In this course, you’ll learn theoretical foundations of optimization methods used for training deep machine learning models. Why does gradient descent work? Specifically, what can we guarantee about ...

Abstract: Multivariate Time Series Classification (MTSC) has important research significance and practical value. Deep learning models have achieved considerable success in addressing MTSC problems.

Abstract: Multi-Floor navigation has become an increasingly important topic in the robotics research community. Among various approaches, 3D scene graphs have emerged as an effective tool for ...

Chemical reactions happen when atoms rearrange themselves, turning molecules into something new—like making medicines or new materials. But current AI methods still aren't good at guessing how ...

The project focuses on combining backend logic, mathematical processing, voice interaction, and database storage to simulate a functional assistant. It supports both text and voice input and can ...