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 ...

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 ...

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 ...

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 ...

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 ...

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.

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 ...

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 ...

“In addition to applications in the military domain, coresets and distributed machine learning in general are also widely applicable in the commercial setting, where multiple organizations would ...