Nature

Hybrid learning-based fault prediction and cascading failure mitigation in multi-network energy systems

This paper introduces a novel approach for managing fault propagation in interconnected energy networks comprising electric, gas, and heating systems. As energy infrastructures become increasingly ...
Nature

Thermal fault detection of lithium-ion battery packs through an integrated physics and deep neural network based model

Battery packs develop faults over time, many of which are difficult to detect early. For instance, cooling system blockages raises temperatures but may not trigger alerts until protection limits are ...
Semiconductor Engineering

A Novel Attack For Depleting DNN Model Inference With Runtime Code Fault Injections

A technical paper titled “Yes, One-Bit-Flip Matters! Universal DNN Model Inference Depletion with Runtime Code Fault Injection” was presented at the August 2024 USENIX Security Symposium by ...
Semiconductor Engineering

Integrating Design Verification To Approach Zero Defects

As semiconductor applications in automotive, data center, and high-performance computing grow increasingly mission-critical, the industry faces mounting pressure to achieve near-perfect manufacturing ...