Machine-learning approach automates structure creation for data management Computer Science |
- Machine-learning approach automates structure creation for data management
- Efficient Parsing with Derivatives and Zippers (PhD Thesis, EPFL 2021)
- Reconnaissance Blind Chess - Join the NeurIPS Competition!
- Ultrathin Semiconductors Equipped With Superconducting Contacts for the First Time
- What is Selenium?
- [P] solo-learn: a library of self-supervised methods for visual representation learning
| Machine-learning approach automates structure creation for data management Posted: 14 Jul 2021 09:14 AM PDT |
| Efficient Parsing with Derivatives and Zippers (PhD Thesis, EPFL 2021) Posted: 15 Jul 2021 03:42 AM PDT |
| Reconnaissance Blind Chess - Join the NeurIPS Competition! Posted: 14 Jul 2021 08:59 AM PDT Create a bot for the NeurIPS 2021 competition in Reconnaissance Blind Chess! Reconnaissance Blind Chess is a chess variant designed for new research in artificial intelligence. RBC includes imperfect information, long-term strategy, explicit observations, and almost no common knowledge. These features appear in real-world scenarios, and challenge even state of the art algorithms. Each player of RBC controls traditional chess pieces, but cannot directly see the locations of her opponent's pieces. Rather, she learns partial information each turn by privately sensing a 3x3 area of the board. RBC's foundation in traditional chess makes it familiar and entertaining to human players, too! There is no cost to enter this tournament. Winners will receive a small monetary prize and authors of the best AIs will be invited talk about their bots at NeurIPS, the world's largest AI conference. Reconnaissance Blind Chess is now also a part of the new Hidden Information Games Competition (HIGC - http://higcompetition.info/) being organized by DeepMind and the Czech Technical University in Prague. Learn more, play a game of RBC yourself, and join our research community at https://rbc.jhuapl.edu ! Organized by: Johns Hopkins University Applied Physics Laboratory with Ashley J. Llorens (Microsoft Research) Todd W. Neller (Gettysburg College) Raman Arora (Johns Hopkins University) Bo Li (University of Illinois) Mykel J. Kochenderfer (Stanford University) [link] [comments]  |
| Ultrathin Semiconductors Equipped With Superconducting Contacts for the First Time Posted: 14 Jul 2021 09:04 AM PDT |
| Posted: 14 Jul 2021 10:20 PM PDT |
| [P] solo-learn: a library of self-supervised methods for visual representation learning Posted: 14 Jul 2021 11:14 AM PDT |
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