Older adults may struggle to learn a new language, but classes are a worthwhile exercise

Older adults may find learning new languages challenging, but recent research shows the effort itself provides significant ...
IEEE

Semantically-Guided Task Planning: Supervised Vision-Language-Action Model by Large Language Models

Abstract: Enabling robots to perform everyday tasks has become increasingly important. Task planning, which decomposes task instructions into executable action sequences, is crucial for equipping ...
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 ...
GitHub

Scaling Agentic Reinforcement Learning with a Multi-Turn, Multi-Task Framework

For a minimal example of how to use the environment framework, refer to examples/simple-calculator. For the environment and training data used in our paper, see AgentBench FC. For reproducing the ...

True agentic AI is years away - here's why and how we get there

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.