Nokia announces the 2020 Bell Labs Prize winners.

• The Bell Labs Prize of 2020 winner is the University of Pennsylvania associate Professor for a groundbreaking system that uses deep neural network optical chips as a platform for AI.
• Optical-based systems can revolutionize neural networks, especially by achieving faster processing orders and lower power orders for image and video recognition.

Nokia on 3rd December held a virtual awards ceremony and declared the winners of the 2020 Bell Labs Prize, a contest that acknowledges turbulent innovations that will define the consecutive industrial revolution.
The proposals got from 206 academics in 26 countries. Firooz Aflatouni is an Associate Professor in the Department of Electrical and Systems Engineering at the University of Pennsylvania. He received $100,000 for winning the competition along with his proposal for Integrated Photonic-mmWave Deep Networks.

The 2020 Bell Labs Awards began in March 2020. And the finalists announced in June 2020. Each final candidate hired both a leader and research consultant from the Nokia Bell Labs research team, and they worked together to advance their innovation throughout the year.
The judges selected three winners based on the fraudulent potential of their work:

The first-place prize ($100k) winner is Firooz Aflatouni. He is a faculty member at intervals of the Department of Electrical and Systems Engineering at the University of Pennsylvania. The award he got for his proposal Integrated Photonic-mmWave Deep Networks. Victimization of deep neural network photonic chips as a platform for AI, his system has unarguable that image and video recognition at intervals the optical domain brings a wealth of prospects for the long run. Photonic platforms interpret and acknowledge footage at the speed of light, some six billion times a second, making them significantly faster than available digital procedure platforms. The system is little, all-optical, energy-efficient, and reasonable, making it easy to incorporate into, myriad of different solutions like embedded AI in camera systems.

The second-place prize ($50k) awarded to Sanjeev Arora, a tutorial in computing, a university, and his teammates, Yangsibo Huang (Ph.D. student at click to continue reading

Submitted December 05, 2020 at 10:49PM by Instruction-Hot https://ift.tt/3qvx9F8 via TikTokTikk