Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Yeastar P-Series PBX System Reviews & Ratings
    116 Ratings
    Company Website
  • RaimaDB Reviews & Ratings
    12 Ratings
    Company Website
  • Kantata Reviews & Ratings
    2,341 Ratings
    Company Website
  • Gemini Enterprise Agent Platform Reviews & Ratings
    1,161 Ratings
    Company Website
  • SKU Science Reviews & Ratings
    16 Ratings
    Company Website
  • OptiSigns Reviews & Ratings
    8,462 Ratings
    Company Website
  • InEight Reviews & Ratings
    168 Ratings
    Company Website
  • CompanyCam Reviews & Ratings
    5,585 Ratings
    Company Website
  • Runn Reviews & Ratings
    37 Ratings
    Company Website
  • Martus Reviews & Ratings
    187 Ratings
    Company Website

What is TimesFM-3?

TimesFM-3 is an innovative foundation model for time series analysis, distinguished by its capability to deliver highly accurate multivariate forecasts with a single forward pass. With a substantial framework of 330 million parameters, this model has been pre-trained on an extensive dataset comprising both real-world and synthetic time series information, accumulating over 1 trillion time points, which significantly bolsters its effectiveness and zero-shot generalization compared to its predecessors. It excels at simultaneously forecasting multiple coevolving time series while effectively recognizing dependencies that enhance predictive accuracy without necessitating task-specific fine-tuning. Additionally, it is designed to handle various forecasting objectives, including point and quantile predictions, and takes into account both historical covariates and dynamic covariates related to future scenarios, such as planned promotions, holidays, or shifts in weather. Employing a decoder-only transformer architecture, TimesFM-3 adeptly processes sequential data in chunks of 32 time steps, utilizing alternating causal temporal attention and full variate attention to seamlessly weave together patterns across time and interconnected series. As a result, this model serves as a powerful resource for forecasting intricate, time-dependent phenomena across diverse applications, making it a significant advancement in the field of time series forecasting. Its versatility and precision open up new avenues for exploration and application in various domains.

What is Odyssey-3?

Odyssey-3 is a sophisticated foundational world model and dynamic system designed to predict the movement and interactions of objects in space while monitoring the progression of various scenarios over time. By leveraging an autoregressive diffusion transformer, it effectively captures representations tied to physics, dynamics, and cause-and-effect principles from a vast array of visual data, allowing it to simulate environments adeptly and formulate strategies for managing physical systems. In addition, Odyssey-3 can generate immersive environments based on user input and swiftly forecast how these settings evolve in response to actions taken by individuals or agents, incorporating both first-person and third-person navigation options alongside adaptable camera controls. The extensive knowledge of the world that it acquires can be customized for various systems through the retraining of an action decoder or policy using correlated data of observations and their respective actions. Even when provided with minimal task-specific data, Odyssey-3 has proven its effectiveness in controlling robotic arms, enabling humanoid robots, operating vehicles, and producing synchronized multi-sensory experiences. Moreover, it is adept at facilitating interactive experiences that bolster user engagement and comprehension, making it a versatile tool across multiple domains. Its ability to adapt to different contexts only further enhances its potential applications in real-world scenarios.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

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

Company Facts

Organization Name

Odyssey

Date Founded

2023

Company Location

United States

Company Website

odyssey.systems/meet-odyssey-3

Categories and Features

AI Models

Not specified

Foundation Models

Not specified

Categories and Features

AI World Models

Not specified

Foundation Models

Not specified

Popular Alternatives

Popular Alternatives

CodeQwen Reviews & Ratings

CodeQwen

Alibaba
Odyssey-2 Pro Reviews & Ratings

Odyssey-2 Pro

Odyssey ML
Kimi K2 Reviews & Ratings

Kimi K2

Moonshot AI
Odyssey Reviews & Ratings

Odyssey

Odyssey ML
Qwen-7B Reviews & Ratings

Qwen-7B

Alibaba
FLUX 3 Action Reviews & Ratings

FLUX 3 Action

Black Forest Labs