IEEE

Deep Learning Approaches for EEG-Motor Imagery-Based BCIs: Current Models, Generalization Challenges, and Emerging Trends

Abstract: This study critically examines the evolution of deep learning (DL) for electroencephalogram (EEG) based motor imagery (MI) decoding with a focus on real-time Brain Computer Interfaces (BCIs) ...
IEEE

Explainable Physical Deep-Learning Model for Overhead Transmission Line Icing-Thickness Prediction

Abstract: Global warming has resulted in frequent extreme-weather events, among which frequent ice disasters significantly threaten the stability of power systems. As the complexity of prediction ...
Computer Weekly

PyTorch Foundation lights up welcomes for Helion & Safetensors

The PyTorch Foundation also welcomed Safetensors as a PyTorch Foundation-hosted project. Developed and maintained by Hugging ...
Frontiers

Semi-Supervised Learning with Foundation Models for Biomedical Data Analysis: Multimodality, Generative AI, and Clinical Adaptation

Biomedical data analysis has evolved rapidly from convolutional neural network-based systems toward transformer architectures and large-scale foundation ...

Anthropic’s biggest AI leak yet: How Claude Code spill exposed secrets and sparked chaos

Anthropic accidentally leaked the full source code of Claude code, its flagship AI coding agent on March 31. The code was ...
TechAnnouncer

Navigating the Future: A Deep Dive into Quantum Programming Languages

Qiskit and Q# are major quantum programming languages from IBM and Microsoft, respectively, used for creating and testing ...