GitHub

Unified Training of Universal Time Series Transformers

Aug 2025: Released Moirai-2.0-R-small. Aug 2025: Enhanced the fine-tuning module and added examples for running on LSF benchmark. Nov 2024: The first general time series forecasting benchmark ...
GitHub

Unified Training of Universal Time Series Transformers

Uni2TS is a PyTorch based library for research and applications related to Time Series Forecasting. It provides a unified framework for large-scale pre-training, fine-tuning, inference, and evaluation ...
The Verge

The largest power grid system in the US is considering rolling blackouts because of energy-hungry data centers.

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IEEE

Data-Based Hybrid Tension Estimation and Fault Diagnosis of Cold Rolling Continuous Annealing Processes

Abstract: The continuous annealing process line (CAPL) of cold rolling is an important unit to improve the mechanical properties of steel strips in steel making. In continuous annealing processes, ...
Seattle Times

States are rolling out red carpets for data centers. But some lawmakers are pushing back

HARRISBURG, Pa. (AP) — The explosive growth of the data centers needed to power America’s fast-rising demand for artificial intelligence and cloud computing platforms has spurred states to dangle ...
Analytics Insight

Data Analysis with Python: Using Pandas, NumPy, and Matplotlib

Data analysis is an integral part of modern data-driven decision-making, encompassing a broad array of techniques and tools to process, visualize, and interpret data. Python, a versatile programming ...
IEEE

Rolling Detection Event-Triggered Output Regulation for Switched Interval Type-2 Fuzzy Systems Against Data Integrity and Derivative Injection Attacks

Abstract: This article explores the output regulation (OR) problem for interval type-2 (IT2) switched fuzzy systems (IT2-SFSs) vulnerable to data integrity and derivative injection attacks (DIDIAs).