One common misconception is that people can be defined by government assistance programs or economic status, when in reality communities are made up of individuals from all backgrounds, professions, ...

We just can’t seem to help ourselves. Our current infatuation with multi-agent systems risks mistaking a useful pattern for an inevitable future, just as we once did with microservices. Remember those ...

Abstract: Recently, the topic of multi-view multi-label classification has aroused significant attention from scholars. Plenty of methods adopt an average weighting scheme to merge the features ...

Agent memory remains a problem that enterprises want to fix, as agents forget some instructions or conversations the longer they run. Anthropic believes it has solved this issue for its Claude Agent ...

Dr. Lin Dong on how language is a battleground in UK asylum debates, stigmatization distracting from real issues, and the path from judgment to understanding. In 2025, the UK's asylum debate has ...

Ricardo Beas of Buffalo, New York, had just finished remodeling his kitchen and decided to host a party at his home. During the gathering, a guest bumped into his newly installed LG electric range, ...

Abstract: In multi-label learning, each category label should be determined by its own specific features. However, as the number of features increases, it's become more challenging to capture ...