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

Posted: December 7, 2020 at 4:59 am

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PALO ALTO, Calif.--(BUSINESS WIRE)--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 years NeurIPS 2020, the 34th annual conference of the Neural Information Processing Systems Foundation. A non-profit corporation that fosters the exchange of research on neural information processing systems in their biological, technological, mathematical and theoretical aspects, the NeurIPS Foundation will hold this years all-virtual conference on December 6-12. Its selection committee accepted 16 percent of the more than 12,000 abstract submissions they received, including the following three, which touch upon deep neural networks, theory and algorithms, deep learning and Bayesian modeling:

There is no better place to explore the overlap between machine learning and computational neuroscience than the annual NeurIPS event, said Yoshihisa Yamamoto, PHI Lab Director. We are excited to see the latest paper by Dr. Tanaka and his Stanford colleagues, as well as those by our colleagues at the NTT Software Innovation Center and NTT Communication Science Laboratories and expect the fields of neural networking and machine learning will benefit from the efficiencies and expanded capabilities that they are proposing.

This years seven-day virtual NeurIPS event includes an expo, conference sessions, tutorials and workshops. The authors of these papers will participate in the event through poster and short recorded presentations. A follow-up to the Pruning Neural Networks paper, as noted above, will be presented at one of the events workshops. As an indication of the vitality of this sub-field of neuroscience, the event organizers noted a 40 percent year-over-year increase in the number of submitted abstracts, similar to the growth from 2018 to 2019. Papers in the areas of algorithms, deep learning and applications comprised 66 percent of the papers that were reviewed. Among this years keynote speakers are Christopher Bishop, director of the Microsoft Research Lab in Cambridge, England; Shafi Goldwasser, Director of the Simons Institute for the Theory of Computing; and Marloes Maathuis, Professor of Statistics at ETH (the Swiss Federal Institute of Technology) in Zurich.

About NTT Research

NTT Research opened its Palo Alto offices in July 2019 as a new Silicon Valley startup to conduct basic research and advance technologies that promote positive change for humankind. Currently, three labs are housed at NTT Research: the Physics and Informatics (PHI) Lab, the Cryptography and Information Security (CIS) Lab, and the Medical and Health Informatics (MEI) Lab. The organization aims to upgrade reality in three areas: 1) quantum information, neuro-science and photonics; 2) cryptographic and information security; and 3) medical and health informatics. NTT Research is part of NTT, a global technology and business solutions provider with an annual R&D budget of $3.6 billion.

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

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December 7th, 2020 at 4:59 am

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