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Nobel-winning chemist Omar Yaghi is leaving UC Berkeley for China's Tsinghua University, where he will lead a new AI institute focused on accelerating the discovery of advanced materials. "Last week, Tsinghua University in Beijing welcomed Dr. Yaghi in an appointment ceremony, calling him one of the world's foremost chemists," reports The New York Times. "The university said he saw his new post as an opportunity 'not to slow down, not to repeat what has already been done, but to do science with more energy, more intensity, and more ambition than ever before.'" From the report: Dr. Yaghi was born in Amman, Jordan, to Palestinian refugees whose one-room home lacked electricity and running water. Early on, he became fascinated with a schoolbook's depiction of atomic building blocks. When he was 15, his father, a butcher, sent him to the United States. Last year, before flying to Stockholm to receive his Nobel Prize, Dr. Yaghi in an interview with The New York Times voiced concern about Mr. Trump's immigration policies, saying that they endanger the nation's system of universities, companies and governments that promote scientific excellence. "I think it's regrettable," he said of Mr. Trump's nationalism. "We have to know that people coming from different backgrounds improve the level for everybody involved," he added. "That's an amazing story. Great thinkers can improve not only the U.S. but the world." Dr. Yaghi joined the University of California, Berkeley, in 2012, and while there earned many awards for his scientific advances. He received his Nobel Prize for helping discover a world of chemistry in which molecular building blocks are assembled into structures that possess vast internal surface areas -- the largest of any known substance. His porous structures can act like sponges that readily absorb, store and release gases and vapors. He named them metal-organic frameworks. The metal atoms form an adjustable framework that can hold chemicals associated with life -- carbon atoms in particular. While deeply theoretical, the frameworks are so radical, innovative and flexible in nature that materials experts and companies foresee many commercial uses for them. The frameworks can, for instance, harvest water from desert air. In 2018, Dr. Yaghi's students at Berkeley tested the idea in the Mojave Desert in California, finding that a small passive harvester could each day produce nearly three cups of pure, drinkable water. The device is now nearing commercialization. In the interview with The Times, Dr. Yaghi credited the invention to his boyhood efforts to secure water for his family. The municipal pipes worked for only a few hours every week or two. That hardship, he added, shows how the diverse experiences of emigres can lead to unexpected breakthroughs. Dr. Yaghi has longstanding ties with Tsinghua University. In 2022, the Beijing school appointed him as an honorary professor and in that role he closely followed its work in chemistry, materials science and related disciplines. Now, on joining Tsinghua full time, Dr. Yaghi is being named as the head of a new A.I. institute for science research that will focus on the design and synthesis of new materials. Its underlying aim, the university said, is to "overcome the efficiency bottlenecks of traditional trial-and-error approaches" and shorten the usual cycles of discovery.

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An anonymous reader quotes a report from Ars Technica: Humanoid robots have surgically removed the gallbladders from living animals in an unprecedented medical experiment -- but not as autonomous machines capable of replacing human doctors. Instead, skilled human surgeons remotely controlled the robots' movements in a new example of human-robot teamups. The teleoperated humanoid robots completed two minimally invasive surgeries by removing gallbladders from live pigs during a preclinical trial that was published in the journal Nature. If this approach eventually proves clinically ready for human patients, surgeons could use such humanoid robots to remotely perform robotic-assisted surgical care in smaller hospitals and clinics that lack the resources to install specialized but expensive surgical robots. The experiment used a Unitree G1 humanoid robot made by leading Chinese robotics company Unitree. The cheapest baseline G1 model with effectively non-functional hands has a starting price of $13,500 and shipping costs ranging between $300 and $1,200, whereas adding crucial upgrades such as dexterous robotic hands can easily push the cost beyond $67,000. But such humanoid robots made in China are still significantly cheaper than specialized surgical robots like Intuitive Surgical's da Vinci Surgical System, which can cost anywhere between half a million dollars and several million dollars. The specialized surgical robots can also weigh about 1,800 pounds and take up considerably more space in operating rooms. By comparison, the Unitree humanoid robots, standing at 5 feet tall and weighing just 60 pounds, may be more suitable for smaller clinical settings in remote areas.

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The ASA says adverts claiming small devices can rapidly cool rooms were too good to be true.

A lawsuit demands that the Port of Rotterdam moves faster to cut its dependence on fossil fuel firms.

