Explore the first part of our series on sleep stage classification using Python, EEG data, and powerful libraries like Sklearn and MNE. Perfect for data scientists and neuroscience enthusiasts!

At the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025) in Suzhou, China this week (November 4-9, 2025), researchers from Bloomberg’s AI Engineering group and its BLAW ...

1 Department of Information Technology and Computer Science, School of Computing and Mathematics, The Cooperative University of Kenya, Nairobi, Kenya. 2 Department of Computing and Informatics, School ...

1 Department of Breast Surgery, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China 2 School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, ...

Large language models (LLMs) very often generate “hallucinations”—confident yet incorrect outputs that appear plausible. Despite improvements in training methods and architectures, hallucinations ...

Abstract: Human cognitive states, such as mental workload, play a pivotal role in decision making processes within human automation teams. Although subjective measures of mental workload can be ...

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...

Abstract: We consider a human-automation team jointly solving binary classification tasks over multiple time stages. At each stage, the automation observes the data for a batch of classification tasks ...

1 Robotics Research Lab, RPTU Kaiserslautern-Landau, Department of Computer Science, Kaiserslautern, Germany 2 Center for Cognitive Science, RPTU Kaiserslautern-Landau, Department of Social Science, ...

This repository provides an efficient binary video classification pipeline using PyTorch, optimized for local GPU-enabled PCs. It includes preprocessing and model inference tools for classifying ...