A self-taught ornithologist, he won a MacArthur fellowship for his precise, resplendent illustrations that appeared in definitive field guides to tropical songbirds.

Siemens and HD Hyundai added momentum to moves to apply AI in specific ways, agreeing to develop methods to improve shipbuilding processes in a deal primarily intended to boost capacity in the US.

The deal is valued in the low-triple-digit millions of dollars range and involves using Siemens’ Xcelerator digital business platform to provide an overview of engineering, manufacturing, supply chain and shipyard operations.

Siemens explained the “digital shipyard” concept holds the potential to speed production and improve quality, facets expected to benefit the entire shipbuilding value chain.

It stated such a step-up would help satisfy growing “demand for greater and more advanced shipbuilding capacity in the US and other markets”.

Siemens anticipates benefits for full modernisation schemes along with projects taking a more staged approach to upgrades.

President and CEO Roland Busch said the companies are moving to use AI to help shipbuilders manage the “enormous complexity” of producing “advanced vessels”.

The companies are “building the operating system for industrial AI” by “connecting data, software and automation”.

Siemens and HD Hyundai also plan to back the Korea-US Shipbuilding Partnership Centre, a site opened in Washington D.C. yesterday (23 July) to foster collaborations on digitising shipbuilding which The Korea Times reports forms part of a $150 billion investment in the industry in the US agreed in a bilateral trade deal with South Korea in 2025.

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Paleontologists have unearthed a remarkably preserved fossil snake in Brazil that is reshaping ideas about how the earliest snakes lived and complicating the long-running debate over whether their ancestors burrowed underground, swam in the sea or crawled the surface.

The post Did Early Snakes Burrow, Swim or Crawl? 80‑Million‑Year‑Old Fossil Suggests: All Three appeared first on Sci.News: Breaking Science News.

Telus lured a former executive back to the company from the world of private equity, as it lined up the team it hopes will drive a transformation of its core telecom business.

David Fuller is set to become EVP and group president of Telus Communications on 1 September in an executive shuffle to advance a rejig of the Canadian operator’s business by focusing capital on high margin products, services and customer segments.

Telus president and CEO Victor Dodig (pictured, right) said he has “no doubt” Fuller would “engage and focus our team”, branding the executive “one of the most talented and experienced telecom executives in Canada”.

Fuller ended a 15-year tenure at Telus in 2019 and is returning from a role with Silverlight Capital Partners. He is not long out of the Canadian telecoms sector, though, having been president of Rogers Wireless between 2021 and 2022.

Current Telus Business Solutions president Navin Arora is to become EVP and group president of its Global Platform business, which covers health, agriculture, consumer goods and digital services.

Arora is also to head up enterprise corporate strategy, along with Telus Global Ventures, corporate development and data centre planning.

Dodig described Arora as being given a “critical” position involving “driving value” from the various business units involved.

Current Telus Consumer Solutions EVP Zainul Mawji is to leave, ending a spell of more than 20-years with the company. Dodig said she played key roles in a fibre expansion project and providing products spanning its “residential, security, automation and health lines of business”.

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T-Mobile US won the most categories in Opensignal’s latest network experience report, which also examined the performance of AT&T and Verizon over a 90-day period during a window which included the FIFA World Cup.

Opensignal stated the Q2 research covered tested operators’ ability to manage network congestion both at stadiums and across host cities.

Verizon, as the World Cup’s official telecommunications sponsor, deployed private 5G and fixed wireless access to support broadcast and retail operations at venues, alongside investment in surrounding communities.

AT&T launched a premium Turbo Live service in January to ease congestion at live events and introduced a World Cup eSIM for visiting fans, while T-Mobile rolled out new Dynamic CX capabilities on its AI-powered self-organising network and promoted its T-Priority service for first responders.

Opensignal pointed to a Federal Communications Commission spectrum auction in June, a re-auction of mid-band licences previously held by Dish Network, as a key factor shaping future capacity.

