Archives des National Science Foundation (NSF)

With AI, researchers predict the location of virtually any protein within a human cell
6 Juin
New model predicts a chemical reaction’s point of no return
6 Juin
“Periodic table of machine learning” could fuel AI discovery
6 Juin
Training LLMs to self-detoxify their language
6 Juin
Could LLMs help design our next medicines and materials?
6 Juin
AI tool generates high-quality images faster than state-of-the-art approaches
6 Juin
Validation technique could help scientists make more accurate forecasts
6 Juin
User-friendly system can help developers build more efficient simulations and AI models
6 Juin
Toward video generative models of the molecular world
6 Juin
MIT researchers introduce Boltz-1, a fully open-source model for predicting biomolecular structures
6 Juin
Researchers reduce bias in AI models while preserving or improving accuracy
6 Juin
A new way to create realistic 3D shapes using generative AI
6 Juin
Photonic processor could enable ultrafast AI computations with extreme energy efficiency
6 Juin
MIT researchers develop an efficient way to train more reliable AI agents
6 Juin
Despite its impressive output, generative AI doesn’t have a coherent understanding of the world
6 Juin
Enhancing LLM collaboration for smarter, more efficient solutions
6 Juin
Helping robots practice skills independently to adapt to unfamiliar environments
6 Juin
MIT researchers advance automated interpretability in AI models
6 Juin
Reasoning skills of large language models are often overestimated
6 Juin
A smarter way to streamline drug discovery
6 Juin
A technique for more effective multipurpose robots
6 Juin

With AI, researchers predict the location of virtually any protein within a human cell

New model predicts a chemical reaction’s point of no return

“Periodic table of machine learning” could fuel AI discovery

Training LLMs to self-detoxify their language

Could LLMs help design our next medicines and materials?

AI tool generates high-quality images faster than state-of-the-art approaches

Validation technique could help scientists make more accurate forecasts

User-friendly system can help developers build more efficient simulations and AI models

Toward video generative models of the molecular world

MIT researchers introduce Boltz-1, a fully open-source model for predicting biomolecular structures

Researchers reduce bias in AI models while preserving or improving accuracy

A new way to create realistic 3D shapes using generative AI

Photonic processor could enable ultrafast AI computations with extreme energy efficiency

MIT researchers develop an efficient way to train more reliable AI agents

Despite its impressive output, generative AI doesn’t have a coherent understanding of the world

Enhancing LLM collaboration for smarter, more efficient solutions

Helping robots practice skills independently to adapt to unfamiliar environments

MIT researchers advance automated interpretability in AI models

Reasoning skills of large language models are often overestimated

A smarter way to streamline drug discovery

A technique for more effective multipurpose robots