Kevin Zhou (University of Illinois Chicago) — “Query Learning of Automata” Graduate Student Conference in Logic. IDEAL and the Association for Symbolic Logic sponsored the 23rd Graduate Student ...

What began as a Ph.D. project has grown into a website with 120,000 unique visitors each year. With the platform OpenML, ...

By Laura Hamilton Machine Learning (CS 229) is the most popular course at Stanford. Why? Because, increasingly, machine learning is eating the world. Machine learning is a powerful artificial ...

Machine learning and its subsets are useful for a wide range of problems, tasks, and applications. There’s computer vision , which allows computers to “see” and make sense of images and videos.

This hands-on guide offers clear explanations of fuzzy logic along with practical applications and real-world examples. Written by an award-winning engineer, “Fuzzy Logic: Applications in Artificial ...

In this presentation, they delved deep into the types of machine learning that are most applicable to industry and the algorithms behind them. You can read more about this 2018 presentation in the ...

In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

Machine learning methods are becoming increasingly important in the analysis of large-scale genomic, epigenomic, proteomic and metabolic data sets. In this Review, the authors consider the ...

Feb 29, 2024: Machine learning innovations and applications in nanotechnology (Nanowerk Spotlight) Machine Learning in nanotechnology represents a vibrant fusion of artificial intelligence (AI) with ...