U.S. lawmakers are probing the growing use of Chinese AI models by American companies, citing concerns over censorship, security risks, and whether U.S. firms are turning to cheaper foreign models because domestic alternatives are too costly or restricted. The investigation is specifically looking at companies such as Cursor and Airbnb. "The growing use of Chinese AI models by U.S. companies raises serious concerns," a State Department spokesperson told CNBC. Those "AI models are designed to advance Beijing's narratives, censor dissent, and reflect CCP ideology and values." CNBC reports: The House Committee on Homeland Security and the House Select Committee on China said in April they will jointly investigate the growing adoption of Chinese-developed AI models. An initial step in the probe was for the chairmen of those committees to send letters to Cursor and Airbnb, over their "use of or exposure to these risks" through AI developed in China. "The Chinese Communist Party is no longer just nipping at our heels in artificial intelligence; it is racing to close the gap in some of the exact capabilities that will shape the future of cybersecurity," Andrew Garbarino, chairman of the U.S. House Committee on Homeland Security, told CNBC. "Recent reporting that a Chinese open-weight model can match leading U.S. models in certain vulnerability discovery and cybersecurity tasks is highly alarming," said Garbarino. While some government departments have banned the usage of Chinese AI models including DeepSeek, adoption of them by U.S. companies is not prohibited. Tech chiefs, including crypto company Coinbase's Brian Armstrong and AI startup Lindy's Flo Crivello, have been publicly touting the use of models from China to reduce costs. Cursor, which will be acquired by Elon Musk's SpaceX for $60 billion, built its Composer 2 model using Chinese AI model Kimi, which was developed by Moonshot AI. Alongside focusing on the rise of Chinese AI models, the ongoing joint House Committees' investigation is also looking into whether the U.S. is doing enough to tackle their rise. "The Committees are also examining whether the United States has a sufficient open-weight AI strategy to ensure American companies and cyber defenders are not forced to choose between expensive or restricted U.S. models and cheap, capable PRC-developed alternatives," a Committee aide, who asked not to be named as they were not authorized to discuss the ongoing probe, told CNBC. [...] The administration could consider the use of federal procurement bans, which would include restricting government agencies and private companies that serve the U.S. government from using Chinese AI models, Kyle Chan, fellow in the John L. Thornton China Center at think tank Brookings, told CNBC. "However, it's ultimately impossible to ban China's open-source AI models because their model weights are available freely on the internet," Chan added. "This could enter into first amendment speech issues." [...] Another [approach] could be disseminating findings about risks and vulnerabilities associated with Chinese AI models to U.S. companies. "Regardless, I do expect both the Executive Branch and Congress to communicate their interest not to see U.S. companies adopting these models," [said Daniel Remler, senior fellow, technology and national security program at think tank the Center for a New American Security (CNAS), told CNBC].

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Google says the World Cup drove Search to its highest usage in history, with queries per second peaking right after Argentina's winning goal against Egypt. CNBC reports: The milestone comes as the company tries to prove its traditional search engine can keep its relevance in the age of AI, where chatbots have become more prevalent. Google still controls 90% of the search market, its stock price has more than doubled in the past year and revenue growth in the first quarter was the fastest for any period since 2022. Google said its top searched query after the game was "argentina vs egypt." Globally, the company also saw people searching for things like "argentina x colombia" and "how many world cup goals does messi have." Additional queries included "what is it called when a player hits another player in game" and "is it messi's last world cup."

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Companies want their workers to have AI skills. Recruiters say there's not a lot of shared definitions for that term.

An anonymous reader quotes a report from 404 Media: Meta has filed a patent for a system that records your voice and surroundings all day, then uses an AI to analyse your mood. The patent's stated, theoretical goal is for Meta, a company that makes billions of dollars targeting ads at its users based on their data, is to sell users a wearable that tailors workouts for them based on whether they're happy or sad. Patentlyze first noticed the patent which was published on July 2 after Meta filed it back in December of 2025. The filing described an "apparatus" that surveilled a user and their surroundings constantly to craft a better workout. "The audible communications may be associated with contextual factors such as time of day, location, user activity, or digital interaction," the patent said. "The audible communications may be transcribed, and an emotional-state machine learning model may interpret verbal and nonverbal cues to determine emotional indicators." According to the filing, Meta needs to know when a user laughs or sighs, where they are physically, and what objects they're surrounded by. It would even like to know when you've taken your meds. "The AI assistant may listen to a user(s) at predefined times to hear various types of communication, such as sighs, laughter, and/or the tone(s) of a voice(s)," the patent said. "The AI assistant may use these inputs to quantify the user's emotional state or generate other insights about the user [...] in another example, the AI assistant may take multiple inputs in in addition to audio inputs (e.g., of a user's voice) to provide a summary of emotional trends based on various inputs (e.g., a happier emotional state associated with a particular time of day or at a time when medication is taken, etc.)." The more data it has, the patent explains, the better it could understand a user's moods. "The system increases the precision and reliability of emotional inference by aligning multimodal sensor inputs on synchronized timelines, which creates a novel data structure that supports richer emotional analysis," it said. "These combined features deliver a technical improvement in automated audio interpretation, enabling continuous emotional monitoring on everyday devices." The emotional-analyzing AI would need far more than just a user's words to determine moods over time. A longer description of the hypothetical training data for the AI included "attributes of thousands of objects" such as a user's books, personal messages, and newspapers. "In some examples, audible communications may include speech (e.g., voice data), sighs, laughter, or other nonverbal sounds associated with an expression(s), an emotion(s), or ideas. In some examples, the audible communications may include the tone(s) of a voice of a user while making the communication(s)," it said. All this data, Meta says, would be in service of tailoring better workouts. Humans, the patent explained, are simply not as good as a machine for this. "Personal trainers cannot provide the level of precision in guidance, such as correcting a pose and/or body movement," it said. "These challenges create a need for a practical approach that uses a single device to observe movement, recommend routines, and provide corrective guidance." "Like other companies, patents at Meta are often filed to disclose concepts that may or may not be implemented, and a granted patent does not guarantee that Meta has pursued or will pursue the technology described," the company said in a statement.

