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% ...
Journal of Epidemiology and Community Health (JECH)

Health trade-offs of rural structural transformation: evidence from longitudinal data in Bangladesh

Objectives/background This study examines the relationship between occupational transitions out of agriculture and functional health outcomes among rural adults in Bangladesh, with a focus on gender ...

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 ...
Hosted on MSN

Deep learning regularization: Prevent overfitting effectively explained

Regularization in Deep Learning is very important to overcome overfitting. When your training accuracy is very high, but test accuracy is very low, the model highly overfits the training dataset set ...
InfoWorld

AI and machine learning outside of Python

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.
IEEE

Machine Learning-Based Distributed MPC with Consensus Regularization for String Formation in Vehicle Platoons

Abstract: This paper proposes a learning-based distributed model predictive control (MPC) framework with a consensus-regularized cost structure for vehicle platooning. Specifically, vehicle dynamics ...