Mingi Kang ’26 received a Fall Research Award from Bowdoin this semester to support his project exploring how two distinct ...

Researchers developed 3D flash memory chips that help self-driving vehicles plan optimal routes, using 74% less energy.

WiMi innovatively combines the robust feature extraction capabilities of QCNN with the dual-discriminator architecture to construct a hybrid quantum-classical generative adversarial framework. The ...

The Qualcomm Snapdragon X2 Elite improves upon its predecessor in almost every way, with improved performance and efficiency ...

This guide shows how TPUs crush performance bottlenecks, reduce training time, and offer immense scalability via Google Cloud ...

Artificial intelligence has exploded in popularity in recent years, and many proponents are excited about its potential uses in medicine: for example, processing samples quickly or identifying markers ...

While humans and classical computers must perform tensor operations step by step, light can do them all at once.

A new AI-driven technology developed by researchers at UNIST promises to significantly reduce data transmission loads during image transfer, paving the way for advancements in autonomous vehicles, ...

A skull-stripping artificial intelligence model leveraging personalized prior knowledge from brain atlases generates consistent brain extraction across diverse age groups, scanners and protocols. Deep ...

Large language models (LLMs) like ChatGPT can write an essay or plan a menu almost instantly. But until recently, it was also ...

But now, in the age of artificial intelligence, it is increasingly constrained by limitations that cannot adequately meet current computing demands. In its place, neuromorphic computer designs, which ...

A comprehensive review and perspective on differentiable imaging—a paradigm pioneered by research team since 2021—shows how systematic uncertainty quantification has revolutionized computational ...