Machine Learning Achieves Runtime Optimisation For GEMM With Dynamic Thread Selection
General Matrix Multiplication (GEMM) forms a cornerstone of modern scientific computing, yet achieving peak performance on multi-core systems remains a...
Learning methods
Assessing Superheroes Social Skills in Autistic Preschoolers
In a groundbreaking study published in the Journal of Autism Spectrum Disorders, researchers have delved into the efficacy of a...
Machine learning-assisted mapping of VT ablation targets: progress and potential
Ventricular tachycardia (VT) remains a leading cause of sudden cardiac death, even in the era of implantable defibrillators and catheter...
Heisenberg-limited Hamiltonian Learning Achieves Optimal Scaling With Static Single-Qubit Fields
Determining the Hamiltonian that governs a quantum system represents a fundamental challenge in quantum sensing and device characterisation. Shrigyan Brahmachari,...
Decentralized Federated Learning Enables Privacy-Preserving Computer Vision On Edge Devices
The increasing reliance on machine learning introduces significant privacy concerns as collaborative model training often requires access to sensitive data....
Exploring Machine Learning in Strabismus Surgery Predictions
In a groundbreaking study published in the journal Discov Artif Intell, researchers from an acclaimed medical institution have delved deeply...
