Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Evo 2 represents a cutting-edge genomic foundation model that excels in making predictions and designing tasks related to DNA, RNA, and proteins. It employs an advanced deep learning architecture that allows for the modeling of biological sequences with single-nucleotide accuracy, achieving impressive scaling of both compute and memory resources as the context length increases. With a robust training of 40 billion parameters and a context length of 1 megabase, Evo 2 has analyzed over 9 trillion nucleotides sourced from a variety of eukaryotic and prokaryotic genomes. This extensive dataset facilitates Evo 2's ability to conduct zero-shot function predictions across various biological types, including DNA, RNA, and proteins, while also being capable of generating innovative sequences that maintain a plausible genomic structure. The model's versatility has been showcased through its effectiveness in designing operational CRISPR systems and in the identification of mutations that could lead to diseases in human genes. Furthermore, Evo 2 is available to the public on Arc's GitHub repository, and it is also incorporated into the NVIDIA BioNeMo framework, enhancing its accessibility for researchers and developers alike. Its integration into existing platforms signifies a major step forward for genomic modeling and analysis.
Description
Odyssey-3 represents an advanced foundational world model and dynamic system that forecasts the movement and interaction of objects across space while tracking the evolution of various situations over time. Utilizing an autoregressive diffusion transformer, it captures representations related to physics, dynamics, and the principles of cause-and-effect from an extensive collection of visual data, enabling it to simulate environments effectively and develop strategies for managing physical systems. Additionally, Odyssey-3 is capable of creating immersive environments based on user prompts and can instantly predict how these environments shift in response to actions taken by individuals or agents, featuring both first-person and third-person navigation along with flexible camera controls. The extensive world knowledge it acquires can be tailored to various systems by retraining an action decoder or policy using paired data of observations and corresponding actions. Even with limited amounts of task-specific data, Odyssey-3 has demonstrated its utility in controlling robotic arms, powering humanoid robots, operating vehicles, and producing synchronized multi-sensory observations. Furthermore, it is capable of facilitating interactive experiences that enhance user engagement and understanding.
API Access
Has API
No
API Access
Has API
No
Integrations
Evo Designer
Yes
GitHub
Yes
Hugging Face
Yes
NVIDIA BioNeMo
Yes
Integrations
Evo Designer
No
GitHub
No
Hugging Face
No
NVIDIA BioNeMo
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
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)
No
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Arc Institute
Country
United States
Website
arcinstitute.org/tools/evo
Vendor Details
Company Name
Odyssey
Founded
2023
Country
United States
Website
odyssey.systems/meet-odyssey-3
Product Features
Product Features
Alternatives
Alternatives
No Alternatives