The Debrief

Robots Are Learning Complex Tasks by Watching Humans and Other Robots

A new kinetic intelligence framework allows robots to rapidly learn complex tasks by watching other robots without any human ...

AI’s New Training Data: Your Old Work Slacks And Emails

One company, AfterQuery, sells a series of off-the-shelf “worlds” to AI labs, with names such as “Big Tech World”, “Finance ...
eLife

New idtracker.ai rethinks multi-animal tracking as a representation learning problem to increase accuracy and reduce tracking time

Identification of each animal in a collective becomes possible even when individuals are never all visible simultaneously, enabling faster and more accurate analysis of collective behavior.

crypto tax

Check Latest Crypto Tax News, Recent Updates, Announcements in India on The Economic Times. Check everything you need to know ...
inforum

Besides Koi Perich, who’s leaving Gophers via the transfer portal?

The Minnesota Gophers football team has had 21 total players from its 2025 roster announce their intent to enter the transfer portal, which opened on Friday. There is one clear headliner — All-Big Ten ...
Scientific Research Publishing

Determination of the Degradation Index by Detection of Pavement Distress with Transfer Learning and Image Processing ()

1 Laboratory of Studies and Tests in Civil Engineering (L2EGC), National University of Sciences, Technologies, Engineering and Mathematics, Abomey, Benin. 2 Laboratory of Applied Energetic and ...
GitHub

Azure AutoML for Images - Image Classification

This repository contains Python notebooks demonstrating image classification using Azure AutoML for Images. These notebooks provide practical examples of building computer vision models for various ...
Frontiers

VAE deep learning model with domain adaptation, transfer learning and harmonization for diagnostic classification from multi-site neuroimaging data

The acquisition sites include: CALTECH, California Institute of Technology; CMU, Carnegie Mellon University; KKI, Kennedy Krieger Institute; LEUVEN, University of Leuven; MAX, Ludwig Maximilians ...
IEEE

Open Set Cross-Domain Hyperspectral Image Classification Based on Critical Reflective Learning Network

Abstract: Limited by the lack of supervisory information of unknown classes, the existing open set cross-domain hyperspectral image (HSI) classification methods often rely on threshold-based methods ...
IEEE

Transformer-Driven Active Transfer Learning for Cross-Hyperspectral Image Classification

Abstract: Hyperspectral image (HSI) classification presents inherent challenges due to high spectral dimensionality, significant domain shifts, and limited availability of labeled data. To address ...