On network performance, T-Mobile won best download speed outright at 192.5Mb/s, nearly 97Mb/s ahead of second-placed AT&T at 96Mb/s and Verizon third at 89.4Mb/s.

T-Mobile also led the 5G download speed category at 247.4Mb/s, ahead of AT&T’s 223.5Mb/s and Verizon’s 179.2Mb/s, and swept both upload speed (16 Mb/s) and 5G upload speed (19.2 Mb/s) awards.

In reliability and consistency, T-Mobile won reliability experience with 942 points, narrowly ahead of AT&T’s 939 and Verizon’s 932, and led consistent quality at 82.8%, ahead of Verizon’s 80.4% and AT&T’s 79.4%.

Coverage
Verizon won the coverage experience award outright with 9.7 points out of 10, narrowly ahead of AT&T, while T-Mobile was ranked third, but won 5G coverage with 8.5 points.

AT&T topped time on network at 99.6%, though T-Mobile led 5G Availability at 91.8%, with Verizon closing the gap significantly, up seven percentage points from the prior report.

For video and gaming, T-Mobile won video experience and live video experience, while Verizon took top honours across 5G video experience and 5G live video Experience. T-Mobile also swept both games experience and 5G games experience awards.

All told, T-Mobile won 12 out of the 16 categories.

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Intel and Google Cloud broadened their multi-year strategic collaboration with plans to deploy Gemini Enterprise and Google Cloud infrastructure across the chipmaker’s global operations as part of a wider AI-driven transformation.

Under the expanded partnership, Intel will roll out Gemini-powered generative AI tools across engineering, supply chain and corporate functions, aiming to scale workforce capabilities through agentic workflows.

The hyperscaler’s infrastructure will also support Intel’s semiconductor development environment, with custom agentic workflows intended to speed up the chip design lifecycle and improve cross-functional execution.

Intel CIO Cindy Stoddard stated the collaboration gives employees a central hub to build and deploy agents through Gemini Enterprise, alongside elastic cloud infrastructure to scale silicon development, as part of the company’s push to move faster and more efficiently.

Karthik Narain, chief product and business officer at Google Cloud, described the partnership as an effort to pair Intel’s engineering expertise with agentic AI tools to create what he called an autonomous foundation for how the chipmaker designs, operates and scales its business.

The companies stated the deployment moves Intel beyond isolated AI pilot programmes. Through the Gemini Enterprise Agent Platform, Intel’s business units will be able to build and run tailored line-of-business agents aimed at automating core processes and speeding up data-driven decision-making.

Gemini’s reasoning capabilities will also power dedicated coding assistance and engineering automation tools designed to streamline software development pipelines and automate multi-step workflows.

Intel is separately piloting Google Cloud-powered tools for marketing and communications, including agents that can identify relevant subject matter experts, draft executive-ready messaging, and generate supporting content across communications channels.

On the infrastructure side, Intel is extending its on-premises compute capacity into Google Cloud’s C4 and N4 instances to support silicon development simulations and core engineering workloads, letting engineering teams run high-performance computing simulations concurrently to shorten chip development cycles.

The tie-up builds on a partnership which has deepened steadily this year. In April, Google committed to using multiple generations of Intel’s Xeon processors, including the 18A-manufactured Xeon 6, to support AI training and inference in its data centres, alongside a plan to co-develop custom infrastructure processing units.

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Micron Technology secured strategic supply agreements with major automotive partners including Qualcomm and Harman to guarantee long-term chip access for software-defined vehicles.

The deals come during an aggressive industry-wide race to expand manufacturing capacity to meet a massive surge in memory chip demand driven by rapid AI adoption.

As the only US-based manufacturer of high-bandwidth memory chips used in Nvidia’s AI processors, Micron occupies a unique market position alongside South Korean rivals Samsung and SK Hynix, allowing it to command premium prices while solidifying long-term commitments during ongoing hardware shortages.

Micron also struck deals with Visteon, Joynext, Denso, Astemo, and Hyundai Mobis. It stated the agreements would improve visibility and help optimise production planning. It expects greater stability in pricing and supply chains for increasingly sophisticated AI-enabled vehicle platforms.

