OpenAI funds $2M research push on AI and children's safety

Google DeepMind has released AlphaGenome 2, an AI model that predicts how DNA changes affect different cell types, advancing understanding of disease mechanisms at the cellular level. The model builds on last year's AlphaGenome by providing more detailed insights into gene expression patterns across diverse cell types. This capability could help researchers identify disease causes and develop targeted treatments.

Plurai is applying end-to-end learning techniques, the same approach used to train self-driving cars, to improve AI agent performance in unpredictable environments. The company frames AI agents as probabilistic systems that operate similarly to autonomous vehicles, suggesting that training methodologies proven effective for autonomous driving can enhance agent reliability and decision-making.

PSI, a startup focused on AI-driven scientific discovery, used an unreleased Anthropic model to solve a fundamental quantum computing question that researchers have pursued for nearly two decades. The achievement demonstrates the potential for large language models to accelerate scientific breakthroughs in specialized domains. The work signals both the capabilities of advanced AI systems and the emerging business model of applying them to hard scientific problems.

Specialty chemicals manufacturer Lubrizol is building a digital foundation that combines AI, cloud computing, and advanced modeling to accelerate R&D by giving researchers faster testing capabilities and better decision-making tools. The company is organizing cross-functional teams of scientists, data scientists, and IT staff to align around shared objectives, starting with small pilots. The approach emphasizes augmenting scientific judgment rather than replacing it, with particular potential for advancing sustainable materials development and navigating the complex trade-offs between laboratory promise and production-scale reality.