Abstract: In this paper, we propose a compact model for feedback field-effect transistors (FBFETs), based on a gated recurrent unit (GRU) neural network, enabling fast and accurate circuit-level ...

Abstract: Nanoscale circuits are more vulnerable to transient faults or soft errors because the charge stored at their sensitive nodes is significantly reduced. As a result, modern designs strictly ...

For nearly two decades, two-dimensional (2D) semiconductors have been studied as a complement or possible successor to silicon transistors, promising smaller, faster and more energy-efficient ...

Researchers at Peking University in China have developed the world’s smallest and most energy-efficient ...

Duke engineers show how a common device architecture used to test 2D transistors overstates their performance prospects in real-world devices.

By applying voltage to electrically control a new "transistor" membrane, researchers at Lawrence Livermore National Laboratory (LLNL) achieved real-time tuning of ion separations—a capability ...

Space is unforgiving to electronics. Beyond Earth’s protective magnetic field, satellites are bombarded by ...

Adding big blocks of SRAM to collections of AI tensor engines, or better still, a waferscale collection of such engines, turbocharges AI inference, as has ...

A team of researchers in Japan has developed an artificial intelligence tool called YORU that can identify specific animal behaviors in real time and immediately interact with the animals’ brain ...