MIAMI — The Atlantic hurricane season, which draws to an official close on Sunday, fulfilled forecasts it would be an active year. There were 13 named storms and three Category 5 hurricanes. But, for ...
Abstract: Long-term time-series forecasting (LTSF) is gaining increasing attention due to its significant challenges and real-world applications. However, existing studies underexplore the role of ...
This project provides a modern, well-structured implementation of hierarchical time series forecasting methods. It supports various forecasting algorithms (ARIMA, Prophet, LSTM) and reconciliation ...
Abstract: Energy forecasting plays a vital role in smart grid technology frameworks for monitoring power systems, including energy generation and consumption systems. As a downstream task of time ...
In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...
The hierarchical reasoning model (HRM) system is modeled on the way the human brain processes complex information, and it outperformed leading LLMs in a notoriously hard-to-beat benchmark. When you ...
This repository contains code and data processing workflows for analyzing the performance of the Hydrologic Ensemble Forecast Service (HEFS) at the California–Nevada River Forecast Center (CNRFC). The ...
This New AI is 100x Faster at Reasoning Than ChatGPT Your email has been sent The tiny Hierarchical Reasoning Model mimics the brain’s structure to solve complex tasks in a single pass — no ...
Singapore-based AI startup Sapient Intelligence has developed a new AI architecture that can match, and in some cases vastly outperform, large language models (LLMs) on complex reasoning tasks, all ...
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