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Google DeepMind's AI co-scientist now plans experiments, operates lab equipment, and writes scientific papers, marking a major step toward AI-driven scientific discovery.
A new study challenges claims by Anthropic and OpenAI that AI can independently conduct research, finding that while AI can execute tasks, it lacks critical judgment and creativity.
Learn to build an AI-powered scientific discovery tool using Python and machine learning libraries. This tutorial demonstrates data processing, model training, and prediction techniques used by top AI researchers.
Two research teams independently solved the same quantum cryptography problem using OpenAI's GPT-5.6, just hours apart, raising questions about the nature of scientific discovery in the AI era.
Learn how to build and experiment with simple world models using Python and TensorFlow, understanding the foundational concepts behind AI systems that could contribute to scientific breakthroughs.
OpenAI is providing 100,000 academic researchers with free access to its most advanced AI models to accelerate scientific research and collaboration. The initiative aims to transform research processes by offering powerful AI tools to the academic community.
OpenAI's GPT-5.6 Sol Pro reportedly disproved a 30-year-old statistics conjecture in just 90 minutes, a feat that stumped human researchers for decades.
Turing Award winner Richard Sutton argues that pure generative AI cannot achieve real scientific discovery due to its inability to evaluate its own outputs.
London-based Inherent AI, founded by former DeepMind researchers, has raised $50 million to develop AI that helps identify the most impactful scientific questions.
