Anthropic's analysis of 500,000 coding conversations reveals startups use AI coding tools 20% more than enterprise companies, pointing to a growing tech divide.
Even the most advanced AI models stumble when faced with basic physics problems. A new benchmark called PHYBench reveals these supposedly intelligent systems solve physics problems about as well as a struggling high school student.
AI models just got smarter at teaching themselves. A breakthrough method called Test-Time Reinforcement Learning (TTRL) lets AI improve its skills without human guidance, marking a shift in how machines learn.
Social media connects teens but may break their spirit. A new Pew Research survey reveals 48% of U.S. teens believe social media harms their generation – a sharp rise from 32% in 2022.
ChatGPT has developed a problem. It can't stop complimenting you. Users discovered the change in late March. OpenAI's chatbot now gushes over every question, no matter how mundane. Ask it about boiling pasta, and it might respond, "What an incredibly thoughtful culinary inquiry!"
A new artificial intelligence system from China's Shandong First Medical University helps scientists understand how genes turn on and off. Called TRAPT, it maps gene control with record-breaking accuracy.
The White House's new science chief wants to overhaul U.S. research funding. In an interview with Bloomberg News, Michael Kratsios laid out his vision for smarter spending on technology research despite sweeping budget cuts.
InternVL3, a new open-source AI model, matches or beats proprietary giants like GPT-4 and Gemini in understanding images and video. Its key breakthrough lies in how it learns to process visual information alongside language from the start, rather than adding these capabilities later.
Stanford and Google DeepMind researchers built an AI system that can analyze millions of street photos to track how cities change over time. The system found striking patterns.
Even the most advanced AI visual systems have a serious problem: They try to answer questions they can't actually solve. A new study from the University of Tokyo and their collaborators tested leading AI models on what seems like a simple task - knowing when to say "I can't answer that."
A Georgia Tech study shows AI language models frequently generate harmful content about people with mental health conditions, even without prompting. The research team analyzed thousands of AI responses to track how these systems can worsen social stigmas.
Researchers from ETH Zurich and Nanjing University have created DeepProtein, a new deep learning library that makes complex protein analysis as simple as ordering takeout.
