Open Heart

Machine learning-based cardiovascular risk calculator for non-cardiac surgery

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
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 ...
Scientific Research Publishing

Performance of Different Machine Learning Algorithms for Credit Risk Classification ()

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 ...
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 ...
Hosted on MSN

Convert Decimal to Binary in Python (from scratch)

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...
The New York Times

Head of S.E.C.’s Crypto Task Force Says ‘Tokenized’ Stocks Are Securities

Hester M. Peirce said in a statement Wednesday that digital versions of stocks are still subject to federal securities laws. By Matthew Goldstein The head of the Securities and Exchange Commission’s ...
IEEE

Augmentation in a Binary Text Classification Task

Abstract: - The purpose of this paper is to investigate the effect of different kinds of augmentation on the binary text classification performed by different transformer models. Augmentations were ...
GitHub

AQI Prediction and Sky Image Classification Using a Multi-Task CNN

This repository contains the implementation of a robust multi-task learning model designed to analyze images for air quality. The model simultaneously performs two tasks: Binary Classification: It ...
IEEE

Fatigue and Task Load Dependent Decision Referrals for Joint Binary Classification in Human-Automation Teams

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 ...
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, ...