among the most meaningful experiences of their lives. One month later, the group also showed improvements in measures of personal meaning, acceptance of death, and bond with nature, although there was considerable variation between individuals.
However, the findings also come with important caveats. The study involved healthy volunteers rather than patients being treated for psychiatric disorders, meaning the results do not establish whether “embeddedness” itself contributes to the therapeutic benefits reported in clinical psychedelic research. Participants also knew they were receiving psilocybin.
While the researchers identified machine-learning signatures associated with subjective experience and subsequent psychological changes, they acknowledge that additional research is needed to determine whether those patterns hold across populations.
Nevertheless, the results present a different way of thinking about what psychedelics do to the brain. Psilocybin may loosen ordinary neural boundaries without eliminating organization. Beneath what looks like disorder when averaged across time, the brain may actually be reorganizing itself around the person’s immediate experience.
“Until now, brain-imaging studies have mainly told us what happens on average across a group. Using artificial intelligence, we could measure this reorganization in each person,” Dr. Razi notes. “If translated to patients, this could eventually help clinicians understand how someone is responding and predict who is most likely to benefit.”
The recent study, “Psychedelics Align Brain Activity with Context,” appeared in the journal Nature.
Tim McMillan is a retired law enforcement executive, investigative reporter and co-founder of The Debrief. His writing typically focuses on defense, national security, the Intelligence Community and topics related to psychology. You can follow Tim on Twitter: @LtTimMcMillan. Tim can be reached by email: tim@thedebrief.org or through encrypted email: LtTimMcMillan@protonmail.com
- MacVoices
- MacVoices #26233: Live! – Facial Recognition, Biometric Privacy, and Bending Spoons’ Buying Spree
MacVoices #26233: Live! – Facial Recognition, Biometric Privacy, and Bending Spoons’ Buying Spree
Dogs can tell if you're scared or sad
Any dog owner would tell you that their canine companions are attuned to their humans' emotional state and respond accordingly. Scientists have performed fMRI scans on dogs and identified a specific brain region that processes happy human facial expresses, like a smile, according to a new paper published in the journal iScience. They also found that dogs can tell the difference between negative facial expressions, specifically anger, sadness, and fear.
“Humans are really good at picking up small details on the face, and so are dogs,” said co-author Raúl Hernández-Pérez of the University of Vienna. “This makes dogs very interesting. By studying their brains, we can understand what adaptations have developed to support their remarkable social and emotional understanding of humans.”
Prior behavioral studies have shown that dogs are sensitive to emotion in human faces. Dogs will, for example, choose a box their human has identified with a happy expression over one the human treats with fear or disgust. Past fMRI studies found that an area in the canine left temporal cortex showed a stronger response to human faces compared to dog faces, as well as a greater response in the caudate, hippocampus, and amygdala to human faces showing emotion versus neutral faces.


© Laura V. Cuaya/CC BY-SA
Dogs can tell if you're scared or sad
Any dog owner would tell you that their canine companions are attuned to their humans' emotional state and respond accordingly. Scientists have performed fMRI scans on dogs and identified a specific brain region that processes happy human facial expresses, like a smile, according to a new paper published in the journal iScience. They also found that dogs can tell the difference between negative facial expressions, specifically anger, sadness, and fear.
“Humans are really good at picking up small details on the face, and so are dogs,” said co-author Raúl Hernández-Pérez of the University of Vienna. “This makes dogs very interesting. By studying their brains, we can understand what adaptations have developed to support their remarkable social and emotional understanding of humans.”
Prior behavioral studies have shown that dogs are sensitive to emotion in human faces. Dogs will, for example, choose a box their human has identified with a happy expression over one the human treats with fear or disgust. Past fMRI studies found that an area in the canine left temporal cortex showed a stronger response to human faces compared to dog faces, as well as a greater response in the caudate, hippocampus, and amygdala to human faces showing emotion versus neutral faces.


© Laura V. Cuaya/CC BY-SA
This ‘adversarial’ pattern can prevent surveillance cameras from detecting you
Dodo Had Surprisingly Keen Sense of Smell and Owl-Like Vision, New Study Reveals
New research led by University of Lethbridge scientists offers the most detailed look yet at how the dodo (Raphus cucullatus) -- the flightless bird driven to extinction by the 1600s -- actually perceived its world, suggesting the ‘stupid bird’ had a far more complex sensory life than its reputation implies.
The post Dodo Had Surprisingly Keen Sense of Smell and Owl-Like Vision, New Study Reveals appeared first on Sci.News: Breaking Science News.
