News: 18.02.2019

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ECE Women Community

Artificial intelligence at maximum speed

Dr. Kvatinsky’s research group has developed, on a theoretical level, hardware systems specifically designed to work with these networks,

allowing the neuron network to perform the learning phase at high speed and with reduced energy.

“Compared to working with graphics processors, our hardware improves the speed of computation by 1,000 and reduces energy consumption by 80 percent,” Kvatinsky.

Academic Article

Photo: Nitzan Zohar

Research Areas

Electronic Circuits, VLSI Systems & Power Systems

Labs

VLSI LabHS-DSL – High Speed Digital Systems LabCOMM – Communication LabSIPL – Signal and Image Processing LabCRML – Control Robotics and Machine Learning LabHybrid Imaging Lab
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It is with great sorrow that we recently bid farewell to Prof. Allen Tannenbaum, who passed away last December at his home in New York.
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It is with great sorrow that we recently bid farewell to Prof. Allen Tannenbaum, who passed away last December at his home in New York.

Prof. Tannenbaum served as a senior faculty member at the Faculty from 1989 to 1992 and from 2005 to...
Congratulations, Prof. Yoash. Levron for winning the Best Paper award

Congratulations, Prof. Yoash. Levron for winning the Best Paper award

The winning paper  R. Robin, L. Heistrene, J. Belikov, D. Baimel, and Y. Levron, Evaluating model performance through a...
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