Abstract: Evolutionary multi-task optimization is an emerging research topic in the field of evolutionary computation. It aims to achieve simultaneous optimization of different tasks by dynamically ...

Government is the greatest enemy of freedom. We have known this since childhood. But the government has grown tentacles — ...

Abstract: With the rapid growth of the on-demand economy, logistics companies and merchants increasingly struggle to meet customer demands in dynamic and uncertain conditions. This paper studies the ...

TaskExp is a generic multi-task pre-training algorithm to enhance the generalization of learning-based multi-robot exploration policies. Our initial platform, MAexp, revealed limitations with MARL ...

Artificial intelligence is no longer a novelty on Instagram, it is the default setting. In response, Instagram boss Adam ...

UBTech has opened 2026 by taking its Walker S2 humanoid out of the lab and onto a tennis court, rallying live against a human ...

A new technique breaks Dijkstra's 70-year-old record: it finds routes faster in huge networks, changing graph theory forever.

AI leaders clash over AGI, with Hassabis calling the brain an approximate Turing machine, helping you grasp real design goals.

The future of AI depends on systems that can earn trust—not with marketing slogans, but with technical rigor. That future is ...

The rise of the AI gig workforce has driven an important shift from commodity task execution to first-tier crowd contribution ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a chatbot is more humanlike and aware than it actually is, like believing it's ...

Clinical trials underrepresent women, children, and adults aged 65 years or older, so diabetes guidelines must be adapted to ...