Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

A new Japan immigration policy plans stricter residency, citizenship and monitoring rules for foreigners—but the changes ...

Abstract: Multi-agent systems appear in a wide variety of fields and there have been several studies on multi-agent reinforcement learning. Dilemma problems are typical classes of multi-agent problems ...

ASER 2024 reveals a modest recovery in foundational literacy and numeracy among students post-COVID, highlighting ongoing ...

Purposeful play enables children to express ideas, build relationships and tackle problems in authentic contexts.

New research reveals why even state-of-the-art large language models stumble on seemingly easy tasks—and what it takes to fix ...

A new batch arrived at our Faculty again. Students representing almost all districts of the country remind me once again of the wonderful opportunity we have for promoting social and ethnic cohesion ...

Learning mathematics is much like learning a new language — it opens doors that were once closed. Rather than seeing ...

We’ve put together a list of some of the best books to learn programming languages, covering everything from writing clean ...

Large language models (LLMs) deliver impressive results, but are they truly capable of reaching or surpassing human intelligence?

Large language models (LLMs) deliver impressive results, but are they truly capable of reaching or surpassing human intelligence?

To make large language models (LLMs) more accurate when answering harder questions, researchers can let the model spend more time thinking about potential solutions. But common approaches that give ...