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healthcare

topic2 events
papersTODAY 04:00 UTC

arXiv Survey Reviews Self-Supervised Learning for Event Stream Data

A new arXiv paper surveys self-supervised approaches to modeling event stream data, the timestamped sequences generated by digital activity in areas such as healthcare, e-commerce, gaming, and finance. The authors argue for unified methods across these domains and outline remaining challenges and future directions. The work is positioned as a progress-and-prospects review rather than a new model or benchmark.

self-supervised/event-streams/survey/arxiv
papersSEP 11 04:00 UTC

Graybox machine learning approach applied to Bayesian quantum sensing

A new arXiv preprint describes a graybox machine learning method for Bayesian quantum sensing. The approach combines physics-informed modeling with data-driven components to improve how quantum sensors estimate parameters. It aims to address practical performance limits that keep quantum sensors from reaching their theoretical advantages in fields such as materials science and healthcare.

quantum/machine-learning/research/sensing