Demand for high-performance DRAM and NAND flash memory has grown as the automotive sector transitions toward highly connected, autonomous and intelligent designs.

Modern vehicle architectures require robust computing hardware to support advanced driver assistance systems, infotainment services and high-speed connectivity.

Sanjay Mehrotra, chair, president and CEO of Micron, emphasised the next phase of automotive innovation hinges on the strength of the ecosystem behind it. He noted “memory and storage serve are critical enablers” for the sophisticated digital experiences consumers expect.

Qualcomm CEO Cristiano Amon highlighted the collaborative effort required to deliver advanced digital cockpit and driver assistance technologies. He stated working with Micron provides a strong hardware foundation as vehicles become more intelligent and connected.

The automotive sector is a key area for increasing Qualcomm’s revenue beyond mobile chips. In its April Q2 earnings, it reported Automotive sales rose 38 per cent to $1.3 billion.

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Thinking Machines Lab unveiled its first AI model more than a year after former OpenAI executive Mira Murati (pictured) founded the start-up, moving it from research previews to a full launch.

The Inkling model is designed to reason natively across text, images and audio, while balancing cost against performance through variable, adjustable effort.

Thinking Machines stated the model is trained to exhibit safe behaviour across all modalities.

The company noted Inkling is a mixture-of-experts transformer with 975 billion total parameters and 41 billion active parameters, supporting a context window of up to 1 million tokens.

Thinking Machines described it as the first in a family of models of varying sizes.

Rather than chasing state-of-the-art performance in a single domain, Thinking Machines said it trained Inkling for solid capabilities across agentic tasks, reasoning, coding, instruction-following, factuality, vision and audio, positioning it as a foundation model for future releases.

The company acknowledged Inkling is not the most performant model available today, closed or open.

Inkling is open-weight, meaning developers can download and customise the model without access to training data or source code.

It is available for fine-tuning on Tinker, Thinking Machines’ developer platform, alongside a so-called Inkling Playground for testing the model directly.

Bloomberg reported Thinking Machines is not aiming to monetise the model itself; the company currently generates revenue through Tinker, which it sells to customers including hedge fund Bridgewater Associates for financial-task fine-tuning.

The news outlet noted Murati’s company raised $2 billion at a $12 billion valuation last year and was reportedly in talks over a larger subsequent round, though it added several employees have since departed for firms including Meta Platforms and OpenAI.

Bloomberg also reported the launch could help fill a gap in the US open model market, as Meta shifts focus on proprietary offerings and rising AI spending pushes some users toward freely available Chinese models.

Thinking Machines was founded in early 2025 by Murati and a host of other former OpenAI employees, with the company initially focused on collaboration between the technology and people.

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Anthropic is reportedly seeking to meet with investors ahead of a potential mega-IPO, as the company prepares to join a wave of AI-driven stock market debuts.

Bloomberg reported the banks leading the offering are scheduling meetings between investors and the Claude chatbot maker in the coming weeks, citing people familiar with the matter. The news outlet previously stated Anthropic is considering an IPO as soon as October.

Deliberations remain ongoing and details including timing could still change, Bloomberg stated.

Moving ahead on the timeline would put Anthropic ahead of rival OpenAI, which is now eyeing a debut in 2027 after earlier targeting 2026.

The news site noted an IPO in October would also see Anthropic list before DeepSeek, the Chinese AI company which has been steadily gaining market share.

DeepSeek is reportedly preparing its own IPO and could file this year.

Bloomberg stated Anthropic is working with Morgan Stanley, Goldman Sachs and JPMorgan Chase on its IPO.

The AI player is also navigating uncertainty tied to its relationship with the Trump administration, which briefly imposed foreign access restrictions on two of Anthropic’s top models.

Anthropic separately sued the US Department of War after it declared the company posed a risk to the nation’s supply chain.

