Keeping long-term climate simulations stable and accurate with a new AI approach

Hybrid climate modeling has emerged as an effective way to reduce the computational costs associated with cloud-resolving ...
Communications of the ACMOpinion

When AI Tools Train on AI Output: Model Collapse in Daily Workflows

The degradation is subtle but cumulative. Tools that release frequent updates while training on datasets polluted with ...

AI model reads brain MRIs in seconds, hitting up to 97.5% accuracy

An AI-powered model developed at the University of Michigan can read a brain MRI and diagnose a person in seconds, a study suggests. The model detected neurological conditions with up to 97.5% ...
Nature

Open-source AI tool beats giant LLMs in literature reviews — and gets citations right

Researchers have published the recipe for an artificial-intelligence model that reviews the scientific literature better than ...
IEEE

Consistency Regularization for Translational Compositional Generalization

Abstract: The ability to generate unseen combinations of known components, known as compositional generalization, is crucial in machine translation. Although neural machine translation performs well ...

ScanTech AI Systems Management Presents Recompliance Plan to Nasdaq Hearing Panel, Provides Update on Re-Compliance Execution

Atlanta, GA, Jan. 27, 2026 (GLOBE NEWSWIRE) -- ScanTech AI Systems Inc. (the "Company" or "ScanTech AI") (Nasdaq: STAI) today announced that its Chief Executive Officer, Dolan Falconer, and Chief ...

Goldman Sachs: Thank God The Apple Saga Is Over

Goldman Sachs is upgraded to BUY, with 10% total return potential and exceptional momentum following a strategic pivot. GS's ...

Silicon Valley Wants to Build A.I. That Can Improve A.I. on Its Own

Ricursive Intelligence, founded by two former Google researchers and valued at $4 billion, is among several efforts to ...
IEEE

Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference

Abstract: The application of artificial intelligence (AI) models in fields such as engineering is limited by the known difficulty of quantifying the reliability of an AI’s decision. A well-calibrated ...