This New AI Is Cracking the Hidden Laws of Nature

This new AI acts like a digital scientist, turning messy data into simple rules that explain how the world really works.
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) ...
GitHub

kentstone84/PyTorch-2.10.0a0

PyTorch 2.10 with native SM 12.0 compilation + Driver gatekeeping bypass + Triton compiler + Optimization suite for RTX 5090, 5080, 5070 Ti, 5070, and all future RTX 50-series GPUs.
GitHub

Non Linear Independent Components Estimation (NICE)

This project implements the models proposed in NICE: Non-linear Independent Components Estimation paper written by Laurent Dinh, David Krueger and Yoshua Bengio. The results of the models can be found ...
IEEE

Random Undersampled Digital Elevation Model Super-Resolution Based on Terrain Feature-Aware Deep Learning Network

Abstract: The digital elevation model (DEM) provides important data support for geographic information analysis. However, due to the limitation of measurement cost and complex terrain, the collected ...
C&EN

Artificial Neural Network and Non-Linear Regression-Based Optimization of the Degradation of Acid Black 52 Using Atmospheric Plasma Process

Laboratorio de Análisis y Sustentabilidad Ambiental, Escuela de Estudios Superiores de Xalostoc, Universidad Autónoma del Estado de Morelos, Ayala, Morelos 62715, Mexico ...