Nvidia invests $5B in struggling Intel for joint chip development—a power reversal that would've seemed impossible three years ago. Intel gets cash and validation; Nvidia gets x86 access without foundry risk. AMD faces pressure on two fronts.
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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.
Researchers have discovered something surprising about artificial intelligence: bigger isn't always better. A new study reveals that oversized language models can actually get worse at reasoning tasks, challenging the common belief that scaling up AI leads to better performance.
