Driven On-Chip Integration for High Density and Low Cost” was published by researchers at University of Southern California.

Why it's essential to combine sign-off accuracy, iterative feedback, and intelligent automation in complex designs.

"For 2026, this matters because audiences expect visuals that react, evolve, and feel alive," Jane continues. "It signals ...

MIT researchers have developed a new method for designing 3D structures that can be transformed from a flat configuration ...

Worse, the most recent CERN implementation of the FPGA-Based Level-1 Trigger planned for the 2026-2036 decade is a 650 kW system containing an incredibly high number of transistor, 20 trillion in all, ...

The fund seeks to enable researchers to make leaps rather than incremental advances in the natural sciences and engineering.

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...

We use heuristics to solve computationally difficult problems where optimal solutions are too expensive to deploy, hard to manage, or otherwise inefficient. Our prior work, MetaOpt, shows many of the ...

Rana Coniglio, an Arizona-based therapist who works primarily with Gen Z clients, said they often arrive at her practice ...

Abstract: Recent research on deep convolutional neural networks (DCNNs) for classifying micro-Doppler (m-D) signatures faces a significant challenge due to the limited and costly acquisition of data.

Abstract: Cryptography has long safeguarded sensitive data within information security. Recently, integrating traditional cryptographic methods with Deoxyribonucleic Acid (DNA) technologies sparked ...