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NTT Research, Inc., a division of NTT (TYO:9432), today announced that it has named Dr. Brent Waters as Director of its Cryptography and Information Security (CIS) Lab. Dr. Waters joined NTT Research in 2019 as Distinguished Scientist and has been instrumental in building the CIS Lab into one of the world’s premier cryptography organizations. Dr. Waters, who is also […]

If your organization or department has a transformative case study on the latest AI and data solutions to share, there’s still time to apply to be a sponsor at Transform 2022.Join fellow sponsors such as Intel, Lumen, Cognigy, Dell Technologies, Labelbox, Coro, Aviso, Skillsoft, NTT Research and Sama, which will be participating at the in-person Executive Summit on

Inside a soundproofed crate sits one of the world’s worst neural networks. After being presented with an image of the number 6, it pauses for a moment before identifying the digit: zero. Peter McMahon, the physicist-engineer at Cornell University who led the development of the network, defends it with a sheepish smile, pointing out that the

NTT Research, Inc., a division of NTT, appointed Dr. Al Emondi as its head of partner strategy. Emondi joined NTT Research in March 2022 on a contract basis as part of its leadership advisory team. He is also president and chief executive officer of Piontier, LLC, a technology development and neurotech product line consultancy. https://www.hpcwire.com/2022/05/02/hpc-career-notes-may-2022-edition/

An organizational and technology leader, Dr. Emondi joined NTT Research last month on a contract basis as part of its leadership advisory team, with responsibilities that include growth and research partner opportunities, strategic project and program support, partner enablement and value, and research investments. Dr. Emondi is also President and CEO of Piontier, LLC, a

The MIT AI Hardware Program is a new academia and industry collaboration aimed at defining and developing translational technologies in hardware and software for the AI and quantum age. A collaboration between the MIT School of Engineering and MIT Schwarzman College of Computing, involving the Microsystems Technologies Laboratories and programs and units in the college, the cross-disciplinary effort

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

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

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/

NTT Scientists Advance Post-Quantum Cryptography at FOCS Symposium Two scientists from the NTT Research Lab and NTT Social Informatics Laboratories will present papers on post-quantum cryptography at FOCS event. https://thecyberwire.com/newsletters/daily-briefing/11/26