The Next Web

YouTubers sue Amazon for allegedly scraping their videos to train Nova Reel

H3H3 Productions and two golf channels allege Amazon bypassed YouTube's protections using rotating IPs and virtual machines ...

Anthropic Lets Apple, Amazon Test More Powerful Mythos AI Model

Anthropic PBC is letting tech firms access a more powerful, unreleased artificial intelligence model to help prepare for ...
eWeek

Scientists Train Rat Neurons for Real-Time Computing

Researchers in Japan have trained rat neurons to perform real-time machine learning tasks, moving computing into biological territory. The system uses cultured neurons connected to hardware to ...
The Lancet

Deep learning on histopathological images to predict breast cancer recurrence risk and chemotherapy benefit: a multicentre, model development and validation study

aTaub Faculty of Computer Science, Technion-Israel Institute of Technology, Haifa, Israel bFaculty of Electrical and Computer Engineering, Technion-Israel Institute of Technology, Haifa, Israel ...
eWeek

Anthropic Leaks Claude Code, a Literal Blueprint for AI Coding Agents

Anthropic’s Claude Code leak reveals how modern AI agents really work, from memory design to orchestration, and why the ...

Mac Studio 2026: New Leaks Tease M5 Power, Price, and Launch Timeline

New leaks reveal Apple’s M5 Mac Studio with major performance upgrades, a shifting release timeline, and rising prices.
IEEE

FD-YOLO11: A Feature-Enhanced Deep Learning Model for Steel Surface Defect Detection

Abstract: Steel surface defect detection plays a critical quality control role in industrial manufacturing. However, the existing methods struggle to balance accuracy and efficiency, especially in ...
Journal of Medical Internet Research

Explainable Machine Learning Model for Predicting Persistent Sepsis-Associated Acute Kidney Injury: Development and Validation Study

Early identification and prediction of persistent SA-AKI are crucial. Objective: The aim of this study was to develop and validate an interpretable machine learning (ML) model that predicts persistent ...
IEEE

A Learning Model Predictive Control Framework With Long Short-Term Memory for Energy Management in Fuel Cell Hybrid Electric Buses

Abstract: To leverage the complementary physical characteristics (e.g., dynamic response) of fuel cells (FCs) and supercapacitors (SCs), effective energy management strategies (EMSs) need to be ...