Inspired by Spatio-Temporal Tracking paradigms, we leverage LiDAR data to track pedestrians in 3D space.

Inspired by language model for recommendation, we leverage Ada2 model to build a personalized ArXiv recommendation system.

Demo Check out the presentation video Documents Check out the paper Previous Next     / [pdf] View the PDF file here.

Introduction A simple 4 layers MLP with 384 hidden units per layer is used to memorize a single image with positional encoding. The MLP is trained with a MSE loss function and Adam optimizer.

Incorporating AI in the diagnostic process can also help doctors ask more relevant and targeted questions, leading to a more efficient and accurate assessment of the patient’s condition.

Transformers are models that process sequence data and output sequence data. They are used in many NLP tasks, such as machine translation, text summarization, and question answering. In this post, we will focus on how Transformer works in machine translation.

This article provides an introduction to multithreading and the concurrent.futures module in Python, along with examples of how to use them effectively. Multithreading is a technique that allows multiple threads of execution to run concurrently within a single program.