Upgrade 2021: PHI LAB Speakers

Ryan Hamerly

Senior Scientist | NTT Research Physics & Informatics Lab

The Potential of Optical Neural Networks to Overcome Electronic Hardware Limitations

Convolutional neural networks have seen significant advancements over the past 20 years, but further improvements are difficult to come by due to the limitations of modern hardware. Scientists are working to overcome these limitations by integrating optics, with the goal of expanding the capabilities of deep neural networks.

In his talk at Upgrade 2021, the NTT Research Summit, Dr. Ryan Hamerly, Senior Scientist at NTT Research, discussed how the use of optics in computing can overcome the limitations of chip hardware and minimize energy consumption.

Presented at the NTT Research Upgrade 2021 Summit on September 21, 2021.

Satoshi Kako

Senior Research Scientist | NTT Research PHI Lab

CIM on Chip Demonstration

Satoshi Kako illustrates the problem-solving potential of a coherent Ising machine (CIM) by simulating a CIM on an FPGA platform. 

He explains this mechanism (Cyber CIM), which will test potential applications that can be mapped to complex combinatorial optimization problems.

Presented at the NTT Research Upgrade 2021 Summit on September 20, 2021.

Martin Fejer

Professor | Stanford

Nonlinear Nanophotonics: Towards Few-Photons Interactions

Martin Fejer discusses the topic Nonlinear Nanophotonics: Towards Few-Photons Interactions.

Presented at the NTT Research Upgrade 2021 Summit on September 21, 2021.

Project Associate Professor | International Research Center for Neurointelligence, The University of Tokyo

Surya Ganguli

Associate Professor | Stanford University 

Statistical Mechanics of High Dimensional Optimization Landscapes in the CIM

Surya Ganguli discusses the topic Statistical Mechanics of High Dimensional Optimization Landscapes in the CIM.

Presented at the NTT Research Upgrade 2021 Summit on September 21, 2021.

Peter McMahon

Assistant Professor of Applied and Engineering Physics | Cornell University

Computing with Physical Systems

Peter McMahon discusses the topic Computing with Physical Systems.

Presented at the NTT Research Upgrade 2021 Summit on September 21, 2021.

Logan Wright

Research Scientist | NTT Research Physics & Informatics Lab

Physics-Aware Training for Deep Physical Neural Networks: From Digital Twins to Physics-Based Deep Learning

Logan Wright discusses the topic Physics-Aware Training for Deep Physical Neural Networks: From Digital Twins to Physics-Based Deep Learning.

Presented at the NTT Research Upgrade 2021 Summit on September 21, 2021.

Hiroki Takesue

Scientist | NTT Basic Research Lab, Physics & Informatics Lab

Current Status of Coherent Ising machine/LASOLV at NTT Laboratories

Hiroki Takasue discusses the topic Current Status of Coherent Ising Machine/LASOLV at NTT Laboratories.

Presented at the NTT Research Upgrade 2021 Summit on September 21, 2021.

Hidenori Tanaka

Research Group Leader | NTT Research Physics & Informatics Lab

Natural Science of Artificial Neural Networks

Hidenori Tanaka discusses the topic Natural Science of Artificial Neural Networks.

Presented at the NTT Research Upgrade 2021 Summit on September 21, 2021.

Timothee Leleu

Project Associate Professor | International Research Center for Neurointelligence, The University of Tokyo

A Fast, Scalable, and Reconfigurable Simulation Platform for the Coherent Ising Machine

Timothee Leleu discusses the topic A Fast, Scalable, and Reconfigurable Simulation Platform for the Coherent Ising Machine.

Presented at the NTT Research Upgrade 2021 Summit on September 21, 2021.