Semiconductor Engineering

How Neural Super Sampling Works: Architecture, Training, And Inference

This blog post is the second in our Neural Super Sampling (NSS) series. The post explores why we introduced NSS and explains its architecture, training, and inference components. In August 2025, we ...
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!

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 ...

Interpretable neural networks help reveal the nature of dark matter

A research team from the Xinjiang Astronomical Observatory (XAO) of the Chinese Academy of Sciences has developed an ...
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 ...
EDN

Ethernet switch has on-chip neural network

Trident 5-X12, a software-programmable Ethernet switch from Broadcom, packs an on-chip neural-network inference engine—a first according to the company. NetGNT, which stands for networking ...
The Next Platform

Rebellions AI Puts Together An HBM And Arm Alliance To Take On Nvidia

The number of AI inference chip startups in the world is gross – literally gross, as in a dozen dozens. But there is only one ...