New generations of cognitive search and text extraction are allowing data workers to focus more of their time on meaningful work. We spoke with Ryan Welsh, CEO of Kyndi, an artificial intelligence company serving critical government and commercial institutions, to learn more.
- By James E. Powell
- October 25, 2021
ModelOps can help your enterprise cultivate a new way for data scientists and IT to work together and deliver faster, tangible business outcomes.
- By Bryan Harris
- October 18, 2021
Avoiding machine learning bias, improving machine learning documentation, and a case study for AI benefits in a hospital setting.
- By Upside Staff
- October 14, 2021
Although humans can learn from observing a few examples of a given task, ML algorithms cannot. They can, however, learn through self-supervised learning. We explain how self-supervised learning works.
- By Pieter Buteneers
- October 12, 2021
These articles explain recent advances in predicting zoonotic diseases, improving patient health, and targeting personalized care.
- By Upside Staff
- October 5, 2021
Forces behind AI developments, techniques for labeling data for machine learning, and how to use ML for security.
- By Upside Staff
- September 16, 2021
A new molecule to power ultra-fast computing, methods for improving neural networks, and using machine learning to detect and study meteors.
- By Upside Staff
- September 9, 2021
Can ML help database administrators improve the performance of the systems they oversee? We asked Andy Pavlo about his research at Carnegie Mellon University and the future of automated tools.
- By James E. Powell
- September 7, 2021