Tech Xplore

New RoboReward dataset and models automate robotic training and evaluation

The advancement of artificial intelligence (AI) algorithms has opened new possibilities for the development of robots that ...
eLife

Separating selection from mutation in antibody language models

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...
GitHub

nyc-open-data

Identified data types for each distinct column value on 1900 data sets. For each column, summarized semantic types present in the column, using Fuzzy Logic, Levenshtein distance. Identified & derived ...
IEEE

A Comparative Analysis of Human Activity Recognition Using Machine Learning and Deep Learning Techniques

Abstract: Human activity recognition (HAR) constitutes a significant subfield of artificial intelligence, addressing diverse problems such as improving human health and advancing innovative technology ...
IEEE

Machine Learning Techniques for Pose Based Human Activity Recognition

Abstract: Activity recognition is the task of identifying human actions and physical activities. It can have applications in broad areas including medical, sports and fitness, healthcare, behaviour ...