An artificial-intelligence algorithm that discovers its own way to learn achieves state-of-the-art performance, including on some tasks it had never encountered before. Joel Lehman is at Lila Sciences ...
IOP Publishing’s Machine Learning series is the world’s first open-access journal series dedicated to the application and ...
The TMS320F28P550SJ from Texas Instruments is the industry's first real-time MCU with an integrated neural processing unit (NPU). It's designed to run convolutional-neural-network (CNN) models to help ...
Python might be the default for most AI and machine learning development, but what about other popular languages? Here’s what ...
The integration of AI, specifically machine learning, into physical security architecture shows promise in helping organizations better identify threats, improve response times and aid security ...
Understanding the properties of different materials is an important step in material design. X-ray absorption spectroscopy ...
Prevailing AI architectures are not moving the needle. We need new ideas. Google Research proposes NL (nested learning). Here ...
Reliable fault diagnostics in gearboxes is of great importance to industries to improve production quality and reduce maintenance costs. In this paper, an improved evolving fuzzy (iEF) technique is ...
A range of national meteorological services across Europe and ECMWF have launched Anemoi, a framework for creating machine learning (ML) weather forecasting systems. Named after the Greek gods of the ...
Laura Varley is the Careers editor at Silicon Republic. She has a background in technology PR and journalism and is borderline obsessed with film and television, the theatre, Marvel and Mayo GAA. She ...
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