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 ...

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...

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 ...

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 Center for Cyberspace Studies, Nasarawa State University, Keffi, Nigeria. 2 Department of Computer Engineering, Nile University of Nigeria, Abuja, Nigeria. 3 Department of Public and International ...

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, ...

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