Communications of the ACM

Building Intelligent Agents with Neuro-Symbolic Concepts

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

90% Of Faculty Say AI Is Weakening Student Learning: How Higher Ed Can Reverse It

New research shows learning erosion is real—but evidence-anchored design, governance, and assessment can turn AI into an ...
Edutopia

Balancing Play-Based Learning With Literacy Mandates in Preschool

These strategies help teachers set up engaging and enriching opportunities for literacy exploration throughout the day.

MemRL outperforms RAG on complex agent benchmarks without fine-tuning

MemRL separates stable reasoning from dynamic memory, giving AI agents continual learning abilities without model fine-tuning ...
EurekAlert!

Explanation-based retrieval boosts grammatical error correction

Grammatical error correction (GEC) is a key task in natural language processing (NLP), widely applied in education, news, and ...
EurekAlert!

Insilico Medicine launches science MMAI gym to train frontier LLMs into pharmaceutical-grade scientific engines

New “AI GYM for Science” dramatically boosts the biological and chemical intelligence of any causal or frontier LLM, ...
IEEE

Multi-Agent Reinforcement Learning Based Idle-Aware Task Offloading in Dynamic Vehicular Networks With Partial Information

Abstract: Edge computing provides low-latency computational services for task offloading in vehicular networks. However, challenges such as dynamic transmission rates, resource limitations, and ...
IEEE

Optimized Task Offloading in Multi-Domain IoT Networks Using Distributed Deep Reinforcement Learning in Edge Computing Environments

Abstract: In the Internet of Things (IoT) networks, sensors, gateways, and services interoperate at different levels to provide services to the end users. IoT networks are deployed in different ...