Source: ML Collective "Progress toward democratizing AI research has been centered around making knowledge (e.g. class materials), established ideas (e.g. papers), and technologies (e.g. code) more accessible. However, open, online resources are only part of the equation. Growth as a researcher requires not only learning by consuming information individually, but hands-on practice whiteboarding, coding, plotting, … Continue reading ICLR 2021 SOCIAL: OPEN COLLABORATION IN ML RESEARCH
The MLT team Yoovraj Shinde, Alisher Abdulkhaev, Naveen Kumar, Hajime Kato and Benjamin Ioller developed an object detection and object tracking system and scored a gold medal and 3rd prize in the competition. Code and documentation were open sourced and are available on our MLT GitHub.
AI, Machine Learning and Deep Learning this month, at a glance.
Amidst the coronavirus pandemic we want to share some wonderful news. We are extremely happy that Machine Learning Tokyo doubled in size in this past year from 2,400 members in March 2019 to more than 5,000 members in March 2020. Going online and opening up to the global AI community made MLT more diverse, bigger … Continue reading 5,000 MLT MEMBERS
We are honored and excited to welcome Dimitris Katsios and Alisher Abdulkhaev to the MLT Board of Directors. Both have been part of our Computer Vision Team since 2018, they have been tirelessly supporting the community, teaching CNN architectures in numerous workshops in Tokyo and have always been an essential part of the organization. They … Continue reading NEW MEMBERS ON THE MLT BOARD OF DIRECTORS
Spaces Shinagawa was packed at our ML TOKYO TALKS event – Quantum Computing/Quantum Machine Learning edition in collaboration with the Association of Italian Researchers in Japan (AIRJ). We were fortunate to welcome two experts in the field of Quantum Computing: Mattia Fiorentini (Head of Machine Learning and Quantum Algorithms at Cambridge Quantum Computing) and Nathan … Continue reading ML TOKYO TALKS: QUANTUM EDITION