Stanford researchers have developed an AI that can predict future disease risk using data from just one night of sleep. The system analyzes detailed physiological signals, looking for hidden patterns ...

A study led by a University of Calgary researcher has come up with an AI-based early detection system for river-borne pathogens—including whirling disease in trout and salmon.

Abstract: For prior-knowledge-informed scenarios, this article proposes a radar signal deinterleaving method based on hidden Markov chains and residual fence networks (RFNs) with enhanced ...

Abstract: In this letter, we propose the B-GHF framework, an end-to-end collision state inference method based on a Bayesian framework that does not rely on external force/torque (F/T) sensors in the ...