Starbucks is developing an AI ordering companion to help customers discover drinks through prompts, while supporting baristas ...

Abstract: Time-series forecasting (TSF) is becoming ubiquitous in numerous real-world applications. The loss function is a vital component of time-series forecasting models based on deep learning. The ...

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 ...

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

Abstract: Time series data permeates our daily existence and has been recognized as of significant importance for many sectors, such as energy, transportation, telecommunication, and health care.

for the realization of TDformer in the paper "First De-Trend then Attend: Rethinking Attention for Time-Series Forecasting", thank you very much xiyuanzh for most of the implementation of the code!

Science fiction fans can save big on a box set edition of one of the most popular series of the past decade. The first three books in Adrian Tchaikovsky's Children of Time series have been reissued in ...

Kareem is a veteran editor and writer with over 15 years of experience covering all forms of entertainment, from music to movies. He serves as a High Trending List Writer for Collider, covering all ...

Background Suicide rates have increased over the last couple of decades globally, particularly in the United States and among populations with lower economic status who present at safety-net ...