By Alisher Abdulkhaev and Suzana Ilić Issue #9: March 2020 Keras turned 5Facebook releases SynSinTuring Award 2019 winners: Patrick M. Hanrahan and Edwin E. CatmullNeRF: Representing Scenes as Neural Radiance Fields for View SynthesisStanford NLP Group releases StanzaGoogle announced TensorFlow Developer CertificateICLR 2020 as a fully virtual conference due to the coronavirus spreadingGoogle announced TensorFlow Quantum: … Continue reading AI DIGEST #MARCH20
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5,000 MLT MEMBERS
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
AI CURRICULUM
We created a small repository linking to open Deep Learning and Reinforcement Learning lectures provided by MIT, Stanford University and UC Berkeley. ⚪ MIT 6.S191: Introduction to Deep Learning | 2020⚪ CS231n: CNNs for Visual Recognition, Stanford | Spring 2019⚪ CS224n: NLP with Deep Learning, Stanford | Winter 2019⚪ CS285: Deep Reinforcement Learning, UC Berkeley | … Continue reading AI CURRICULUM
AI ETHICS WITH ANDREW NG AND DEEPLEARNING.AI
Together with AI communities in Singapore, Hong Kong and the Philippines, MLT had the great honor to participate in an AI Ethics meetup initiated by Prof. Andrew Ng and his team at deeplearning.ai. Three teams of AI Engineers and Research Scientists based in Tokyo tackled AI Ethics from three different perspectives: Data Algorithms & Tools … Continue reading AI ETHICS WITH ANDREW NG AND DEEPLEARNING.AI