AI News

Verified neural Lyapunov function for a two-machine power system. Credit: Automatica (2025). DOI: 10.1016/j.automatica.2025.112193 As artificial intelligence (AI) takes on increasingly critical roles—from managing power grids to piloting autonomous vehicles—making sure these systems are safe has never been more important. But how can we be certain that the AI controlling them can be trusted? A research team at the University of Waterloo is addressing this

Datasets used to train AI algorithms may underrepresent older people. Credit: Pixabay/CC0 Public Domain A new study has found that artificial intelligence (AI) can now spot signs of depression in online writing, and can do so with high accuracy. The study, which was published in Corpus-Based Studies Across Humanities, found that models from machine learning (ML), a form of AI, could spot depression in posts on Reddit with 96% accuracy. The researchers say

Credit: Matt Curnock A new study led by the Wildlife Conservation Society (WCS) finds that artificial intelligence (AI) models are providing more accurate and more hopeful predictions for the future of coral reefs amid climate change. Findings show that while many reefs face serious risks and degradation, others may remain stable or even recover, especially where local management reduces pressures like overfishing, water pollution, and coastal degradation.

1. Argentum AIBuilding a liquid marketplace for computing is harder than it sounds, yet Argentum AI has tackled this challenge successfully by treating GPU resources the way financial markets treat stocks. That is, as tradable commodities with transparent pricing and real-time settlement.The platform operates as an independent, decentralised marketplace where enterprises can post computing tasks and providers bid to execute them. However, what truly sets t

Open-source document database platform RavenDB has launched what it calls “the first fully integrated database-native AI Agent Creator,” a tool that makes it easier for enterprises to build and deploy AI agents.The platform tackles a common problem in enterprise AI – the difficulty of connecting models to a company’s own data systems and workflows securely and cost-effectively.Making AI practical, not just powerfulThe company wants to make AI deployment fa

The problem with manual DASTTraditionally, DAST scans were performed late in the development cycle, often by a separate security team. This approach is no longer sustainable for fast-growing tech companies. Manual DAST introduces several significant challenges:Slow feedback loops: When scans are run manually, developers may not receive feedback on vulnerabilities for days or even weeks. By then, the code has moved on, making fixes more complex and costly t

The invisible risk inside company systemsShapira said most corporate security systems were designed for an older world where everything stayed behind firewalls and network borders. Shadow AI breaks that model because it works from the inside, hidden in the company’s own tools.Many modern AI tools connect straight into everyday SaaS platforms like Salesforce, Slack, or Google Workspace. While that is not a risk in itself, AI often does this through permissi

Big consequencesWhen traditional video security systems layer AI on older infrastructure, false alerts and performance issues arise. Alerts and missed detections are not just technical hiccups, but risks that can have devastating consequences. Shou points to a recent case where a school surveillance system, which used an AI add-on for gun detection, misidentified a harmless object for a weapon, setting off an unnecessary police response.“Every mistake, whe

The enterprise communication blind spotFor years, corporate communications were treated as either static records – emails stored in archives – or ephemeral exchanges that disappeared after use. The rise of AI has changed that. Tools like Microsoft’s Copilot and Zoom’s AI Companion now interpret tone, context, and intent in real-time, turning chat history into searchable knowledge. But for many companies, that same intelligence is emerging in silos, without

Performance metrics challenge US modelsAccording to the company’s GitHub blog post, Kimi K2 Thinking scored 44.9% on Humanity’s Last Exam, a large language model benchmark consisting of 2,500 questions across a broad range of subjects, exceeding GPT-5’s 41.7%.The model also achieved 60.2% on the BrowseComp benchmark, which evaluates web browsing proficiency and information-seeking persistence of large language model agents, and scored 56.3% to lead in the

Getty / Futurism AI agents can often act more like double agents, sabotaging a company from the inside. Have the legions of tech-brained big wigs heeded this lesson? Of course not. On Friday, Jer Crane, the founder of the SaaS startup PocketOS, claimed that its Claude-powered Cursor coding agent screwed up so badly that it completely wiped out the company’s database in a matter of seconds. Taking no prisoners, it also vanquished all the database’s recent b

Getty / Futurism Did ChatGPT just solve an arcane math problem that’s foiled mathematicians for over sixty years? Some leading experts say yes, Scientific American reports. Earlier this month, 23-year-old Liam Price shared a solution to one of the so-called Erdős problems, a series of famously abstruse math conjectures left behind by the Hungarian mathematician Paul Erdős. While some of these conjectures have gotten the better of savants in the field, Pric

Getty / Futurism A planned AI-focused high school is being put on ice after widespread backlash, The New York Times reports. Originally set to open in Manhattan at the start of the next academic year, the New York City schools chancellor Kamar Samuels said he was withdrawing the proposal for the Next Generation Technology High School, which was scheduled for a vote on Wednesday, along with proposals for several other schools that were also met with critici

Getty / Futurism Tired of your AI chatbot’s constantly-glazing therapy-speak? You could instead try striking up a conversation with “Talkie,” an old-timey AI model which is trained purely on books, newspapers, and other text sources from before the year 1930. With its thirteen billion parameters, the researchers behind Talkie say it’s the largest “vintage” model they’re aware of, capable of holding down a conversation as if truly stuck in a past when movie

Getty / Futurism If you decided to blow off a Zoom meeting by sending an AI dummy instead, you might find yourself out of a job. But when a head honcho does it, it’s a masterfully executed stunt, a sign of a business genius who’s got his finger on the pulse. Take Sam Sidhu, the CEO of Customers Bank. During a conference call discussing the company’s latest earnings reports, he waited nearly an hour before revealing that it was actually an AI that had been

Getty / Futurism With questions swirling about whether hundreds of AI startups will ever translate the tech into real-world economic returns, new players in the space are scrambling to justify all the hype. One of the particularly baffling ways they’re doing that is by renting attractive, grown-up office spaces in Manhattan — even if their business really only exists on a couple of MacBooks. Speaking to the Wall Street Journal about the bizarre AI real est