Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

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 computational model of the brain based closely on its biology and physiology not only learned a simple visual category learning task exactly as well as lab animals, but even enabled the ...

Agentic AI challenges the foundational tenets of our legal frameworks, which have historically relied on clear lines of ...

Abstract: The primary objective of this study is to enable the end effector of robot manipulators driven by brushless DC motors (BLDC), subjected to model uncertainties, to track the desired ...

This study introduces a strategy for robotic peg-hole assembly designed to efficiently transfer skills from a human instructor to a robot, achieved through a series of demonstrations and training ...

Department of Rehabilitation Medicine, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education (MOE), West China Second University Hospital, Sichuan ...

ABSTRACT: This paper focuses on engagement dynamics among foreign language students in coping within an immersive pedagogy in a tablet mobile assisted language learning (t-MALL) classroom ecology.

ABSTRACT: This paper focuses on engagement dynamics among foreign language students in coping within an immersive pedagogy in a tablet mobile assisted language learning (t-MALL) classroom ecology.