The goal of this project is to teach AI to devise and implement better algorithms than human programmers. This is done in a self-play loop using language models (such as GPT) to generate and solve ...

So, you’re looking to get better at coding with Python, and maybe you’ve heard about LeetCode. It’s a pretty popular place to practice coding problems, especially if you’re aiming for tech jobs.

Motion planning(Path Planning and Trajectory Planning/Tracking) of AGV/AMR：python implementation of Dijkstra, A*, JPS, D*, LPA*, D* Lite, (Lazy)Theta*, RRT, RRT ...

The significant obstacles faced by those suffering from spinal disc illnesses are beyond the average individual’s comprehension. Orthopedic problems happen frequently, not just among athletes but also ...

Advanced Learning Algorithms: This course covers the theory and practice of advanced learning algorithms, such as deep learning, reinforcement learning, and online learning. You will learn how to ...

The problem of tensor completion has applications in healthcare, computer vision, and other domains. However, past approaches to tensor completion have faced a tension in that they either have ...

In technical interviews, the ability to solve Data Structure and Algorithm (DSA) problems efficiently is crucial. Employers seek candidates who can think critically, demonstrate problem-solving skills ...

We introduce ChillsDB the first validated database of audiovisual stimuli eliciting aesthetic chills (goosebumps, psychogenic shivers) in a US population. To discover chills stimuli “in the wild”, we ...

We developed a genetic algorithm tool allowing users to refine depictions of facial expressions until they reach what they think the expression reflecting a particular emotion should look like. The ...

Here we study the semantic search and retrieval problem in biomedical digital libraries. First, we introduce MedGraph, a knowledge graph embedding-based method that provides semantic relevance ...