Hosted on MSN

Sleep Stage Classification with Python: EEG, Scikit-Learn & MNE

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!
Bloomberg L.P.

Bloomberg’s AI Researchers Publish 7 Papers at EMNLP 2025

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 ...
Visual Studio Magazine

Tsetlin Machine Binary Classification Using C#

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 = ...
GitHub

[Task] Drop support for Python 3.9

taskA OctoPrint related task that needs to be taken care of as part of a milestoneA OctoPrint related task that needs to be taken care of as part of a milestone Python 3.9 will be EOL come 2025-10-31.
Frontiers

Predicting molecular subtype in breast cancer using deep learning on mammography images

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, ...
marktechpost

From Pretraining to Post-Training: Why Language Models Hallucinate and How Evaluation Methods Reinforce the Problem

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

Dynamic Estimation of Mental Workload and Operator Accuracy for Time-Constrained Binary Classification Tasks

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 ...
Scientific Research Publishing

An Evaluation of Machine Learning Models for Threat Classification in IoT Devices ()

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 ...
Frontiers

Exploring LLM-powered multi-session human-robot interactions with university students

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, ...