This paper proposes DRL-ED-TSPP, a deep reinforcement learning (DRL) model with an Encoder-Decoder architecture, to solve the Traveling Salesman Problem with Profits (TSPP) for sustainable cultural ...

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

A new report from the Presidential Task Force on Combating Antisemitism and Anti-Israeli Bias highlights Harvard's anti-semitism problem.

When leaders have misconceptions of what empathy entails, they don’t know how to practice it—or they practice it badly. Many don’t bother to intentionally lead with empathy at all, and the ...

An anomaly has forced the Japanese asteroid-sampling spacecraft Hayabusa2 into protective "safe mode" while journeying through deep space on its extended mission.

Nathan Fielder tackles commercial airplane travel in Season 2, but trying to solve this massive problem doesn't always bring more comedy.

Cooped up at home over the following months, he wrestled with the problem’s implications for complexity theory. Eventually he and his colleagues published a paper about search problems that are ...

Lillard, who was sidelined last week with a deep vein thrombosis in his calf, could reportedly return to the court sooner than expected.

The Trump NSC’s accidental leak to The Atlantic should force a rethink of the body’s role in crafting American foreign policy.

Preferred Networks is a little-known name outside of Japan, but the Toyota-backed artificial intelligence unicorn has big plans to use deep learning to fix "real-world" issues — with the end ...