AI unlocks worlds: RAVEN, a machine-learning system, analyzed NASA’s TESS data and validated 118 exoplanets, 31 of them brand ...
Abstract: Tuning Model Predictive Control (MPC) cost weights for multiple, competing objectives is labor-intensive. Derivative-free automated methods, such as Bayesian Optimization, reduce manual ...
Researchers use statistical physics and "toy models" to explain how neural networks avoid overfitting and stabilize learning in high-dimensional spaces.
Google plans an AlphaEvolve rollout through Google Cloud after showing gains in TPU design, Spanner efficiency, genomics, ...
Abstract: A DW is needed to efficiently and continuously prepare data for practical real-time data analysis and forecasting with machine learning (ML) algorithms. This paper discusses extraction, ...
This article is about a real event. It is not satire, parody, or metaphor. In late April 2026, OpenAI publicly explained why ...
Computational modelling, machine learning, and broader artificial (AI) intelligence approaches are now key approaches used to understanding and predicting ...