Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...

Introduction Accurate preoperative assessment of lymph node metastasis (LNM) is a key determinant of treatment selection in early gastric cancer (EGC), particularly when choosing between endoscopic ...

In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...

Forests are central to climate mitigation, yet tracking how fast they grow over decades remains difficult. A new satellite-based approach reconstructs ...

Forests are central to climate mitigation, yet tracking how fast they grow over decades remains difficult. A new satellite-based approach ...

A new set of simple equations can fast-track the search for metal-organic frameworks (MOFs), a Nobel-Prize-winning class of ...

A new study utilizing artificial intelligence has identified specific behavioral patterns that predict alcohol preference in ...

Yann LeCun is a Turing Award recipient and a top AI researcher, but he has long been a contrarian figure in the tech world.

Traditionally APM relied on engineers building dashboards, logging and manual systems to trace performance issues. In the current age, the ever growing modern architectures make this approach ...