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AWS activates Project Rainier: One of the world’s largest AI compute clusters comes online

The collaborative infrastructure innovation delivers nearly half a million Trainium2 chips in record time, with Anthropic scaling to more than one million chips by the end of 2025. Project Rainier, ...
IEEE

sQUlearn: A Python Library for Quantum Machine Learning [Focus: Quantum Software and Its Engineering]

Abstract: sQUlearn introduces a user-friendly, noisy intermediate-scale quantum (NISQ)-ready Python library for quantum machine learning (QML), designed for seamless integration with classical machine ...
GitHub

ecg-deep-learning-app

An AI-powered web application for predicting and monitoring heart disease using a hybrid Transformer–CNN deep learning model. The system allows patients, clinicians, and administrators to interact ...
C&EN

dpdata: A Scalable Python Toolkit for Atomistic Machine Learning Data Sets

School of Artificial Intelligence and Data Science, Unversity of Science and Technology of China, Hefei 230026, P. R. China Suzhou Institute for Advanced Research, University of Science and Technology ...
IEEE

Morphological Arrhythmia Classification Based on Inter-Patient and Two Leads ECG Using Machine Learning

Abstract: Arrhythmia is a heart disorder in which the heart beats irregularly. Electrocardiogram (ECG) has been widely used as a tool for detecting arrhythmias. However, the interpretation of ECG ...
GitHub

ECGTwinMentor simulates a digital twin of an ECG diagnostic system. Users can input or generate ECG parameters, choose a diagnosis they believe is correct, and compare it with ...

Version 1.0.0 consolidates the architecture, machine learning model, and multiplatform deployment strategy for educational and predictive use of ECG data. ECGTwinMentor simulates a digital twin of an ...