Most machine-learning algorithms are based on artificial neural networks—programs inspired by the structure of the human brain. A neural network is made of simulated layers of nodes or ...

This is one of the key mathematical operations used to train neural networks — machine-learning models arranged to mimic the architecture of the human brain. AI tools like ChatGPT and Google's ...

Tesla didn’t just build a supercomputer—they reimagined how it works from the ground up. In this video, we take a deep dive into DOJO, Tesla’s custom-built AI supercomputer designed to power the ...

Researchers at Tsinghua University, the China Mobile Research Institute, and Hebei University recently developed a new compute-in-memory chip for federated learning, which is based on memristors ...

Arm Holdings' energy-efficient chip designs are powering AI and IoT growth for Apple, Qualcomm and Samsung as its tech influence deepens.

The rise of FML allows systems to become progressively more intelligent and autonomous by using on-device data and sharing only encrypted model updates.

Energy-saving AI chip In-memory computing Date: October 26, 2023 Source: Technical University of Munich (TUM) Summary: A computer scientist has developed an AI-ready architecture that is twice as ...

The new employee will become an integral part of the ASIC team working on a state-of-the art chip architecture to accelerate AI/machine learning algorithms, the job offer says.