Traditional algorithms power complicated computational tools like machine learning. A new approach, called algorithms with predictions, uses the power of machine learning to improve algorithms.

Recent survey delivers the first systematic benchmark of TSP solvers spanning end-to-end deep learners, hybrid methods and ...

Algorithms have been used throughout the world’s civilizations to perform fundamental operations for thousands of years. However, discovering algorithms is highly challenging. Matrix multiplication is ...

Who is the Master's in Artificial Intelligence and Machine Learning program for? Drexel’s College of Computing & Informatics' Master of Science in Artificial Intelligence and Machine Learning (MSAIML) ...

A broad survey of the computer science discipline, focusing on the computer's role in representing, storing, manipulating, organizing and communicating information. Topics include hardware, software, ...

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 ...

Sachdeva’s breakthrough challenges one of the most studied problems in computer science, known as maximum flow, which ...

For school leaders, artificial intelligence (AI) might feel like the latest shiny new thing to tackle in education. With ethical questions to reflect on, it may be shiny, but computer science teachers ...

Deep learning is a branch of machine learning based on algorithms that try to model high-level abstract representations of data by using multiple processing layers with complex structures. Some ...

For school leaders, artificial intelligence might feel like the latest shiny new thing to tackle in education. With ethical questions to reflect on, it may be shiny, but computer science teachers will ...

Computing is part of everything we do. Computing drives innovation in engineering, business, entertainment, education, and the sciences—and it provides solutions to complex, challenging problems of ...

Outgoing Northwestern Computer Science PhD students Chenkai Weng and Peng Kang and postdoctoral fellows Hedyeh Beyhaghi, Angelos Chatzimparmpas, Eric Evert, Yiding Feng, Suprovat Ghoshal, Saurabh ...