Researchers propose low-latency topologies and processing-in-network as memory and interconnect bottlenecks threaten ...

A Performant Side-channel-Resistant RISC-V Core Securing Edge AI Inference” was published by researchers at Northeastern ...

Edge AI is the physical nexus with the real world. It runs in real time, often on tight power and size budgets. Connectivity becomes increasingly important as we start to see more autonomous systems ...

Machine-learning inference started out as a data-center activity, but tremendous effort is being put into inference at the edge. At this point, the “edge” is not a well-defined concept, and future ...

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 ...

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 ...

Processor hardware for machine learning is in their early stages but it already taking different paths. And that mainly has to do with dichotomy between training and inference. Not only do these two ...

The latest trends in software development from the Computer Weekly Application Developer Network. NTT Corporation has unveiled and detailed a new AI inference chip. NTT announced and demonstrated this ...