PHI

NTT Research Launches Joint Research on Neuro-Computing with The University of Tokyo International Research Center for Neurointelligence

IRCN to Collaborate with NTT Research’s PHI Lab on Coherent Ising Machine (CIM) Algorithms and Simulator Sunnyvale, Calif. – July 28, 2021 – NTT Research, Inc., a division of NTT (TYO:9432), today announced that it has entered a joint research agreement with The University of Tokyo’s International Research Center for Neurointelligence (IRCN) to develop Coherent Ising Machine (CIM)-related […]

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CNET: Quantum computers could crack today’s encrypted messages. That’s a problem

Quantum computers, if they mature enough, will be able to crack much of today’s encryption. That’ll lay bare private communications, company data and military secrets. Today’s quantum computers are too rudimentary to do so. But data surreptitiously gathered now could still be sensitive when more powerful quantum computers come online in a few years. The computing

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AiThority: NTT Research and Tokyo Institute of Technology Target Two Applications for CIM

NTT Research, Inc., a division of NTT, announced that it has entered into a joint research agreement with Tokyo Institute of Technology (Tokyo Tech) to develop applications for the Coherent Ising Machine (CIM). The two targeted applications for the CIM, an information processing platform based on quantum oscillator networks, are compressed sensing and drug discovery, both of

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Satoshi Kako: The Inspiration, Nature and Future of CIMs

Dr. Satoshi Kako is a Senior Research Scientist and Deputy Director at the NTT Research Physics & Informatics (PHI) Laboratory. Previously, he worked as an Associate Program Manager in a national R&D initiative led by PHI Lab Director, Yoshihisa Yamamoto. Dr. Kako received his undergraduate and master’s degrees in electronic engineering from the University of

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NTT Research and Tokyo Institute of Technology Target Two Applications for CIM

Coherent Ising Machine (CIM) Joint Research Focuses on Drug Discovery and Compressed Sensing Sunnyvale, Calif. – April 27, 2021 – NTT Research, Inc., a division of NTT (TYO:9432), today announced that it has entered into a joint research agreement with Tokyo Institute of Technology (Tokyo Tech) to develop applications for the Coherent Ising Machine (CIM). The two targeted

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Exploring a New Frontier and 2021 Goals: A Conversation with Yoshihisa Yamamoto

Professor Yoshihisa Yamamoto is the director of the NTT Research Physics & Informatics (PHI) Lab and a professor of Applied Physics & Electrical Engineering, emeritus, at Stanford University. He has led research laboratories focused on quantum optics and quantum information processing for more than 30 years. Dr. Yamamoto’s current research interests are in the areas

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NTT Research Collaboration to Develop World’s Fastest Coherent Ising Machine

New Joint Research Agreement Reached to Explore High-Speed, Miniature CIM Sunnyvale, Calif. – January 25, 2021 – NTT Research, Inc., a division of NTT (TYO:9432), today announced a collaboration to develop a high-speed Coherent Ising Machine (CIM). The NTT Research Physics & Informatics (PHI) Lab will be paired with Caltech’s Department of Applied Physics and Materials Science with

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Neural Mechanics and Symmetry: Hidenori Tanaka on NeurIPS 2020

Last month’s Neural Information Procession Systems conference (NeurIPS 2020), which took place (virtually) from December 6-12, 2020, was another occasion for Physics & Informatics (PHI) Lab Senior Research Scientist Hidenori Tanaka to advance work that he has undertaken with Stanford University colleagues on the dynamics of neural networks. In a previous blog post, we discussed

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NTT Co-authored Papers at NeurIPS to Advance Machine Learning Efficiency and Performance

Ground-breaking Topics Include Neural Network Pruning, Meta Learning and Alternative Bayesian Model Palo Alto, Calif. – December 3, 2020 – NTT Research, Inc., a division of NTT (TYO:9432), NTT Communication Science Laboratories and NTT Software Innovation Center today announced that three papers co-authored by scientists from several of their divisions were selected (including one Spotlight paper) for this

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