The company was valued at $965 billion following a funding round in May, making it one of the world’s largest private companies and pushing its valuation past OpenAI’s for the first time.

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Bell Canada completed construction of its first sovereign direct-to-device (D2D) satellite ground station, a milestone in a strategy to offer connectivity beyond the reach of its traditional wireless network.

The facility in the province of Quebec connects with AST SpaceMobile satellites, with testing underway as the operator works to build the infrastructure required to provide D2D services.

Bell stated the companies completed integration testing covering “text messaging, broadband data connectivity”, and voice and video calls.

Video streaming, IoT and public alert tests are scheduled for the coming weeks.

The milestone builds on demonstrations Bell and AST SpaceMobile ran in 2025.

In addition to connecting customers in rural or remote locations, Bell stated the service is expected to support use cases including emergency response, environmental monitoring, resource development, energy production and transportation.

The company is continuing to build ground station infrastructure elsewhere in Canada, with additional sites under construction in the provinces of Ontario, Alberta, and Newfoundland and Labrador.

Bell explained the facilities would provide nationwide D2D coverage while ensuring customer traffic runs through domestic infrastructure and data remains sovereign.

EVP and CTO Mark McDonald said the ground infrastructure “is designed to support a full suite of D2D capabilities including messaging, data connectivity, voice calling and video streaming”.

AST SpaceMobile CCO Chris Ivory pointed to Canada’s geography as a driver for the project, explaining the work with Bell would provide seamless connectivity “beyond the reach of traditional terrestrial networks”.

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Thousands of fossilized bones from a Cretaceous-period bonebed in Wyoming, the United States, offer rare physical evidence that Tyrannosaurus rex fed on the carcasses of a duck-billed dinosaur species called Edmontosaurus annectens.

The post Tyrannosaurus rex Scavenged Duck-Billed Dinosaurs in Ancient Wyoming, Bite Marks Reveal appeared first on Sci.News: Breaking Science News.

The US government launched a cybersecurity coordination group allowing AI developers and service providers a formal way to work together to respond to threats emerging from the technology.

The White House stated it, along with the Department of the Treasury, Homeland Security, Department of War and the Cybersecurity and Infrastructure Security Agency worked closely with industry partners to detect threats faster and develop a rapid and prioritised response to cyber vulnerabilities across critical infrastructure sectors.

The group, called Gold Eagle, has been spearheaded by President Donald Trump as part of his vision to secure and accelerate American AI innovation.

It was first revealed as part of Trump’s executive order in June to promote advanced AI innovation and security, which includes plans for the release of a new operational model for cyber defence.

The model aims to tap into frontier AI capabilities to continue advancing faster than adversaries, reduce duplicative scanning efforts and “deliver prioritised and actionable threat and remediation information to defenders” across the government and private sector.

The White House statement explained Gold Eagle will help government and industry collectively identify risks, prioritise action and strengthen the resilience of systems that power the economy, national security and daily life.

Companies involved in the coordination group were not disclosed.

Trump’s administration has taken a hands-on approach to AI regulation.

In May it unveiled a legislative framework to create uniform security and safety guardrails. This followed another executive order at the end of 2025 to secure control of AI regulation away from individual states.

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A new genus and species of lambeosaurine hadrosaurid dinosaur has been identified in southern Alberta, Canada, dating back 77 million years to the Campanian age of the Cretaceous period.

The post New Crested Dinosaur Species Identified in Canada appeared first on Sci.News: Breaking Science News.

New York made history by becoming the first US state to halt the construction of massive new data centres, imposing a one-year moratorium as concerns escalate over the environmental and financial toll of the AI boom.

The moratorium, outlined in an executive order signed by Governor Kathy Hochul (pictured), targets hyperscale operations by halting discretionary environmental permits for new facilities requiring 50 megawatts or more of power.

The rapid expansion of facilities housing thousands of computer servers has triggered intense community and political backlash across the US.

