June 2019 Semantic Sanity "Semantic Sanity is an adaptive ArXiv feed inspired by ArXiv Sanity. It uses AI to quickly learn what papers you care about reading and recommends the latest research to help you stay up to date in Computer Science." ICML 2019: Thirty-sixth International Conference on Machine Learning Google, ETH Zurich, MPI-IS, Cambridge … Continue reading 2019 SO FAR: WHAT HAPPENED IN AI/ML?
An MLT Team of 15 engineers and researchers is dedicated to projects related to embedded Machine Learning and Robotics. One of our projects is MLT x Agritech, where we investigate new ways of improving and automating agricultural processes with cutting-edge technology, from hardware to software. Recently, the team visited the Hackerfarm, a community of farmers … Continue reading MLT TEAM VISITS HACKERFARM
The Earth-Life Science Institute at the Tokyo Institute of Technology held a Machine Learning and Deep Learning Bootcamp in collaboration with Machine Learning Tokyo for scientists in Biology, Chemistry, Astro- and Geophysics, and other fields researching the origins of life. Find the MLT materials on GitHub: Slides ML Research Project Management Intro to Deep … Continue reading ML/DL BOOTCAMP @ELSI
Here's a quick recap of the two projects we built at Junction Tokyo. MLT x 2020 We wanted to build a Deep Learning system that serves the Tokyo Olympics 2020 and help facilitate a safe, fun and incredible experience for all people involved - for participants from Japan and all over the world and … Continue reading MLT @JUNCTION TOKYO
20 Machine Learning engineers joined us for the second Machine Learning Tokyo Workshop on GANs in Shibuya. We looked at theoretical aspects of Generative Adversarial Networks, went over an illustrative code example in PyTorch on how to create fake data from real data, in this case a Gaussian distribution, and finally we implemented a GAN … Continue reading INTRO TO GENERATIVE ADVERSARIAL NETWORKS
The first robot Natalie Thanomvajamun built didn't work. At all. And she had no idea what she was doing. But she remained persistent and step by step her robotic systems became more robust and refined, which peaked in participating in the ABU Robocon. Natalie is majoring in Robotics at the Tokyo Institute of Technology. Her … Continue reading FROM AI TO BLOCKCHAIN: WOMEN IN TECH
Yes we GAN! The first Machine Learning Tokyo Workshop on GANs was a great success. We held the 1-day-workshop at Tokyo Chapter in Roppongi and 20 machine learning engineers came to hear our three instructors: Mustafa Yagmur works as a machine learning engineer for a Weathernews Inc. in Tokyo. Gregorio Nuevo Castro is currently writing his … Continue reading MACHINE LEARNING TOKYO: GANs