Google's TabFM skips per-dataset training and still predicts on tables it's never seen

Google's TabFM skips per-dataset training and still predicts on unseen tables, matching tuned baselines and cutting pipeline ...
Tech Xplore

Easier parameter tuning for prediction using echo state networks

Neural networks, a fascinating technology inspired by the human brain, form the basis of artificial intelligence. These ...
JD Supra

China’s Revised Patent Examination Guidelines for AI: Six Practice Tips for Drafters

Effective January 1, 2026, CNIPA’s revised Patent Examination Guidelines add AI-specific examination rules in three layers: an ethics and ...

Protein design revolutionized: how AI is opening new doors for scientists worldwide

Bridging the technical divide in biological engineering Co-founders Tristan Bepler and Tim Lu developed the platform to ...
GitHub

FlowWM stochastic world modeling via flow matching in DINOv3 feature space, with the FuturePerception (Waymo) benchmark.

FlowWM stochastic world modeling via flow matching in DINOv3 feature space, with the FuturePerception (Waymo) benchmark. - ...

Why marketing mix modeling is still hard to get right

Open-source tools have made MMM more accessible, but reliable results still depend on clean data, thoughtful modeling, and ...
IEEE

Aligning Text-to-Image Diffusion Models With Noise-Conditioned Perception

Abstract: Human preference optimization, originally developed for Language Models, has shown promise in improving text-to-image Diffusion Models by enhancing prompt alignment, visual appeal, and user ...