BMI classification system wrongly identifies some people as having overweight or obesity, says study

Research from Italy to be presented at this year's European Congress on Obesity (ECO 2026, Istanbul, Türkiye, 12–15 May) and published in the journal Nutrients shows that when the gold standard ...

Theia Insights raises $8M to build dynamic classification system for financial markets

Theia Insights Ltd., a startup that is building a dynamic classification system for global financial markets, revealed today ...

Founded by Ex-Amazon AI Researchers, Theia Insights Raises $8 Million to Map the Unmapped in Financial Markets

Theia Insights, opens new tab, a Cambridge-based deep-tech company whose technology is used by global index providers, asset ...
Scientific Research Publishing

H-UQ-MFF: Hybrid Uncertainty-Aware Multi-Feature Fusion for Clinically-Translatable Glaucoma Detection with FDA-Compliant Validation ()

Although artificial intelligence (AI) has demonstrated potential in automating glaucoma screening, there is still a ...
Medscape

Paralympic Classification: Making Milano Cortina Fair

For clinicians, knowing the B, LW, and SB class systems helps interpret outcomes and advise athletes on training, equipment ...
Hosted on MSN

Learning to identify multiple examples of vertical angles

👉 Learn how to identify angles from a figure. This video explains how to solve problems using angle relationships between parallel lines and transversal. We'll determine the solution given, ...
TechCrunch

Anthropic to challenge DOD’s supply chain label in court

Dario Amodei said Thursday that Anthropic plans to challenge the Department of Defense’s decision to label the AI firm a supply chain risk in court, a designation he has called “legally unsound.” The ...
techtimes

Perplexity Unveils 'Computer,' Autonomous Multi-Agent AI That Plans, Builds, Executes Complex Tasks

AI agents speed up tasks while allowing people to focus on other complicated tasks. Perplexity, for instance, has caught up in this game by unveiling its newest AI agent named "Computer." The ...
Frontiers

DenseLes: slice-wise dense network for multiple sclerosis lesion segmentation and classification

Accurate and reliable segmentation of multiple sclerosis (MS) lesions from magnetic resonance imaging (MRI) is essential for diagnosis and monitoring disease progression. Therefore, a robust and ...
IEEE

Reliable Representation Learning for Incomplete Multi-View Missing Multi-Label Classification

Abstract: As a cross-topic of multi-view learning and multi-label classification, multi-view multi-label classification has gradually gained traction in recent years. The application of multi-view ...