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

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

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

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

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.

AI tools are exposing hidden truths in art history, analyzing brushstrokes to reveal who really painted the world’s ...

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

Most rural Nebraskans are aware of the use of algorithms in online media and have some concerns about their use, according to ...

Results of a set of experiments found that individuals learning about a topic from large language model summaries develop ...

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

Scientists have long believed that foam behaves like glass, with bubbles locked into place. New simulations reveal that bubbles never truly settle and instead keep moving through many possible ...

When electricity or fuel powers a machine, the machine gets hotter. Finding new ways to cool machines quickly and ...