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LSU tops 2026 transfer class as KAIST debuts AI confidence method

LSU secured ESPN’s No. 1 spot for 2026 transfer classes, adding impact players at quarterback, receiver, and defense to strengthen its title ambitions. Separately, KAIST researchers introduced a brain ...
Machine Design

AI-Driven Material & Component Classification for Faster Product Design Cycles

In asset-intensive industries, misclassified parts and inaccurate bills of materials cost far more than storeroom space. AI ...
Becker's Hospital Review

Hospital strategies for winning under CMS’ new value-based payment models — 3 takeaways

Explore hospital strategies winning under CMS value-based payment models to succeed with mandatory bundles and accountable care structures.

Frontier models are failing one in three production attempts — and getting harder to audit

Stanford's 2026 AI Index: frontier models fail one in three attempts, lab transparency is declining, and benchmarks are ...
Law

DHL’s Chief Legal Officer: Emerging Tech Spurs Need for New Outside Counsel ‘Pricing Models and Performance Metrics’

Mark Smolik, chief legal officer at DHL Supply Chain Americas, which won the Legalweek Leaders in Tech Law Award for Best Use of Artificial Intelligence, talks about how AI and automation will change ...
Frontiers

Depression subtype classification from social media posts: few-shot prompting vs. fine-tuning of large language models

Social media provides timely proxy signals of mental health, but reliable tweet-level classification of depression subtypes remains challenging due to short, noisy text, overlapping symptomatology, ...
Scientific Research Publishing

An Explainable Wavelet-Based Feature Decomposition and Machine Learning Framework for Land Cover Classification ()

1 Department of Geomatic Engineering, University of Mines and Technology, Tarkwa, Ghana. 2 Department of Geomatic and Civil Engineering, University of Mines and Technology, Essikado, Ghana. Accurate ...
IEEE

Multi-Gaussian Prototype Metric With Dual Optimization for Cross-Domain Few-Shot Hyperspectral Image Classification

Abstract: Metric-based few-shot learning (FSL) methods have shown great potential in cross-domain hyperspectral image (HSI) classification. However, existing approaches face three key challenges: ...