Generated data that starts forgetting tail events can lead to a concentration of higher probability distributions, which causes a model to fail.

Will AI lead to a net increase or decrease in energy consumption, and what effect will that have on climate change?

Demonstrating how to have scientific rigor in developing a reliable prompt and getting a trustworthy response for a downstream application.

The evolution from simple LLM-powered assistants to systems with growing agentic capabilities marks a significant step towards more versatile and impactful AI.

Survey findings define the essence of risk in companies' business-technology plans and readiness.

Different presumptions underlie successive waves of AI research that claim intelligence via computation is within reach.

Shedding light on the future of programming in the age of generative AI.

Privacy, performance, and security benefits have everyone from academic computer scientists to technology giants racing to develop more efficient ways of pulling AI out of the cloud and closer to users.

DIMON works by solving a PDE over a template domain, then predicting new solutions on other domains that are diffeomorphic to the template.

The Rec4Agentverse paradigm for LLM-based agent platforms brings significant changes to recommender systems in areas such as user preference modeling and collaboration mechanisms.