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

ACM Fellows are selected by their peers for achieving remarkable results through their technical innovations and/or service to the field.

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

The ability of computers to learn on their own by using data is known as machine learning. It is closely related to ...

Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

FPMCO decomposes multi-constraint RL into KL-projection sub-problems, achieving higher reward with lower computing than second-order rivals on the new SCIG robotics benchmark.

The future of work will demand fluency in both science and technology. From addressing climate change to designing ethical AI systems, tomorrow’s challenges will require interdisciplinary thinkers who ...

AI's ability to monitor a warfighter's mental state, visuals or inner dialog may outpace the ability to shield that data from ...

AI and computer science education should be a requirement for all K-12 students, providing them with the knowledge and agency ...

AI"s inability to continually learn remains one of the biggest problems standing in the way to truly general purpose models. Might it soon be solved?

If your New Year’s resolution is to understand quantum computing this year, take a cue from a 9-year-old podcaster talking to ...