Continual Learning Achieves Reduced Forgetting Loss Via Joint Weight Optimisation
Scientists are tackling the persistent problem of ‘catastrophic forgetting’ in artificial intelligence, where machine learning models struggle to retain previously...
Achieves
Quantum Machine Learning Achieves 86.4% Accuracy Detecting Leukemia With 50 Samples
Detecting Acute Myeloid Leukemia (AML) from microscopic images of blood cells presents a significant challenge, but new research indicates quantum...
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...
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,...
Neuroevolution Achieves Optimized Chiral Metasurfaces, Advancing Nanophotonics Design
Designing chiral metasurfaces with precise optical properties presents a significant hurdle in nanophotonics, as their geometry and response are intricately...
Fmanet Achieves Robust Micro-expression Recognition Via Dual-Phase Optical Flow And Fusion Motion Attention Networks
Facial micro-expressions, fleeting indicators of true emotion, hold considerable promise for applications ranging from psychological assessment to security screening, yet...
