KPMG Ignition Tokyoは、オープンエデュケーション、オープンソース、オープンサイエンスを通じた機械学習と人工知能の民主化に取り組む一般社団法人Machine Learning Tokyo とパートナーシップ契約を締結しました。MLTとのパートナーシップを通じて、テクノロジーコミュニティのさらなる成長と発展に貢献することを目指しています。
AI
AI DIGEST #JULY20
What happened in AI, Machine Learning and Deep Learning this month, at a glance.
10 COOL GPT-3 DEMOS
Since OpenAI kicked off the GPT-3 API access for selected users, many demos have been created that showcased the impressive capabilities of the massive-scale language model. Here are 10 cool demos based on GPT-3 that appeared on Twitter.
AI DIGEST #JUNE20
AI, Machine Learning and Deep Learning this month, at a glance.
DLPOTW: DISCOVERING SYMBOLIC MODELS FROM DEEP LEARNING WITH INDUCTIVE BIASES
🚀 DEEP LEARNING PAPER OF THE WEEK Miles Cranmer, Alvaro Sanchez-Gonzalez, Peter Battaglia, Rui Xu, Kyle Cranmer, David Spergel, Shirley Ho Abstract "We develop a general approach to distill symbolic representations of a learned deep model by introducing strong inductive biases. We focus on Graph Neural Networks (GNNs). The technique works as follows: we first encourage sparse latent representations when we train … Continue reading DLPOTW: DISCOVERING SYMBOLIC MODELS FROM DEEP LEARNING WITH INDUCTIVE BIASES
PAPERS WITH ANNOTATIONS
MLT Co-Director Alisher Abdulkhaev shares his Papers with Annotations. This project compiles multiple (AI related) papers with illustrations, annotations, and brief explanations of technical keywords, terms and previous studies which makes it easy to read the paper and follow the main idea. Object detection papers with annotationsAI and Cognitive Science related papers with annotations Please … Continue reading PAPERS WITH ANNOTATIONS