Pulmonology Advisor

How Can AI Improve Cardiac Care Within Health Systems? A Conversation With Experts

Faraz Ahmad, MD, and Marie-Noelle Langan, MD, discuss the role of artificial intelligence (AI) for cardiac care within ...
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 ...

The facts about neuromyths in education

Let’s take a look at some of the most common neuromyths that help shape educational thinking. Myth 1: Students are either ...
IEEE

Enhancing Task-Incremental Learning via a Prompt-Based Hybrid Convolutional Neural Networks (CNNs)-Vision Transformer (ViT) Framework

Abstract: Artificial neural network (ANN) models are widely used in various fields such as image classification, multi-object detection, intent prediction, military applications, and natural language ...