Tag: machine learning

• AutoDoc: Automated Documentation of Empirical Research​

  

  Partners: Sebastian Musslick and Younes Strittmatter SSEC Engineer: Carlos Garcia Jurado Suarez, Anuj Sinha, and Rashmika Reddy Research Goals and Domain Reproducibility is a foundational pillar of the scientific process. However, numerous empirical studies in behavioral research are difficult to replicate due to inadequate and opaque documentation of their research steps. AutoRA is a collection…

• Announcing 2023 Seed Grants for AI Projects

  

  The eScience Institute has partnered with the UW Office of Research, the Paul G. Allen School of Computer Science & Engineering, the Information School, and the NSF Institute for Foundations of Data Science (IFDS) to award seed grants to help initiate and support novel collaborations on four projects: Revealing the Hidden Lives of Cryptic Carnivores…

• Affiliate’s health startup receives $8.5 million in funding

  

  By Robin Brooks KenSci, a health data startup co-founded by Ankur Teredesai and Samir Manjure, has raised $8.5 million in a Series A investment round. The startup uses machine learning technology that “helps doctors predict who might get sick and how sick they might get, and take actions to help them before it happens.” (1)…

• eScience fellows release new music dataset

  

  By Robin Brooks Sham Kakade, senior data science fellow, and Zaid Harchaoui, data science fellow, are part of a UW team that has developed MusicNet, a “classical music dataset … which enables machine learning algorithms to learn the features of classical music from scratch.” According to a UW press release, “MusicNet is the first publicly available large-scale…