NTT Corporation (President and CEO: Akira Shimada, “NTT”) and the University of Tokyo (Bunkyo-ku, Tokyo, President: Teruo Fujii) have devised a new learning algorithm inspired by the information processing of the brain that is suitable for multi-layered artificial neural networks (DNN) using analog operations. This breakthrough will lead to a reduction in power consumption and computation time for AI.
NTT and the University of Tokyo Develop World’s First Optical Computing AI Using an Algorithm Inspired by the Human Brain
February 14, 2023 by Leave a Comment
Research Highlights: Deep Neural Networks and Tabular Data: A Survey
April 9, 2022 by Leave a Comment
In this regular column, we take a look at highlights for important research topics of the day for big data, data science, machine learning, AI and deep learning. It’s important to keep connected with the research arm of the field in order to see where we’re headed. In this edition, we feature a new paper showing that for tabular data, algorithms based on gradient-boosted tree ensembles still outperform the deep learning models. Enjoy!
