Edge computing is an emerging IT architecture that enables the processing of data locally by smartphones, autonomous vehicles, local servers, and other IoT devices instead of sending it to be ...

Nvidia is reportedly developing a specialized processor aimed at accelerating AI inference, a move that could reshape how ...

BingoCGN employs cross-partition message quantization to summarize inter-partition message flow, which eliminates the need for irregular off-chip memory access and utilizes a fine-grained structured ...

Gene regulatory networks (GRNs) depict the regulatory mechanisms of genes within cellular systems as a network, offering vital insights for understanding cell processes and molecular interactions that ...

The most advanced chip in the lineup, the MTIA 500, can provide 10 petaflops of performance when processing MX8 data. It also supports a more efficient data format called MX4. The latter technology ...

Researchers have developed photonic computing chips that overcome key limitations for a type of neural network known as a ...

Researchers at the University of Sydney have built a photonic AI chip that processes neural network tasks at the speed of light while generating far less heat and consuming far less power than ...

A new technical paper titled “PermuteV: A Performant Side-channel-Resistant RISC-V Core Securing Edge AI Inference” was published by researchers at Northeastern University. “Edge AI inference is ...

TORONTO--(BUSINESS WIRE)--Untether AI ®, a leader in energy-centric AI inference acceleration today introduced a breakthrough in AI model support and developer velocity for users of the imAIgine ® ...