A team of researchers at the University of Miami has developed a global atmospheric modeling framework that blends powerful research capabilities with accessibility for students and scientists alike.

Abstract: This study delves into the prediction of stock prices in the Bangladesh stock market using advanced deep learning frameworks, with a particular focus on the Bidirectional Long Short-Term ...

Abstract: The global rise in energy demand has driven the large-scale integration of photovoltaic systems into the power grids, increasing the need for accurate forecasting models to manage solar ...

AI in healthcare and other industries won’t fly unless compliance is baked in from day one — not bolted on after.

As AI data centers use more electricity, the solar industry is ramping up to provide more power. Supreme Court issues major announcement Veteran journalist: Epstein’s client list is in plain sight ...

AI infrastructure is hitting a power wall, and Microsoft believes the solution lies in technology borrowed from smartwatch displays. While power efficient, traditional copper links have a limited ...

Top Biden administration officials questioned and criticized the way the former president’s team handled pardons and made use of an autopen in the waning days of his White House term, a report said, ...

Higher artificial sweetener intake was linked with faster cognitive decline in middle-age adults. No association emerged between sweetener use and decline in people ages 60 and older. Cognitive ...

Existing forecasting methods often force a trade-off: either train a highly specialized model for each site (which is costly and doesn't scale) or adapt a large, general-purpose model (which can be ...

Forecasting the price of electricity is never straightforward. Weather patterns, the level of reserve capacity, plant outages, fluctuations in fuel prices and the vagaries of hydro reservoirs, among a ...