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

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

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 ...

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.

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 ...

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

Why today’s AI systems struggle with consistency, and how emerging world models aim to give machines a steady grasp of space ...

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

The rise of artificial intelligence comes with risks and benefits for the mental health of humans, requiring a thoughtful, ...

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

The startup has partnered with Eli Lilly and enjoys the backing of some of Silicon Valley's most influential VCs.