Label-free optical imaging enables automated measurement of human white matter microstructure

White matter pathways allow distant parts of the brain to communicate, supporting memory, emotion, and language. One such ...

ChatGPT Image 2.0 Signals Visual Reasoning To Solve Real-World Tasks

ChatGPT Image 2.0 suggests that AI image generation is evolving into visual reasoning and verifiable AI, with implications ...
InfoQ

Deepfakes, Disinformation, and AI Content Are Taking Over the Internet

Shuman Ghosemajumder explains how generative AI has transformed from a creative curiosity into a high-scale tool for ...
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 ...
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 ...
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 ...
Frontiers

Automated classification of MESSENGER plasma observations via unsupervised transfer learning

Our methodology demonstrates a proof of concept of the applicability of transfer learning for heliophysics, a machine learning technique where knowledge learned from one task is reused to perform a ...