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features
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Description

Hyperdrive represents a cutting-edge data processing system designed for sophisticated process control applications. It efficiently handles millions of data points associated with each batch or operational run. The system automatically verifies, aligns temporally, and enhances the data as necessary. Based on the specific requirements, the refined and synchronized data can be utilized with a selection of analytical tools aimed at predictive maintenance, virtual metrology, and advanced process control. Notably, Hyperdrive's scalability and flexibility position it as an invaluable resource, transforming predictive analytics and process optimization across numerous sectors that aim to boost operational efficiency while reducing unexpected interruptions. After two years of dedicated research and development in partnership with industry leaders, Hyperdrive has demonstrated its effectiveness using actual fabrication data across various production settings. This innovative system empowers engineers to foresee and mitigate potential issues before they arise, thus fostering a proactive maintenance culture.

Description

TimesFM-3 represents an advanced time series foundation model that excels in highly precise multivariate forecasting with a single forward pass. This model, which consists of 330 million parameters, has undergone pre-training on a vast corpus of real-world and synthetic time series data, totaling over 1 trillion time points, thereby enhancing the effectiveness and zero-shot generalization capabilities seen in previous TimesFM iterations. It is adept at simultaneously predicting numerous coevolving time series and understanding dependencies that bolster accuracy without the need for task-specific fine-tuning. Furthermore, it accommodates multiple forecasting targets, including both point and quantile predictions, and incorporates past covariates that are only available historically, alongside dynamic covariates that pertain to future events such as planned promotions, holidays, or weather changes. Utilizing a decoder-only transformer architecture, TimesFM-3 processes sequential data in segments of 32 time steps, employing alternating causal temporal attention and full variate attention to integrate patterns across both time and interrelated series effectively. As a result, it provides a robust tool for forecasting complex time-dependent phenomena in various applications.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Galaxy

Country

United States

Website

www.galaxysemi.com/products/hyperdrive

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

research.google/blog/timesfm-3-a-zero-shot-foundation-model-for-multivariate-forecasting/

Product Features

Engineering

2D Drawing No 
3D Modeling No 
Chemical Engineering No 
Civil Engineering No 
Collaboration No 
Design Analysis No 
Design Export No 
Document Management No 
Electrical Engineering No 
Mechanical Engineering No 
Mechatronics No 
Presentation Tools No 
Structural Engineering No 

Product Features

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