Laude Moonshots support computer science researchers taking big, urgent swings in AI

Strengthening nucleic acid biosecurity screening against generative protein design tools — improving hazard detection in the age of AI-assisted protein engineering.

YouTube video by Computer History Museum

Small models get better, regulation moves to the states, and more.

On February 18, the Center for Human-Computer Interaction + Design hosted a thought leader panel to discuss the National Academies of Sciences’s

Seq2Symm is a sequence-based AI model designed to predict the symmetry of protein structures composed of identical chains, known as homo-oligomers. It surpasses existing methods in accuracy and effici...

How the U.S. can unlock the promise of AI while balancing innovation and responsibility

Performance of large language models (LLMs) on medical tasks has traditionally been evaluated using multiple choice question benchmarks. However, such benchmarks are highly constrained, saturated with...

Advances in AI and omics enable the creation of AI virtual cells (AIVCs)—multi-scale, multimodal neural network models that simulate molecules, cells, and tissues across diverse states. This vision outlines their design and collaborative development, promising to transform biological research through high-fidelity simulations, accelerating discoveries, and fostering interdisciplinary open science collaborations.

Fast-moving advances in AI-assisted protein engineering are enabling breakthroughs in the life sciences that promise numerous beneficial applications. At the same time, these new capabilities are crea...

Explore key challenges in human-agent communication with generative AI and autonomous agents. Learn about transparency, control, and challenges for improving human-AI interaction.