Explore how AI predictive analytics reshapes industries by providing insights, forecasting trends, and enhancing ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses stochastic gradient descent, one of two ...

Sai Krishna's work in text mining has earned him well-deserved recognition within his organization. His development of an RShiny-based machine learning workbench was a game-changer, leading to ...

The disease is known for its strong association with climatic variables, especially excessive rainfall, high humidity, and ...

Escape algorithm fatigue with 30 genuinely mind-bending films hiding in streaming queues. From micro-budget time travel to ...

Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

This is a well-written study that presents a solid genetic screen to identify regulators of adipose morphology and remodeling in zebrafish. The authors generated a rigorous screening platform based on ...

This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

BACKGROUND: Primary aldosteronism (PA), an overt form of renin-independent aldosterone production, leads to a disproportionately high rate of major adverse cardiovascular events (MACEs). Mounting ...

Objectives Cardiopulmonary involvement (CPI) is a major cause of morbidity and mortality in systemic sclerosis (SSc). The 6 min walk test (6MWT) is widely used to assess functional capacity, but its ...

We take a deep dive into the inner workings of the wildly popular AI chatbot, ChatGPT. If you want to know how its generative ...