"The GT-R is not a supercar for a select few; it is a supercar for everyone, built to be enjoyed anywhere, anytime, by anyone." --Nissan skyline This repository contains the official PyTorch ...
On social media, even the weather isn’t safe from artificial intelligence slop. When Hurricane Melissa devastated Jamaica this summer, for example, phony AI-generated videos fooled some people into ...
Cloud-Native Multivariate Probabilistic Forecasting for Next-Generation Resource Allocation in O-RAN
Abstract: Effective resource allocation in telecommunication networks can benefit from accurate demand forecasting to optimize performance and prevent inefficiencies such as resource over-provisioning ...
AI market forecasting is reshaping how organizations anticipate demand, risk, and opportunity by processing massive volumes of structured and unstructured data in near real time. Modern systems ingest ...
Traditional long-term forecasting models are no longer sufficient as electrification, DER growth, EV adoption, extreme weather events and new large loads introduce unprecedented complexity. The future ...
Corporate income tax (CIT) collections are among the most difficult revenues to forecast—even with adequate staffing, comprehensive data, and a stable tax design. In practice, forecasting units ...
Move over fortune-tellers, Google DeepMind and Google Research have launched yet another impressive leap in AI prediction. The new system, WeatherNext 2, is the company’s latest upgrade in AI-powered ...
Will the world still need economists in 2030? With skin in the game, we certainly hope so — but artificial intelligence is already transforming economic analysis. In our own work — and in a review of ...
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