Abstract: Time-series forecasting plays a pivotal role in decision-making. Recently, as deep learning models have shown exceptional performance in time-series forecasting, research in the field of ...
Legacy load forecasting models are struggling with ever-more-common, unpredictable events; power-hungry AI offers a solution.
Cambodia is not alone in facing capacity limitations in the production and timely release of key official statistics needed for data-driven policy decisions. This paper demonstrates that combining ...
A lightweight framework that gives language models (LMs) a persistent, evolving memory during inference time. Dynamic Cheatsheet (DC) endows black-box language models with the ability to store and ...
A rather big surprise, as Dr. Patrick Staropoli has been selected as the driver for the No. 48 Big Machine Racing Chevrolet. He will replace Nick Sanchez, who had quite a rookie season, including a ...
Abstract: Accurate load forecasting is crucial for modern power systems but faces challenges like data scarcity, tool limitations, and lack of institutional support. Inaccurate forecasts lead to ...
We introduce PaCoRe (Parallel Coordinated Reasoning), a framework that shifts the driver of inference from sequential depth to coordinated parallel breadth, breaking the model context limitation and ...
Google is rolling out a beta experience that lets you hear real-time translations in your headphones, the company announced on Friday. The tech giant is also bringing advanced Gemini capabilities to ...
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