Tech Xplore on MSN

Self-evolving edge AI enables real-time learning and forecasting in small devices

Researchers from The University of Osaka's Institute of Scientific and Industrial Research (SANKEN) have successfully ...
National Academies

Making Machine Learning Safer in High-Stakes Settings

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans, all contexts where ...
AZoRobotics on MSN

MicroAdapt Technology Enables Real-Time Learning and Forecasting in Compact Edge Devices

The University of Osaka's MicroAdapt achieves real-time learning in edge AI, enhancing speed and accuracy for compact devices ...
Semiconductor Engineering

High-Speed Test IO: Addressing High-Performance Data Transmission And Testing Needs For HPC & AI

The AI and HPC industries are rapidly shifting toward chiplet-based designs to achieve unprecedented levels of performance, as traditional monolithic system-on-chip (SoC) architectures face scaling ...
Hosted on MSN

Deep learning model dramatically improves subgraph matching accuracy by eliminating noise

A research team from Kumamoto University has developed a promising deep learning model that significantly enhances the accuracy of subgraph matching—a critical task in fields ranging from drug ...
Science Daily

Breakthrough optical processor lets AI compute at the speed of light

Researchers at Tsinghua University developed the Optical Feature Extraction Engine (OFE2), an optical engine that processes ...
Business Wire

HeartBeam’s Deep Learning Algorithms Demonstrate High Rates of Accuracy for Detecting Arrhythmias

New study presented at HRX Live 2025 demonstrates continued advancement of company’s AI program HeartBeam's AI algorithm performed equally well on HeartBeam 3D ECG system and standard 12L ECGs in ...