Semiconductor Engineering

Performant Side-Channel Resistant RISC-V Core to Secure Neural Network Inference (Northeastern Univ.)

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

Gene regulatory network inference based on causal discovery integrating with graph neural network

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 ...
SDxCentral

AI inference crisis: Google engineers on why network latency and memory trump compute

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

Inference At The Edge: How The World’s Networks Will Need To Respond As AI Advances

When you ask an artificial intelligence (AI) system to help you write a snappy social media post, you probably don’t mind if it takes a few seconds. If you want the AI to render an image or do some ...
EurekAlert!

Real-time, large-scale graph neural network inference through BingoCGN

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 ...
Network World

OpenAI turns to Cerebras in a mega deal to scale AI inference infrastructure

The multibillion-dollar deal shows how the growing importance of inference is changing the way AI data centers are designed ...
Semiconductor Engineering

Efficient TNN Inference on RISC-V Processing Cores With Minimal HW Overhead

A new technical paper titled “xTern: Energy-Efficient Ternary Neural Network Inference on RISC-V-Based Edge Systems” was published by researchers at ETH Zurich and Universita di Bologna. “Ternary ...