Older adults may find learning new languages challenging, but recent research shows the effort itself provides significant ...
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 ...
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 ...
Aim: Specific, Measurable, Achievable, Realistic, Time-bound (SMART) goals are commonly used in educational settings as a strategy to optimise learning. However, research and theory suggest that such ...
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 ...
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 study suggests that everyday multilingual habits—from chatting with neighbors to revisiting a childhood language—may help preserve memory, attention, and brain flexibility as we age. An ...
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