Apple today introduced Apple Watch Series 11, offering the most comprehensive set of health features yet, longer battery life ...

AI and data are feeding each other — build the right strategy and you’ll unlock smarter decisions, better agility and a real ...

Machine learning (ML) has rapidly become one of the most influential technologies across industries, from healthcare and ...

We study adaptive (or online) nonlinear regression with Long-Short-Term-Memory (LSTM) based networks, i.e., LSTM-based adaptive learning. In this context, we introduce an efficient Extended Kalman ...

This study reveals for the first time the essential mechanism of tool-integrated reasoning through rigorous mathematical proof and develops a novel training algorithm that enables ... today is called ...

This research reveals, for the first time, the essential mechanisms of tool-integrated reasoning through rigorous ...

Background Machine learning based on clinical characteristics has the potential to predict coronary CT angiography (CCTA) findings and help guide resource utilisation.Methods From the SCOT-HEART ...

In this work, we introduce a method for few-shot open-set modulation classification utilizing signal constellation diagrams, based on a Meta Supervised Contrastive Learning (MSCL) algorithm. MSCL ...

In light of the recent school shooting in Minnesota, we've looked into how preventable these incidents are and how we can use tech in early detection of violent intentions.

Risk assessment plays a central role in the primary prevention of cardiovascular disease. The 2017 High Blood Pressure Clinical Practice Guideline incorporated quantitative risk assessment for the ...