Physics World

Neural simulation-based inference techniques at the LHC

A neural network is a machine learning model originally inspired by how the human brain works (Courtesy: Shutterstock/Jackie Niam) Precision measurements of theoretical parameters are a core element ...
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 ...
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 ...
Business Wire

Untether AI Dramatically Expands AI Model Support and Speeds Developer Velocity with New Generative Compiler Technology

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 ® ...
EurekAlert!

Researchers overcome key scaling barriers in photonic AI with a novel deep photonic neural network chip

As artificial intelligence (AI) technology advances, the inherent limitations of conventional electronic processors in energy consumption and processing latency have become increasingly prominent.
Electronic Design

Build Edge AI Systems Using eFPGA Technology

The growing role of AI in modern electronic systems. How artificial neural networks leverage AI to serve applications. How to use eFPGA IP to efficiently deploy edge AI systems. Artificial ...
Security Boulevard

NDSS 2025 – ASGARD

DNN Attack Surfaces Authors, Creators & Presenters: Myungsuk Moon (Yonsei University), Minhee Kim (Yonsei University), Joonkyo Jung (Yonsei University), Dokyung Song (Yonsei University) PAPER ASGARD: ...