AI captures particle accelerator behavior to optimize machine performance

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...
IEEE

Exploiting Output Activation Sparsity Using Bit-Separable Multiplier in CNN Accelerator

Abstract: This paper demonstrates a bit-separable multiplier (BSM) in CNN accelerators to leverage output activation sparsity. BSM improves computational efficiency by predicting the output of ...
IEEE

FPGA-Efficient Digital Implementation of a Multiplierless Cochlea–Neuron Interaction Model for Industrial-Scale Neural Systems

Abstract: This article presents a novel digital design methodology for modeling cochlea–neuron interactions, tailored for applications within the scope of industrial electronics, such as real-time ...
syracuse.com

New York trust wins $5 million from a single lottery scratch-off ticket

A Long Island-based trust has claimed a $5 million top prize from the New York Lottery’s Mystery Multiplier scratch-off game, the lottery announced this week. The Triple J Irrevocable Trust of Lake ...
IEEE

An Adaptive Feature Interaction Learning Model for QoS Prediction With Multi-Source Context

Abstract: The increasingly dynamic and diversified cloud service network environment poses many challenges to the QoS prediction in the field of service recommendation. How to predict the quality of ...
Morningstar

ADLINK Launches Its First COM Express Module Powered by Intel Core Ultra Series 3 Processors

ADLINK Launches Its First COM Express Module Powered by Intel Core Ultra Series 3 Processors ADLINK Launches Its First COM Express Module Powered by Intel Core Ultra Series 3 Processors PR Newswire ...
IEEE

A Risk Identification and Prediction Model for Intelligent Driving Under Multi-Vehicle Interactions in Mountain Tunnel Environments

Abstract: Accurate driving risk prediction is essential for preventing traffic accidents, particularly in complex mountain tunnel environments where conventional assessment methods often fall short.
IEEE

MotifGT-DTI: Pivotal Motif-Based Graph Transformer Model Improves Drug–Target Interaction Prediction

Abstract: Predicting drug–target interactions (DTIs) plays an essential role in drug discovery and drug repurposing. Although significant performance improvements have been achieved in DTI prediction, ...