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 ...

“We’re doing something that has the capability of a CPU but is one or two orders of magnitude more efficient,” says co-founder Brandon Lucia.

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.

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

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.