This paper integrates the ideas of improved multivariate time series sampling and deep learning prediction model structure optimization, and proposes an optimized deep learning model framework under ...

TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's ...

Awesome Easy-to-Use Deep Time Series Modeling based on PaddlePaddle, including comprehensive functionality modules like TSDataset, Analysis, Transform, Models, AutoTS, and Ensemble, etc., supporting ...

A number of car models won't ring in the new year ... Spot a favorite car on this list? Now may be the time to act, but not all of these vehicles are saying goodbye for good.

This will be our next look at Honda’s 0 Series progress as it looks to bring these two initial models to market in ... and “Space-Hub.” At the time, Honda said the two concepts represented ...

Abstract: In prediction tasks, the single dendritic neuron models (DNMs) have achieved good results ... is evaluated through several real-world multivariate financial time series prediction tasks.

Tesla is turning some of its Foundation Series Cybertrucks into regular Cybertrucks to sell them and sending hundreds of US Cybertrucks to be homologated in Canada as it is having issues selling ...

“Their muscles reflexively swing the bat at the right time and location in line with their internal models’ predictions. They can quickly act on their predictions of the future without the ...