Reducing variation in manufacturing, monitoring behavior over time, and targeting specific workloads can have a big impact on ...
Abstract: We study human mobility networks through timeseries of contacts between individuals. Our proposed Random Walkers Induced temporal Graph (RWIG) model generates temporal graph sequences based ...
Over the past decades, electronics engineers worldwide have been trying to develop devices that could enable even faster communications between devices, all while consuming less energy. To meet the ...
A new AI-powered chip from UC Davis can analyze light and chemicals using a device tiny enough to fit almost anywhere. By ...
Paragraf has expanded its graphene-based electronics portfolio with the launch of a new Graphene Field Effect Transistor (GFET), marking a further step in scaling production of its semiconductor ...
SAN FRANCISCO, May 7 (Reuters) - Quantum Motion on Thursday said it raised $160 million to fund its effort to build a quantum computer that is smaller, cheaper and more energy efficient than rivals ...
An InGaZnO Synaptic Transistor Using Titanium-Oxide Traps at Back Channel for Neuromorphic Computing
Abstract: Synaptic transistors have attracted growing interest due to their potential in bio-inspired computing. Conventional synaptic transistors typically rely on charge traps, dipoles, or mobile ...
Graphene-based field-effect transistors (GFETs) represent a transformative class of devices in which a two-dimensional carbon lattice serves as the active channel for charge transport. Owing to ...
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