“This pause will remain in place for up to one year while New York establishes the strongest possible framework to protect our community’s guardrails to reduce the risk to our energy grid, minimize land disruption, noise pollution, and protect our natural resources, especially our water supply,” Hochul stated during a press conference. “We’re going to explore having hyperscale data centres pay into a larger fund to support our grid statewide.

“We need to invest in this, help defray costs, reduce bills for our rate payers,” she added. “We expect this process, which we already launched, to be completed within the year.

Once the policy is in place, the freeze will be reviewed and lifted, Hochul stated.

She also said the data centres should only be built in areas which want them and “they will never be exempt from local zoning, local approvals”.

Local populations are increasingly concerned the energy-hungry centres by companies including Alphabet, Microsoft, Meta, Amazon, and Oracle are inflating residential utility bills, straining electricity grids and consuming millions of gallons of water for cooling.

Hochul framed the aggressive intervention as a necessary protective measure for state residents, stating as data centre development threatens to hike utility bills and deplete natural resources, it is her responsibility to act.

She noted labour organisations will have a seat at the AI data centre discussions “so projects can include wage standards and labour agreements and prioritise local hiring”.

To further rein in the sector, Hochul announced plans to pursue legislation to repeal lucrative sales tax exemptions currently enjoyed by hyperscale data centre operators.

“New Yorkers work hard and, on my watch, their tax dollars will not be used to benefit these large firms, these centres.”

Reuters reported Hochul directed state officials to develop a Generic Environmental Impact Statement. The comprehensive assessment will establish consistent operating and environmental standards for new facilities while examining the overall footprint of data centre construction and operation across the state.

The construction ban will be lifted once the rigorous regulatory guidelines are finalised.

The news outlet reported state lawmakers recently passed a bill targeting data centres consuming 20 megawatts or more of power, representing a wider scope than the governor’s executive order.

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Paleontologists in Uruguay have identified a new species of aeolosaurine titanosaur from a pair of remarkably well-preserved tailbones unearthed in the 1980s near the Uruguay River.

The post Paleontologists Discover New Species of Titanosaur in Uruguay appeared first on Sci.News: Breaking Science News.

Today, lepidosaurs -- the reptile group that includes lizards, snakes and New Zealand’s tuatara -- are among the most diverse vertebrates on Earth, but their earliest evolutionary history remains poorly understood.

The post Tiny Triassic Reptile Sheds Light on Early Lizard Evolution appeared first on Sci.News: Breaking Science News.

Did you know that the space shuttle once launched the Statue of Liberty into space?

In fact, there were two "Lady Liberties" on board Discovery when it lifted off on its fourth flight in April 1985. To be fair, each statue was only 15 inches tall (38.1 centimeters), but they were also each made of copper that was removed from the full-size statue during its then-still-ongoing restoration.

After the weeklong STS-51D mission was over, one of the space-flown statues was placed on display, and the other was melted down to create copper seals, which were then sold to the public by the Statue of Liberty Ellis Island Centennial Commission.

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The US Federal Communications Commission (FCC) closed an AWS-3 re-auction with gross winning bids topping $3.5 billion in what was the agency’s first spectrum sale after a four-year lapse in activity.

Bidding concluded for Auction 113 yesterday (23 June) after 72 rounds for the 200 licences across the 1695-1710MHz, 1755-1780MHz and 2155-2180MHz bands.

All the licences received bids in the process, which had 17 qualified participants and began on 2 June.

The frequencies were originally auctioned to Dish Network, which is now part of EchoStar, in 2014 but never made it into service after a series of defaults and bid withdrawals left them sitting unused in the FCC’s inventory for more than a decade.

In 2015, Dish Network affiliates Northstar Wireless and SNR Wireless surrendered a number of spectrum licences worth $3.5 billion after a dispute with the FCC over discounts.

In April, the FCC and EchoStar reached an agreement which included the latter dropping a lawsuit it filed in a US Court of Appeals over the defaults by Northstar and SNR.

