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Credit: Pixabay/CC0 Public Domain Ad blockers, the digital shields that nearly one billion internet users deploy to protect themselves from intrusive advertising, may be inadvertently exposing their users to more problematic content, according to a new study from NYU Tandon School of Engineering. The study, which analyzed over 1,200 advertisements across the United States and Germany, found that users of Adblock Plus's "Acceptable Ads" feature encountered

Credit: Pixabay/CC0 Public Domain In a study published in the journal Information Systems Research, Texas Tech University's Shuo Yu and his collaborators developed a generative machine learning model to detect instability before a fall occurs. The hope is that the model could work within fall detection devices, such as anti-fall airbag vests or medical alert systems, to minimize injuries, increase emergency response effectiveness and lower medical costs. "

Researchers Tim Jeffers (left) and Amari Hill (right) studying corn growing in the NYU Irene Rose Sohn Zegar Memorial Greenhouse. Credit: Tracey Friedman/NYU New York University scientists are using artificial intelligence to determine which genes collectively govern nitrogen use efficiency in plants such as corn, with the goal of helping farmers improve their crop yields and minimize the cost of nitrogen fertilizers. "By identifying genes-of-importance to

Image from the study demonstrating how machine learning tools can enhance image and mapping analysis with Mars surface images. Credit: Annex (2025) How can artificial intelligence (AI) be used to advance mapping and imaging methods on other planets? This is what a study presented at the 56th Lunar and Planetary Science Conference hopes to address as a lone researcher investigated using machine learning models to enhance mapping and imaging capabilities fro

Key challenges (red background) and potential solutions (green background) for fast-charging LSBs. Credit: Advanced Energy Materials (2025). DOI: 10.1002/aenm.202404383 Grab a coffee and your car is fully charged—this is how many people envision the future of mobility. But today's batteries still fall short of this ideal. While modern lithium–ion batteries can charge from 20% to 80% in about 20 to 30 minutes, a full charge takes considerably longer—and fas

MASNS-implemented robot arm having habituation and sensitization characteristics. Credit: Nature Communications (2025). DOI: 10.1038/s41467-025-60818-x In the midst of the co-development of artificial intelligence and robotic advancements, developing technologies that enable robots to efficiently perceive and respond to their surroundings like humans has become a crucial task. In this context, Korean researchers are gaining attention for newly implementing

Credit: Pixabay/CC0 Public Domain Imagine a future where artificial intelligence quietly shoulders the drudgery of software development: refactoring tangled code, migrating legacy systems, and hunting down race conditions, so that human engineers can devote themselves to architecture, design, and the genuinely novel problems still beyond a machine's reach. Recent advances appear to have nudged that future tantalizingly close, but a new paper by researchers

An example of mapping urban sentiment hotspots as visualized through an AI-drive framework. Credit: Jayedi Aman When Jayedi Aman looks at a city, he notices more than just its buildings and streets—he considers how people move through and connect with those spaces. Aman, an assistant professor of architectural studies at the University of Missouri, suggests that the future design of cities may be guided as much by human experience as by physical materials.

Credit: Pixabay/CC0 Public Domain Proteins catalyze life by changing shape when they interact with other molecules. The result is a muscle twitching, the perception of light, or a bit of energy extracted from food. But this crucial ability has eluded the growing field of AI-augmented protein engineering. Now, researchers at UCSF have shown it is possible to make new proteins that move and change shape like those in nature. This ability will help scientists

A24 has apparently decided that just distributing the film Ex Machina isn’t enough—it needs to make it real. The film production and distribution darling has entered an agreement with Google that will see the tech giant pour $75 million into the studio as part of what is being positioned as an artificial intelligence research partnership. What does that mean? It seems, per Google’s press release, that A24 will gain access to Google DeepMind’s lab and the b

Anthropic’s Claude Fable 5 AI model was released to the public on June 9 and taken down on June 12. By my math, it was available for a little over three days. Anthropic took down Fable 5 voluntarily in a manner of speaking, but by all accounts it was complying with an export control directive from the U.S. government under threat of penalties. Now a startup called Legion says in a new lawsuit against the government that Claude Fable 5 was so critical to it

In just a year, AI psychosis became a term the internet is all too familiar with. Though some have contested the science behind it, various reports of psychotic breaks and, at times, fatal delusions linked to intense reliance on AI have flooded timelines. Some scientists now have a hypothesis on how chatbots could be directly responsible for these incidents. In a new study published in the Nature journal Digital Psychiatry and Neuroscience, researchers in

Credit: Unsplash/CC0 Public Domain A study of Chile's workforce finds that AI could "accelerate" nearly half of the tasks performed by the country's 100 most common jobs. Generative AI has been pitched as a great leveler—a way to increase productivity, slash red tape and busy work, and narrow skills gaps. A new study by Gabriel Weintraub, a professor of operations, information, and technology at Stanford Graduate School of Business, quantifies the potentia

Differences in processes with and without hardware accelerators. Credit: Electronics (2024). DOI: 10.3390/electronics13234683 Large language models (LLMs) like BERT and GPT are driving major advances in artificial intelligence, but their size and complexity typically require powerful servers and cloud infrastructure. Running these models directly on devices—without relying on external computation—has remained a difficult technical challenge. A research tea

Google parent company Alphabet's cloud computing business is on pace to bring in $50 billion over the course of 2025, according to the tech giant. Google-parent Alphabet on Wednesday reported quarterly profits that topped expectations, saying artificial intelligence has boosted every part of its business. Alphabet's second-quarter profit of $28.2 billion—on $96.4 billion in revenue—came with word that the tech giant will spend $10 billion more than it prev

Unique electric polarization of switchable BO4 tetrahedra in brownmillerite ABO2.5 a, Brownmillerite structure with alternating BO4 tetrahedral (Tet.) and BO6 octahedral (Oct.) layers viewed along the zone axis of [101]O. A site, B site and O ions are represented by white, dark gray and yellow spheres, respectively. Red and blue BO4 tetrahedra correspond to down- and up-polarized layers, respectively. Gray BO6 octahedra show centrosymmetric non-polar layer

Meta locks itself out of user data on its AI glasses Meta is expanding Private Processing to its AI glasses, extending their security protections into cloud data centers. The system runs AI models inside confidential virtual machines (CVMs) designed to prevent Meta from accessing users’ data. Private Processing combines protected hardware, encryption and software verification to secure data during cloud processing and storage. How Private Processing suppor

“Drunk” AI is terrible at keeping secrets AI models taught to write like drunk people became easier to jailbreak and more likely to leak secrets shared in confidence. That is the finding of UNSW Sydney researchers Anudeex Shetty, Aditya Joshi and Salil Kanhere, published in their paper “In Vino Veritas and Vulnerabilities.” “The key research question from the natural language processing (NLP) side for me was, how do we get LLMs drunk?” said Aditya Joshi, a

16-year-old researcher breaks into Microsoft analytics service with access to 17 trillion rows of data A flaw in Titan, an internal Microsoft analytics service, could have let an attacker read employee records and Bing search analytics, a 16-year-old security researcher has disclosed. The researcher, who goes by Faav, found that Titan did not verify the signature on login tokens. That let him pose as the service’s administrator and run SQL queries against