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

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

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

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

Abstract: In nonlinear system identification, Volterra kernel estimation based on regularized least squares can be performed by taking a Bayesian approach. In this framework, covariance structures ...

Abstract: Unification of classification and regression is a major challenge in machine learning and has attracted increasing attentions from researchers. In this article, we present a new idea for ...

As AI models move from design to production, mining engineers face a double-faceted challenge: delivering real-time performance on embedded devices with ...

Un-0 is an image-generation model built on Kuramoto dynamics: it generates an image by integrating the phase dynamics of a population of coupled oscillators — no diffusion schedule, no adversary, no ...

Free tools have lowered the cost of marketing mix modeling, but data quality and human expertise remain the biggest barriers ...

The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...