IEEE

Sample Efficient Deep Reinforcement Learning With Online State Abstraction and Causal Transformer Model Prediction

Abstract: Deep reinforcement learning (RL) typically requires a tremendous number of training samples, which are not practical in many applications. State abstraction and world models are two ...
Tech Xplore

Ferroelectric memory enables one chip to sample randomness and compute for generative AI

For the first time, a research team has demonstrated an artificial intelligence semiconductor technology that integrates the ...
Scientific Research Publishing

AI-Enhanced Problem-Based Learning in Pathology Technology: An OBE-Driven Triadic Model of Clinical Problem, AI Validation, and Research Innovation ()

AI-Enhanced Problem-Based Learning in Pathology Technology: An OBE-Driven Triadic Model of Clinical Problem, AI Validation, ...
IEEE

EV Charging Command Fast Allocation Approach Based on Deep Reinforcement Learning With Safety Modules

Abstract: Efficient real-time management of electric vehicle (EV) charging in a charging station (CS) is vital to the integration of large-scale EVs in power grids. It faces critical challenges such ...
Purdue University

Outcomes and Objectives

Learning outcomes and objectives are the fundamental elements of most well-designed courses. Well-conceived outcomes and objectives serve as guideposts to help instructors work through the design of a ...
GitHub

HimaxWiseEyePlus/Seeed_Grove_Vision_AI_Module_V2

This is a repository which step by step teaches you how to build your own examples and run on Seeed Grove Vision AI Module V2. Finally, teach you how to restore to the original factory settings and ...