March 2022

Boyle and Ireland Discuss Zero-Trust at CyberTech Global Tel Aviv

The CyberTech Global Tel Aviv conference, which took place March 1-3, drew participation from NTT and NTT Research. A conference side event, titled “NTT, Your Gateway to Japan and the World” and sponsored by NTT Innovation Laboratory Israel (NTT Israel) took place on the afternoon of March 2. A panel on zero-trust strategy at the […]

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NTT Research Joins MIT AI Hardware Program

Becomes Inaugural Industrial Member in Group Coordinating MIT AI Research Sunnyvale, Calif. – March 29, 2022 – NTT Research, Inc., a subsidiary of NTT (TYO:9432), today announced that it has joined the Massachusetts Institute of Technology (MIT) Artificial Intelligence (AI) Hardware Program as an inaugural industrial member. A leading academic center for AI research, MIT has established this

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Deep physical neural networks trained with backpropagation

Deep-learning models have become pervasive tools in science and engineering. However, their energy requirements now increasingly limit their scalability. Deep-learning accelerators aim to perform deep learning energy-efficiently, usually targeting the inference phase and often by exploiting physical substrates beyond conventional electronics. Approaches so far have been unable to apply the backpropagation algorithm to train unconventional novel

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Physics of Quantum Electronics (PQE)-2022 Conference Honors NTT Research PHI Lab Director Yoshihisa Yamamoto with Willis E. Lamb Award

Physics of Quantum Electronics (PQE) Conference has named Yoshihisa Yamamoto, NTT Research Physics & Informatics (PHI) Lab Director and Emeritus Professor of Applied Physics and Electrical Engineering at Stanford University, one of the three winners of the Willis E. Lamb Award for Laser Science and Quantum Optics. The award was presented on January 12 at the PQE-2022 Winter Colloquium

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Physical Systems Perform Machine-Learning Computations

You may not be able to teach an old dog new tricks, but Cornell researchers have found a way to train physical systems, ranging from computer speakers and lasers to simple electronic circuits, to perform machine-learning computations, such as identifying handwritten numbers and spoken vowel sounds. https://techilive.in/physical-systems-perform-machine-learning-computations/

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Dr. Mark Zhandry: Post-Quantum Cryptography and More

Mark Zhandry is a senior scientist in the NTT Research Cryptography & Information Security (CIS) Lab and an assistant professor at Princeton University. After earning his B.A. at the University of California-Berkeley, where he majored in electrical engineering, computer science and physics, he earned his Ph.D. from Stanford University in computer science and completed postdoctoral

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Kazuhiro Gomi Joins Panel on Leadership Strategy

NTT Research President and CEO, Kazuhiro Gomi, participated in a leadership podcast published on February 22, 2022. Hosted by The New P&L Brand Purpose Institute, a UK-based culture and management consultancy, this weekly podcast interviews entrepreneurs, business leaders and social impact investors for their views and opinions on the importance of “Principles and Leadership” (aka,

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