The Lancet

Deep learning for H&E-based meningioma molecular classification and outcome prediction: a retrospective cohort study

To our knowledge, this study is the first to apply deep learning models that can, beyond diagnosis, identify molecular subtypes and predict outcomes in a single brain tumour entity (meningioma) using ...
IEEE

Developing an EEG-Based Emotion Recognition Using Ensemble Deep Learning Methods and Fusion of Brain Effective Connectivity Maps

Abstract: The objective of this paper is to develop a novel emotion recognition system from electroencephalogram (EEG) signals using effective connectivity and deep learning methods. Emotion ...
Spiceworks on MSN

IT job watch: Machine learning engineer

Machine learning engineer is one of the most in-demand IT career categories right now. That reality is thanks to the rapid ...
Tech Times

Open Source Robotics AI Reaches Inflection Point: LeRobot Hub Surpasses 58,000 Datasets in One Year

Open source robotics AI platform LeRobot surpassed 58,000 community datasets in 2026 — 50x growth in under a year — making it the largest dataset category on Hugging Face and signaling a ...
IEEE

BND*-DDQN: Learn to Steer Autonomously Through Deep Reinforcement Learning

Abstract: It is vital for mobile robots to achieve safe autonomous steering in various changing environments. In this paper, a novel end-to-end network architecture is proposed for mobile robots to ...