Agents use facial recognition, social media monitoring and other tech tools not only to identify undocumented immigrants but ...
The absence of reliable data on fundamental economic indicators (e.g. real GDP), combined with structural shifts in the economy, can severely constrain the ability to conduct accurate macroeconomic ...
Toto is a foundation model for multivariate time series forecasting with a focus on observability metrics. This model leverages innovative architectural designs to efficiently handle the ...
We present a knowledge‐guided machine learning framework for operational hydrologic forecasting at the catchment scale. Our approach, a Factorized Hierarchical Neural Network (FHNN), has two main ...
This study reviews the advancements in AI-driven methods for predicting stock prices, tracing their evolution from traditional approaches to modern finance. The role of AI in the market extends beyond ...
Abstract: This paper introduces SparseTSF, a novel and extremely lightweight method for Long-term Time Series Forecasting (LTSF), designed to address the challenges of modeling complex temporal ...
Miami, FL, Jan. 05, 2026 (GLOBE NEWSWIRE) -- NextNRG, Inc. (NASDAQ:NXXT), a pioneer in AI-driven energy innovation transforming how energy is produced, managed, and delivered, today announced that ...
Abstract: One of the most exciting news from renewable energy sources is the breakthrough of photovoltaic energy, coupled with increasing demands for better energy management systems to integrate PV ...