Applied Materials introduced three new chipmaking systems that boost the energy-efficient performance of leading-edge logic chips. The technologies supercharge AI compute through atomic-scale ...

New chipmaking systems boost the energy-efficient performance of Gate-All-Around transistors and wiring at 2nm and beyondViva pure radical treatment smoothens GAA silicon nanosheets with atomic-level ...

GaN-, and silicon-based power transistors, modules, and other basic building blocks for more robust, efficient, and ...

GaN power devices are expanding into various industries, including AI data centres, robotics, electric vehicles, renewable ...

Higher levels of integration and ingenious power-conversion architectures are enabling simpler, denser, more efficient ...

The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning ...

In biology, many RNA molecules act as sophisticated microscopic machines. Among them, riboswitches function as tiny biological sensors, changing their 3D shape upon binding to a specific metabolite.

Patterns created using advanced fault models provide higher test coverage, improved defect detection, and higher-yielding ...

Tania Roy studies novel semiconductor materials and devices to advance energy-efficient computing and edge AI.

Organic field-effect transistors (OFETs) have established themselves as versatile platforms for sensing and optoelectronic detection, benefiting from ...

It can be tough to find a good gift for tech obsessives. Since they keep up with the latest releases, they probably already ...