Knowledge representation is a fundamental aspect of AI, which allows machines to understand, think, and even make choices ...

The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...

Google Discover is largely a mystery to publishers and the search marketing community even though Google has published ...

To assess whether AI strengthens or weakens democracy, the study evaluates its impact across five core democratic criteria: ...

Reinforcement learning frames trading as a sequential decision-making problem, where an agent observes market conditions, ...

MIT researchers have designed silicon structures that can perform calculations in an electronic device using excess heat ...

"Welcome to the world of RDHNet, a groundbreaking approach to multi-agent reinforcement learning (MARL) introduced by Dongzi Wang and colleagues from the College of Computer Science at the National ...

This article is the first of a three-part series on artificial intelligence and the changing nature of evidence in New York ...

The casting of I Love LA co-star and Marty Supreme breakout Odessa A’Zion as Zoe Gutierrez in the A24 adaptation of Holly ...

The traditional approach to artificial intelligence development relies on discrete training cycles. Engineers feed models vast datasets, let them learn, then freeze the parameters and deploy the ...

Yann LeCun is a Turing Award recipient and a top AI researcher, but he has long been a contrarian figure in the tech world.