Decades of Financial Hardship Linked to Faster Brain Aging
A large British study spanning more than 70 years has found that people who experience chronic money struggles over their working lives show measurable declines in memory and processing speed by their 50s, along with signs of accelerated brain shrinkage decades later.
The post Decades of Financial Hardship Linked to Faster Brain Aging appeared first on Sci.News: Breaking Science News.
In This Costa Rican Forest, Monkeys Come Face-to-Face With A.I.
Why Cognition bought Poke: AI personality is becoming a competitive advantage
Forgot your Google password? Now you can log in with a selfie.
Getting locked out of an account is no fun. Google has a few ways to help you regain access if you happen to forget your password or lose an authenticator, including recovery contacts and backup codes. Now, Google has a completely new option: your face. You can now give Google a video record of your face and sign into your account with a selfie, which sounds like something people are going to just love.
You will have to set this feature up ahead of time if you want the option of regaining account access with a selfie later on. To get started, verify your account type is supported. You won't be able to configure selfie sign-ins for Workspace accounts, child accounts, or any account enrolled in Google's Advanced Protection Program.
Configuring selfie sign-in requires you to record a video, which Google will store on its servers. Google's selfie sign-in landing page includes the typical disclaimers about privacy and data access, promising that the company will keep the video encrypted and won't use it for any other purposes unless you opt in.


Forgot your Google password? Now you can log in with a selfie.
Getting locked out of an account is no fun. Google has a few ways to help you regain access if you happen to forget your password or lose an authenticator, including recovery contacts and backup codes. Now, Google has a completely new option: your face. You can now give Google a video record of your face and sign into your account with a selfie, which sounds like something people are going to just love.
You will have to set this feature up ahead of time if you want the option of regaining account access with a selfie later on. To get started, verify your account type is supported. You won't be able to configure selfie sign-ins for Workspace accounts, child accounts, or any account enrolled in Google's Advanced Protection Program.
Configuring selfie sign-in requires you to record a video, which Google will store on its servers. Google's selfie sign-in landing page includes the typical disclaimers about privacy and data access, promising that the company will keep the video encrypted and won't use it for any other purposes unless you opt in.


Whisper and SpeechAnalyzer
Om Malik (2023):
One of the key advantages of MacWhisper, as it utilizes the Whisper technology, is its superior accuracy in transcriptions compared to other services I have used. I was an early adopter of Rev.com and eventually switched to Otter.ai, for which I paid approximately $100/year. However, I have since canceled my subscription.
[…]
After comparing the audio transcripts from MacWhisper and Otter, I found that while Otter’s formatting is superior, there is hardly any difference in the transcriptions. I started with the free model, which was sufficient for my needs, and eventually upgraded to the large models. Nowadays, I primarily use MacWhisper to transcribe my voice memos, which I then import into Lex.Page.
Whisper, which is made by OpenAI, has the distinct advantage of allowing you to transcribe audio in almost any language you may ever need to. For the time being, Otter can only transcribe English. The benefits of better accuracy and accurate punctuation that the service already holds over Siri hold up across other languages as well. If you’re looking to transcribe non-English audio accurately, Whisper is definitely the best option available on Mac.
By taking advantage of OpenAI’s Whisper framework, Audio Hijack can now take any audio it’s recording and generate a text transcript. While this process was possible before—see Jason’s lengthy post about his workflow—it required a lot of fiddling and several different tools to accomplish; it’s certainly a lot easier to simply drop Audio Hijack’s block into your existing session. If you record multiple sources, it can even appropriately label each one—though if you record multiple people via one input, say the other end of a Zoom call, it can’t distinguish between the various participants.
Inscribe (2026, Hacker News):
Apple’s new SpeechAnalyzer is the most accurate on-device speech engine we tested. It beat every Whisper model we ship, including Whisper Small, on both the clean and the noisy half of LibriSpeech, while running roughly three times faster than Small. And the API it replaces, SFSpeechRecognizer, came last on clean speech: behind even Whisper Tiny, a 40MB model.
[…]
The new API cuts word error rate by 3.5 to 4x on the same audio: from 9.02% to 2.12% on clean speech, and from 16.25% to 4.56% on noisy speech. There is no accuracy trade-off to weigh; the new API wins everywhere we measured, and it produces punctuated, cased text where the legacy engine’s output is rougher.
[…]
All five engines ran comfortably faster than real time: between roughly 12x and 40x on the M2 Pro, meaning an hour of audio transcribes in about 1.5 to 5 minutes on-device. SpeechAnalyzer was about 3x faster than Whisper Small per second of audio while beating it on accuracy.
