Research Articles
AI and the Microbiome: How a Simple Blood Test is Revolutionizing Cancer Detection
Exploring how AI-driven liquid biopsies and microbiome analysis are transforming early cancer detection through multi-omics integration.
Beyond the Crystal Ball: Teaching AI to Know What It Doesn't Know
Exploring how uncertainty quantification in machine learning is revolutionizing polymer property prediction and accelerating materials discovery.
The AI Revolution in Atomistic Materials Chemistry
Explore how foundation models are transforming atomistic materials chemistry, enabling unprecedented prediction of material behaviors and accelerating scientific discovery.
The AI Force Field: Building Better Protein Models in Seconds
Discover how the Inductive Transfer Learning Force Field protocol revolutionizes protein modeling by building accurate force fields in seconds instead of months.
Tailoring Friction: How AI is Designing Surfaces at the Molecular Level
Explore how diffusion models and AI are revolutionizing surface engineering by designing molecular-level structures with tailored frictional properties.
AI Meets Exascale Computing: Advancing Cancer Research With Large-Scale High Performance Computing
Explore how AI and exascale computing are revolutionizing cancer research through drug discovery, diagnostics, and personalized treatments.
Beyond the Beach: Inside the Bellairs Workshops Where AI Grapples with Time and Causality
In an idyllic Caribbean setting, top computer scientists are rethinking how intelligent systems truly understand the world.
The Mind-Boggling Machine: How AI is Decoding the Brain's Ultimate Secrets
Explore how artificial intelligence is revolutionizing neuroscience and systems biology by decoding the brain's complexity, treating diseases like Alzheimer's, and understanding life's fundamental code.
Seeing the Unseeable: How AI Predicts the Secret Stresses Inside Materials
Discover how CycleGAN AI is revolutionizing materials science by predicting atomic stress fields from sparse, incomplete data, enabling the design of stronger and more efficient materials.