Read about AI research breakthroughs, development insights, and practical applications. Learn how companies build AI apps, integrate Claude technology, and solve real problems with artificial intelligence. Get updates on the latest trends reshaping how we work with AI tools and understand their impact on business and technology.
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.
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.
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."
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.
