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Poster session location: Lawson Commons. Join us for a two-day workshop exploring the latest developments in scientific machine learning, where theory, algorithms, and real-world applications converge ...

In the teaching of computer science, metaphors and analogies are especially fitting: the essence of algorithms is abstract discrete structures, and to help learners quickly grasp the logic within, we ...

The algorithms that underlie modern artificial-intelligence (AI) systems need lots of data on which to train. Much of that data comes from the open web which, unfortunately, makes the AIs susceptible ...

The intersection of machine learning and mathematical logic — spanning computer science, pure mathematics, and statistics — has catalyzed recent advances in artificial intelligence and deep learning ...

Overview: Data Science is broader and focuses on extracting insights, whereas machine learning is a subset that focuses on ...

For artificial intelligence to realize its potential — to relieve humans from mundane tasks, make life easier, and eventually invent entirely new solutions to our problems — computers will need to ...

In applications like routing, job scheduling, caching, etc., requests arrive sequentially, and the goal of the system is to handle requests as they arrive, while optimizing an appropriate overall ...

Martino’s first steps in research were firmly rooted in psychology. As an undergraduate, she studied mindset theory and ...

In recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks: data classification and clustering, pattern revealing, ...