Exploiting Dual-Gate Ambipolar CNFETs for Scalable Machine Learning Classification

no code implementations • 9 Dec 2019 • Farid Kenarangi, Xuan Hu, Yihan Liu, Jean Anne C. Incorvia, Joseph S. Friedman, Inna Partin-Vaisband

Ambipolar carbon nanotube based field-effect transistors (AP-CNFETs) exhibit unique electrical characteristics, such as tri-state operation and bi-directionality, enabling systems with complex and reconfigurable computing.

BIG-bench Machine Learning Classification +1

A Single-MOSFET MAC for Confidence and Resolution (CORE) Driven Machine Learning Classification

no code implementations • 21 Oct 2019 • Farid Kenarangi, Inna Partin-Vaisband

Mixed-signal machine-learning classification has recently been demonstrated as an efficient alternative for classification with power expensive digital circuits.

BIG-bench Machine Learning General Classification