When I write on Note every day, sometimes I find that I have nothing I want to write about. So, I decided to stop forcing myself to write. Instead, I decided to have my AI partner choose the perfect ...
This is the code repository for the paper "Graph Attention-Guided Search for Dense Multi-Agent Pathfinding" introducing LaGAT. LaGAT combines a neural policy heuristic, an enhanced MAGAT+ model, with ...
News: We released a more general-purpose LM-GNN reasoning framework, MHGRN, which includes more options for text/graph encoders. It also matches the current state-of-the-art performance (76.5% acc) on ...
This important study describes the function of Laminin y1-dependent basement membranes in development of the olfactory placode, including morphogenesis of the placode, boundary formation, and ...
Abstract: Pathfinding is widely applied when encountering autonomous driving, mobile robot pathfinding, and so on. Traditional pathfinding algorithms have certain limitations such as high ...
Artificial Intelligence with hands-on exercises: maze-solver, crawling robot and emotion recognition
Abstract: Artificial Intelligence (AI) is a pivotal technology with diverse applications in fields such as algorithm design, robotic automation, image processing, and machine learning. This paper ...
In this paper, we present a place cell based path planning algorithm that utilizes spiking neural network (SNN) to create efficient routes for drones. First, place cells are characterized by the leaky ...
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