ReLearn at CVPR 2026: can AI still learn from humans?
AI has advanced fast by scaling models, data, and compute. As foundation models get more capable, an old question is coming back...
Published on by Jianwen Xie
AI has advanced fast by scaling models, data, and compute. As foundation models get more capable, an old question is coming back...
Published on by Jianwen Xie
Generative AI has made remarkable progress in creating increasingly realistic representations of the world. Image models can synthesize photorealistic scenes, ...
Published on by Jianwen Xie
What is spatial reasoning? AI is moving beyond the digital world. The next generation of AI systems needs to understand and interact with physical ...
Published on by Jianwen Xie
Why molecular dynamics matters for drug discovery Molecular dynamics (MD) is an important tool in modern drug discovery. While structure prediction and ...
Published on by Jianwen Xie
Why evaluating image editing models is both critical and challenging Instruction-based image editing is becoming a core capability of multimodal foundation ...
Published on by Jianwen Xie
A deep research agent has to do more than answer a question. It plans, searches, opens documents, gathers evidence, reasons across sources, and keeps going ...
Published on by Jianwen Xie
Giving robots better 3D perception Robots are becoming increasingly capable of learning manipulation skills directly from images. Most robot policies still ...
Published on by Jianwen Xie
Peer review is buckling A scientist lives two lives. In one, they produce research. In the other, they judge everyone else's. That second job, peer review, is ...
Published on by Jianwen Xie
For two years, the field has gotten very good at training models, and it still hand-wires the agents around them. Whether an agent plans, searches, calls a ...
Published on by Jianwen Xie
Point a camera at a room. Get back a complete, editable 3D model of everything in it: the sofa, the table, the chairs, each one a clean mesh you can rotate, ...