AI develops easily understandable solutions for unusual experiments in quantum physics

Researchers at the University of Tuebingen, working with an international team, have developed an artificial intelligence that designs entirely new, sometimes unusual, experiments in quantum physics ...

Anthropic accuses Chinese AI labs of attacking, stealing its data

Anthropic claims Chinese AI labs ran large-scale Claude distillation attacks to steal data and bypass safeguards.
Analytics Insight

Best Machine Learning Bootcamps in 2026 to Start Your AI Career

Overview:Machine learning bootcamps focus on deployment workflows and project-based learning outcomes.IIT and global programs provide flexible formats for appli ...
TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
BMJ

Development of an interpretable machine learning model for frailty risk prediction in older adult care institutions: a mixed-methods, cross-sectional study in China

Objective To develop and validate an interpretable machine learning (ML)-based frailty risk prediction model that combines real-time health data with validated scale assessments for enhanced ...
IEEE

On-Device Machine Learning Model Adaptation for 6G Communications: From Standardization to Over-The-Air Prototyping Experiments Based on Beam Prediction

Abstract: Adapting pretrained artificial intelligence and machine learning (AI/ML) models for on-device inference across diverse environments is challenging due to the extensive offline data ...
Frontiers

Machine learning-based prediction model for recurrence after radiofrequency catheter ablation in patients with atrial fibrillation

Background: This study seeks to develop and validate a machine learning (ML) model for predicting atrial fibrillation (AF) recurrence at 12 months following radiofrequency catheter ablation (RFCA).
techtimes

RITFIT M2 Smith Machine: The Space-Smart Solution for Complete Home Training

Setting up a home gym usually means picking and choosing what equipment you can actually fit. Maybe you grab a power rack but skip the cables. Or you get dumbbells and a bench, but forget about the ...