The financial total carries significant regulatory implications. Up to $3.3 billion of the proceeds will be legally directed to cover funds borrowed for the FCC’s Secure and Trusted Communications Networks Reimbursement Program, commonly known as the “rip and replace” initiative to swap out Huawei and ZTE gear from US networks.

Surpassing the $3.5 billion mark clears the $2.9 billion threshold required for EchoStar to avoid paying a potential shortfall payment to the regulator under a prior settlement framework.

While specific winning bidders remain anonymous under strict anti-collusion quiet period rules, AT&T, Verizon, T-Mobile US and SpaceX are widely expected to have driven the demand.

The event marks a milestone for FCC chair Brendan Carr, representing the return of the agency’s auction power.

“After years on the sidelines, FCC auctions are finally back,” Carr stated. “Today’s successful auction generated billions of dollars in competitive bids to put spectrum to effective commercial use, and it bolsters competition in the wireless marketplace.”

The FCC plans to carry the momentum into its upcoming Upper C-Band auction, tracking on schedule to meet a congressional deadline to auction at least 100MHz of the spectrum by July 2027.

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SpaceX reportedly signed a significant computing power deal with Reflection AI, making the open-source start-up the latest outside company to tap Elon Musk’s Colossus infrastructure.

CNBC reported Reflection will get access to Nvidia’s GB300 chips, the company’s top-tier hardware for training and running advanced AI models, housed at SpaceX’s Colossus 2 facility in Memphis, Tennessee.

Reflection agreed to pay SpaceX $150 million per month starting 1 July through 2029, with total payments reaching roughly $6.3 billion if the agreement runs its full term.

Either party can terminate the contract with 90 days’ notice after the first three months. Bloomberg reported Reflection will pay SpaceX’s AI division, SpaceXAI, under the arrangement.

Colossus was originally built in part to power Grok, Musk’s AI chatbot as a rival to ChatGPT, but SpaceX has increasingly opened the infrastructure to outside AI companies seeking compute capacity.

The deal is smaller than two of SpaceX’s other compute agreements. According to TechCrunch, SpaceX’s existing contracts with Anthropic and Google cost those companies $1.25 billion and $920 million per month, respectively, with both agreements also running through July 2029.

CNBC reported SpaceX has also struck a computing power-related deal with Cursor prior to buying the company for $60 billion earlier this month.

In October 2025, Nvidia led a $2 billion funding round for the open-source start-up, directly contributing $800 million of the total to value Reflection AI at $8 billion.

Reflection AI was founded in 2024 by Misha Laskin and Ioannis Antonoglou, both alumni of Google’s DeepMind lab.

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Groq raised $650 million in funding as the company revamps itself from a chip startup into a data centre operator focused on AI inference.

The round was led by growth-focused investment company Disruptive and hedge fund Infinitum, both of which already hold board seats at Groq.

The funding follows a non-exclusive licensing agreement Groq struck with Nvidia in December 2025. At Nvidia’s GTC event earlier this year, the chipmaker unveiled its next-generation LPX platform, which incorporates Groq’s inference technology.

US-based Groq stated it plans to use the new cash to expand its network of 13 data centres in North America, Europe, the Middle East and Asia-Pacific, and quadruple total capacity to 200 megawatts by the end of 2027.

The new capital will also fund the fit-out of its existing footprint with Groq’s latest inference technology, including Nvidia’s new LPX system.

In September 2025 Groq raised $750 million, which valued it at $6.9 billion. Its backers include KDDI, Samsung Electronics, Cisco Systems and BlackRock.

Groq chair Alex Davis stated the company spent years building the technology, infrastructure and operational expertise needed for AI’s next phase, adding it is positioned to become a foundational layer of the AI economy.

Groq also announced several executive additions alongside the funding news. Alan Rice, who previously worked on xAI’s Colossus data centre project and Meta data centres, is now COO.

Sinclair Schuller will start as CTO in July, with Rakesh Malhotra joining as chief product officer the same month. Schuller and Malhotra previously worked together at enterprise cloud platform Apprenda and later co-founded a separate software engineering firm.

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