Scientists found a surprising way to make exercise work better
Advice about staying healthy often centers on regular exercise and limiting fatty…
AI has no idea what it’s doing, but it’s threatening us all
The age of artificial intelligence (AI) has transformed our interactions, but threatens…
Ulysses Sequence Parallelism: Training with Million-Token Contexts
Training large language models on long sequences has become essential for building…
CUDA 13.2 Introduces Enhanced CUDA Tile Support and New Python Features
CUDA 13.2 arrives with a major update: NVIDIA CUDA Tile is now…
Andrew Ng’s Team Releases Context Hub: An Open Source Tool that Gives Your Coding Agent the Up-to-Date API Documentation It Needs
In the fast-moving world of agentic workflows, the most powerful AI model…
I Stole a Wall Street Trick to Solve a Google Trends Data Problem
is a god-send for market research. If you want to understand interest…
When AI Levels the Playing Field: Skill Homogenization, Asset Concentration, and Two Regimes of Inequality
arXiv:2603.05565v1 Announce Type: new Abstract: Generative AI compresses within-task skill differences while…
The World Won't Stay Still: Programmable Evolution for Agent Benchmarks
arXiv:2603.05910v1 Announce Type: new Abstract: LLM-powered agents fulfill user requests by interacting…
M $$\vphantom{0}^2$$ DGAT: Multi-view multi-scale dynamic graph attention network(GAT) based prediction of Parkinson’s disease(PD) progression using whole-blood RNA sequencing data
Makarious, M. B. et al. Multi-modality machine learning predicting Parkinson’s disease. npj…
This new 3D chip could break AI’s biggest bottleneck
Engineers from Stanford University, Carnegie Mellon University, University of Pennsylvania, and the…