'Human in the Loop’ Learning (HITL), describes a setup whereby a learning machine or computer system can incorporate selected human inputs or labels into its inferences or learning process, and ...

Human-in-the-loop machine learning takes advantage of human feedback to eliminate errors in training data and improve the accuracy of models. Machine learning models are often far from perfect. When ...

Advanced practice nurse and trainee coach, Anna Young draws on a theory of ‘double loop learning’ – exploring how shifting ...

The talk below by CTO Bart Peintner of Loop AI Labs was presented at the Deep Learning Summit in Boston on May 26, 2015 and coincides with the launch of the Loop Cognitive Computing Platform. The ...

Deep learning has emerged as a transformative force in video coding, particularly in the realm of in-loop filtering, where it is employed to suppress compression artefacts and enhance visual quality.