Yuki:
SpeechAnalyzer’s
ReportingOption.fastResultsreads like a knob you’d reach for when you want to trade power for latency. That framing is what cost me the afternoon.[…]
If a recording matters — and in a notes app, a lost meeting is the worst thing that can happen to a user — then the container you write while recording has to be PCM in CAF. Not m4a, and not AAC-in-CAF either.
[…]
AVAudioEngine’s inputNode silently ignores your device selection
[…]
I wanted summarization to run on-device. Everything else in Nib’s transcription path does, the audio never leaves the machine, and it would have been a much cleaner story to tell.
But 4,096 tokens for the Foundation Models isn’t enough.
Previously:
- Futurism
- Top Meta Exec Describes Controversial Facial Recognition Feature in Detail After the Company Claimed It Didn’t Exist
Top Meta Exec Describes Controversial Facial Recognition Feature in Detail After the Company Claimed It Didn’t Exist
Meta executives claimed that a controversial facial recognition feature didn’t “exist.” Fast forward a few weeks later, and they’re describing the feature in public — and in detail.
In June, a Wired investigation revealed that Meta had quietly infused unreleased facial recognition tech into its “AI Glasses,” the tech giant’s chatbot and camera-equipped smart glasses. While the feature, dubbed NameTag, was inaccessible to consumers, it was designed to register faces encountered by Meta glasses wearers “into unique biometric signatures, commonly known as faceprints, and check each one against faceprints stored on the user’s phone,” according to the magazine.
It’s safe to say that Meta executives were furious after Wired published its investigation. After all, the company has a long track record of data privacy violations. The revelation that its “pervert glasses,” as some have taken to calling Meta’s controversial smart glasses, could soon be using facial recognition tech — not unlike the eyewear being used by Immigration and Customs Enforcement (ICE) agents — fueled an existing PR disaster.
Andy Stone, the tech giant’s spokesperson and VP of communications, declared on X that Wired’s reporting was “intellectually dishonest” and “advocacy-driven click bait.” What’s more, according to Stone, NameTag was fully nonexistent.
“Here’s a thing: Wired reports Meta didn’t answer several questions about how this will work,” Stone added in a follow-up post. “How could we? The feature doesn’t exist!”
In response to Stone, another Meta executive, chief technology officer Andrew “Boz” Bosworth, jumped in.
“Incredibly misleading from Wired,” he wrote. “Absolutely dishonest.”
Yet despite company leaders reassuring us that the feature doesn’t exist, Bosworth discussed it in detail during an interview with The Atlantic CEO and podcaster Nick Thompson. Bosworth’s comments in the interview, which was published last week, seemingly contradicted his fellow executives, revealing that the feature did indeed exist.
NameTag, Bosworth told Thompson, would be “encrypted locally to your device,” and would catalog people who smart glasses wearers “met in person, with your glasses on, who introduced themselves, or you said, ‘okay, this is David, remember this person.'”
This information is “only available to you, when you are wearing your glasses,” Bosworth added. He emphasized that the data captured by NameTag wouldn’t be stored in a centralized database.
“This is a person you’ve met before. Here’s their name. They’re right in front of you. That’s… what we call a NameTags feature,” said Bosworth. “I think people get confused because they hear face recognition and they think, ‘oh, there’s a central face database that everyone’s being scanned constantly into.’ It’s not that.”
In addition to supporting blind or low-vision smart glasses wearers, said Bosworth, NameTag could solve what Meta calls “the cocktail party problem,” saving wearers from any awkwardness that may arise when encountering people at parties who they’re sure they’ve met before, but can’t quite place.
“It’s a very universally human problem,” Bosworth said. “Nearly every human I talk to, no matter what their status of their vision or their memory, understands that this is a problem that would help them feel more comfortable in social situations if they had it.”
To be clear, Wired never suggested that the facial recognition feature it uncovered was being used to build a “central face database” by way of Meta’s smart glasses. Indeed, in line with what Bosworth said in the podcast appearance, Wired reported that “code discreetly added to Meta’s AI app over multiple updates this year shows that the feature, internally called ‘NameTag,’ identifies people captured by the glasses’ camera and, when activated, alerts the wearer when it recognizes someone.” The story also repeatedly noted that the feature was unreleased and inaccessible to glasses wearers.
When journalists and others called out the contradiction between Meta’s past and recent statements, Stone — the comms executive who said that Wired couldn’t answer questions about the feature because it “doesn’t exist” — jumped back in the comments section.
“We have said for months we’re exploring such features, even as nothing has shipped to consumers,” the spokesperson said in response to a post by The Intercept journalist Sam Biddle. “No secret there despite the conspiratorial thinking.”
