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

The ability to follow instructions is crucial for numerous real-world applications of language models. In pursuit of deeper insights and more powerful capabilities, we derive instruction-specific vect...

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.

Artificial Intelligence and the Future of Work

Large language models (LLMs) have demonstrated remarkable capabilities in natural language understanding and generation across various domains, including medicine. We present a comprehensive evaluatio...

Discover how the o1-preview model improves efficiency and performance in medical language tasks, integrating run-time reasoning to surpass traditional benchmarks.

BiomedParse is a foundation model for image analysis that uses a joint learning approach to jointly conduct segmentation, detection and recognition and offer state-of-the-art performance across a wide...