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 ...
Semiconductor Engineering

Next Generation AI: Transitioning Inference From The Cloud To The Edge

AI inference deployments are increasingly focused on the edge as manufacturers seek the consistent latency, enhanced privacy, ...
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 ...
eLife

Virtual Brain Inference (VBI), a flexible and integrative toolkit for efficient probabilistic inference on whole-brain models

The Virtual Brain Inference (VBI) toolkit enables efficient, accurate, and scalable Bayesian inference over whole-brain network models, improving parameter estimation, uncertainty quantification, and ...
Morning Overview on MSN

A quantum trick is shrinking bloated AI models fast

Artificial intelligence has grown so large and power hungry that even cutting edge data centers strain to keep up, yet a technique borrowed from quantum physics is starting to carve these systems down ...
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 ...