There’s a big difference between a feature not existing and a feature that exists — if still unfinished — and has yet to be released. Meta appears to be arguing that if a feature remains inaccessible to consumers, it’s technically nonexistent, even if the company has gone as far as to issue multiple updates inserting code for the feature into products that are already in consumers’ hands. (Meta quietly deleted the NameTag code after its existence was made public.)
During the podcast interview, Bosworth took care to emphasize that Meta is considering the privacy implications of a facial recognition-powered feature like NameTag. He noted that it’s likely illegal in states like Illinois and Texas, and that it “has to be done in a way that people feel comfortable.”
Meanwhile, Meta continues to fight an ongoing consumer harm lawsuit, prompted by an investigation by a pair of Swedish newspapers. The publications found that Meta collected recordings by smart glasses wearers and passed them along to human data labelers, despite promising consumers that their recordings would be stored only on their devices.
“Designed for privacy,” reads a webpage for Meta’s smart glasses, “controlled by you.”
More on Meta’s smart glasses: Meta Furious Over Bombshell Smart Glasses Revelation
The post Top Meta Exec Describes Controversial Facial Recognition Feature in Detail After the Company Claimed It Didn’t Exist appeared first on Futurism.

- The Guardian - Technology
- ‘Adversarial clothing’: are garments designed to confuse facial recognition systems about to go mainstream?
‘Adversarial clothing’: are garments designed to confuse facial recognition systems about to go mainstream?
Designers say that as well as offering a degree of protection from surveillance, their clothes make a powerful fashion statement about the importance of privacy
As facial recognition technology is rolled out across Britain’s public spaces, a new generation of designers say privacy could be the next big fashion trend.
Companies have started incorporating “adversarial patterns” in their garments – carefully designed arrangements of shapes, colours and repeated motifs said to exploit weaknesses in some computer vision systems.
Continue reading...
© Photograph: PR

© Photograph: PR

© Photograph: PR
Desflurane vs. Propofol: Impact on Elderly Brain Health
In the evolving landscape of anesthetic management for elderly patients, the impact of anesthetic agents on cognitive outcomes remains a critical area of investigation. Recent research published in BMC Geriatrics in 2026 has provided new insights into the differential effects of desflurane and propofol on perioperative neurocognitive disorders (PND) in older adults undergoing major urological surgeries. This randomized, controlled trial extends our understanding of how anesthetic choices may influence postoperative cognitive trajectories, a subject of immense importance given the increasing aging population and prevalence of complex surgeries in this demographic.
Perioperative neurocognitive disorders encompass a spectrum of cognitive impairments that arise in the perioperative period, including delirium and longer-lasting cognitive decline. Older adults are particularly susceptible due to age-related neurodegenerative changes, comorbidities, and the physiological stresses induced by anesthesia and surgery. Establishing whether specific anesthetics can exacerbate or mitigate these neurocognitive phenomena has significant implications for optimizing perioperative care and improving long-term functional outcomes for elderly patients.
The study under discussion rigorously compared desflurane, a volatile inhaled anesthetic known for its rapid onset and recovery, with propofol, an intravenous sedative-hypnotic agent valued for its favorable safety profile and neuroprotective properties observed in preclinical studies. The trial enrolled a robust cohort of older individuals scheduled for extensive urological procedures, randomizing them to receive either desflurane or propofol-based anesthesia. Cognitive function was meticulously assessed preoperatively and at multiple postoperative intervals using standardized neuropsychological tests sensitive to subtle cognitive changes, allowing for detailed temporal mapping of cognitive trajectories.
Findings from this investigation demonstrated notable differences between the two anesthetic regimens regarding the incidence and severity of perioperative neurocognitive disorders. Patients anesthetized with desflurane exhibited a higher frequency of early postoperative delirium and more pronounced cognitive decline at follow-ups compared to those who received propofol. These results resonate with emerging evidence suggesting that volatile anesthetics may contribute to neuroinflammation and neuronal stress, mechanisms hypothesized to underlie PND, whereas propofol’s antioxidative and anti-inflammatory effects potentially confer neuroprotection.
Critically, the study employed strict methodological standards to minimize bias and confounding, including blinding of outcome assessors and adjustment for variables such as baseline cognitive status, comorbidity burden, and surgical complexity. This rigorous approach increases confidence that the observed differences in cognitive outcomes stem from the anesthetic agents themselves rather than extraneous factors. Furthermore, the trial’s focus on major urological surgeries — procedures that are often lengthy and physiologically demanding — adds clinical relevance, as these patients typically face heightened risks of adverse neurocognitive sequelae.
