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 machine learning efficiency and performance


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

#artificialintelligence

"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 year's 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 event's workshops.