In a recent advance, a multi-disciplinary team of researchers developed a machine learning framework that adapts to changes ...

The aim of the lab is to let students interact with and understand the technology behind AI-powered physical robots.

This valuable study introduces a self-supervised machine learning method to classify C. elegans postures and behaviors directly from video data, offering an alternative to the skeleton-based ...

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different ...

Develop future-proof tech skills even if you have no previous tech experience, such as data storytelling, Python, ChatGTP, ...

Abstract: The performance improvement of perception algorithms and integrated validation of driving decision making remains challenging in the fields of computer vision and intelligent ... utilizing a ...

简介：Google家在SimCLR自监督对比学习（contrastive learning）的loss结构基础上，延伸到有监督学习中 ...

Description: MLPs are the simplest form of deep neural networks, consisting of multiple layers of interconnected nodes or "neurons." They are capable of learning both linear and non-linear ...