The implications of these findings extend beyond a mere comparison of anesthetic efficacy and safety. They invite a reevaluation of perioperative protocols for elderly patients, advocating for anesthetic strategies that prioritize cognitive preservation alongside hemodynamic stability and analgesia. Propofol’s apparent advantage in attenuating PND risk may encourage clinicians to tailor anesthesia plans more judiciously, potentially integrating adjunctive measures such as enhanced monitoring of cerebral oxygenation and inflammation markers.
Mechanistically, the differential impact of desflurane and propofol on cognitive outcomes may relate to their interactions with neuronal glutamate receptors, modulation of synaptic plasticity, and influence on the blood-brain barrier permeability. Desflurane, despite its rapid elimination, has been associated with increased production of reactive oxygen species and microglial activation in animal models, processes that can trigger neuroinflammation and synaptic dysfunction. In contrast, propofol’s chemical structure facilitates scavenging of free radicals and suppression of pro-inflammatory cytokines, suggesting a neuroprotective milieu during the vulnerable perioperative period.
Additionally, this study sheds light on the critical period immediately after surgery, where interventions targeting delirium prevention could be best leveraged. The higher delirium rates observed with desflurane highlight the necessity for vigilant postoperative cognitive assessments and early rehabilitative efforts in patients exposed to volatile anesthetics. Conversely, the more favorable cognitive profile seen with propofol might translate into shorter hospital stays, reduced postoperative complications, and better quality of life trajectories, outcomes that remain to be explored in subsequent longitudinal research.
Beyond the direct effects on cognition, the choice of anesthetic also influences systemic physiological responses including hemodynamic fluctuations and respiratory function, which can indirectly affect brain perfusion and oxygenation. This study’s comprehensive monitoring protocols provide a nuanced framework for balancing these considerations while still focusing on optimizing neurological outcomes in frail and complex surgical populations.
The authors acknowledge certain limitations such as the single-center design and the need for larger-scale multicenter studies to validate these results across diverse patient populations and surgical contexts. Nonetheless, this investigation constitutes a significant advancement in the personalized management of anesthesia in elderly patients, framing future research priorities that integrate neurocognitive outcomes as central endpoints in anesthesiology trials.
In conclusion, this landmark trial delineates a clear divergence in neurocognitive outcomes based on the anesthetic agent used, favoring propofol over desflurane in terms of mitigating perioperative neurocognitive disorders in older adults undergoing major urological surgery. These insights compel a paradigm shift towards individualized anesthetic regimens that prioritize cognitive health, thereby enhancing recovery trajectories and long-term well-being in the vulnerable aging population. As the global burden of neurocognitive disorders grows, such targeted perioperative strategies stand poised to transform clinical practice and elevate standards of geriatric surgical care profoundly.
Subject of Research: Effects of anesthetic agents on perioperative neurocognitive disorders in elderly patients undergoing major urological surgery.
Article Title: Effect of desflurane versus propofol on perioperative neurocognitive disorders in older adults undergoing major urological surgery: a randomized trial.
Article References:
Somnuke, P., Siriussawakul, A., Pongraweewan, O. et al. Effect of desflurane versus propofol on perioperative neurocognitive disorders in older adults undergoing major urological surgery: a randomized trial. BMC Geriatr (2026). https://doi.org/10.1186/s12877-026-07823-x
Image Credits: AI Generated
- Ars Technica - All
- The UK will scan asylum-seekers’ faces for age checks—despite knowing the tech is flawed
The UK will scan asylum-seekers’ faces for age checks—despite knowing the tech is flawed
Age verification is consuming the Internet. From social media bans in Australia to porn restrictions in half of US states, for many having to prove their age to access websites is becoming an everyday requirement. But one of the key technologies underpinning many of these age checks is about to seep into the offline world—with potentially life-changing consequences for people having their age predicted by AI.
Starting next year, the British government is planning to introduce facial age estimation—where AI scans your face and suggests how old you are—to help determine the age of asylum seekers arriving at the United Kingdom’s border. The move is believed to be the first time that a so-called facial age estimation (FAE) system has been used in this way. Many asylum seekers arriving in the UK will not have documents proving their age, and if children are incorrectly classed as adults, they can be stripped of some legal protections and placed in adult-only detention centers.
An investigation by WIRED and Lighthouse Reports, in collaboration with The Independent, has obtained an internal UK government report detailing its tests of FAE technologies. It shows how the systems regularly mistake children for adults and appear to contain serious bias problems, which directly impact the largest group of migrants subject to age assessments in 2025, according to data from the Home Office. The investigation raises questions about the effectiveness of the technology and whether it should be deployed in such high-stakes scenarios.


© Nicolas Economou/NurPhoto via Getty Images