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Pat Scally launched the Cumberland Avenue restaurant 10 years ago.

OpenAI has received approval from the Trump administration to publicly roll out GPT-5.6 after an earlier limited preview restricted access to government-approved organizations. The company also launched ChatGPT Work, a new GPT-5.6-powered agent that combines ChatGPT and Codex-style capabilities. "It can gather context from the apps, files, and workflows you choose and create finished materials such as documents, spreadsheets, presentations, and web apps," OpenAI wrote in a blog post, adding that a "unified plugins directory" allows ChatGPT to connect to tools like Slack, Gmail, Google Drive, calendars, and CRMs. The Verge reports: Mac and Windows users worldwide, including free ChatGPT users, should have immediate access to ChatGPT Work and GPT-5.6 via the ChatGPT desktop app. On mobile and the web, Pro, Enterprise, and Edu users will first get access, while Plus and Business users will receive access "over the next few days," OpenAI wrote, adding that the "rollout is starting globally and will continue gradually toward full availability over the next 24 hours." [...] OpenAI is hoping that its new product, which is a direct competitor to Anthropic's Claude Cowork (combining its own Claude and Claude Code), will push it ahead in the race. OpenAI is especially banking on Sol, the most powerful of the GPT-5.6 model suite, to set "a new standard for intelligence and efficiency," particularly when it comes to coding, cybersecurity, and science, as well as computer use capabilities. The company is also marketing the model as a lower-cost alternative to competitors' most powerful models, amid complaints of an industry-wide money squeeze and AI lab costs being passed onto customers.

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BrianFagioli writes: The Linux Foundation intends to launch the Open Health Stack Software Foundation, a new vendor-neutral home for the Google Open Health Stack project. Google is contributing the project code and assets while Google.org is providing a $3 million grant. The initiative is also backed by Microsoft, Anthropic, and the World Health Organization, with the goal of building open source, AI-ready digital health infrastructure. Will moving the project under Linux Foundation governance accelerate adoption, or is this simply another foundation that most developers will never interact with? The new project will focus on core HL7 FHIR technologies for healthcare interoperability, the Open Health Stack Player deployment toolkit, and AI Commons -- a model-agnostic healthcare AI initiative being co-developed with the World Health Organization. A notable part of the announcement is its planned Implementer Program, which aims to give startups, small businesses, and local developers in low- and middle-income countries a formal role in governance. In other words, the effort is not just about building healthcare software standards, but about making sure the people implementing them in underserved markets help shape the project too.

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The Engine was born to solve a problem: Supporting "tough tech" startups amid Silicon Valley's crazy for software. Ten years after making that risky bet, The Engine has earned a place in the origin story of countless successful Bay State technology companies. Now, a new phase is beginning for The Engine.

An anonymous reader quotes a report from The Guardian: The [San Francisco international airport] is hoping to build a brand-new terminal exclusively for passengers who pay a premium, gaining access to a luxurious airport experience complete with private security lines and valet service from terminal to tarmac. It will service commercial flights, not business or corporate jets, and the terminal will have its own Transportation Security Administration (TSA) lines as well as Customs and Border Protection (CBP) lines for international travel. SFO is seeking bidders to take on the development, construction and operation of the private terminal, which is planned for a 75,000-sq-ft site located across the runway from all current public terminals. The airport will accept proposals between late September and early October, and is looking to award a contract by early December with hopes of opening the terminal in late 2028. [...] If SFO is successful, it would become the next major American airport to open a luxury terminal. Los Angeles, Dallas Fort Worth, Miami and Hartsfield-Jackson Atlanta international airports all offer a private terminal through PS (formerly known as the Private Suite), a company owned by security firm Gavin de Becker and Associates. Multiple representatives from PS and Gavin de Becker and Associates attended a June conference hosted by SFO about the private terminal, and PS has said it hopes to open a private terminal at every major US airport by 2030. The report notes that access to existing PS private terminals "can cost passengers $1,295 for a one-time experience, or up to $4,850 for a yearly membership."

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