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features
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support

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Description

Bittensor is a decentralized, open-source protocol that enables a blockchain-powered network for machine learning. In this system, machine learning models collaborate in their training and earn TAO tokens based on the value of the information they contribute to the collective. Additionally, TAO facilitates external access, empowering users to retrieve data from the network while customizing its operations to suit their requirements. Our overarching goal is to establish a genuine marketplace for artificial intelligence, a space where both consumers and producers of this critical resource can engage within a framework characterized by trustlessness, openness, and transparency. This approach introduces a fresh, optimized methodology for the creation and dissemination of artificial intelligence technologies, taking full advantage of the distributed ledger's capabilities. In particular, it encourages open access and ownership, promotes decentralized governance, and allows for the effective utilization of globally-distributed computing power and innovative resources within a motivating and rewarding environment. As we continue to evolve, we aspire to foster a vibrant ecosystem that thrives on collaboration and shared success in the realm of AI.

Description

Hyperledger Indy offers a suite of tools, libraries, and reusable components that facilitate digital identities based on blockchains or distributed ledgers, ensuring their compatibility across various administrative domains, applications, and isolated systems. This technology not only works seamlessly with other blockchain solutions but can also function independently, thus enhancing the decentralization of identity management. It is a distributed ledger specifically designed for decentralized identity, with built-in resistance to correlation. The platform supports Decentralized Identifiers (DIDs) that are unique and can be resolved through a ledger without any need for centralized authorities. Additionally, Indy features Pairwise Identifiers, which establish secure one-to-one relationships between two entities. The verifiable claims it utilizes are formatted for efficient exchange of digital identity attributes and are currently being standardized by the W3C. Moreover, it incorporates Zero Knowledge Proofs, which allow for the validation of certain claims without disclosing any extraneous information, further enhancing user privacy and security. This multifaceted approach positions Hyperledger Indy as a robust framework for the future of identity management in a digital landscape.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

BlockSpaces No 
Consensys Quorum No 
Evernym Verity No 
Fujitsu Biometrics-as-a-Service No 
Hitachi Data Protection as a Service No 
IBM Cloud No 
NTT Cloud Communications No 
Oracle Cloud Infrastructure No 
Precisely Contracts No 
Quant No 
SAP Cloud Platform No 
Splunk Cloud Platform No 
Targon Yes 
Thales Sentinel No 
Wipro Cloud Studio No 

Integrations

BlockSpaces Yes 
Consensys Quorum Yes 
Evernym Verity Yes 
Fujitsu Biometrics-as-a-Service Yes 
Hitachi Data Protection as a Service Yes 
IBM Cloud Yes 
NTT Cloud Communications Yes 
Oracle Cloud Infrastructure Yes 
Precisely Contracts Yes 
Quant Yes 
SAP Cloud Platform Yes 
Splunk Cloud Platform Yes 
Targon No 
Thales Sentinel Yes 
Wipro Cloud Studio Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

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 Yes 
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 No 

Types of Training

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

Vendor Details

Company Name

Bittensor

Website

docs.bittensor.com

Vendor Details

Company Name

Hyperledger

Founded

2015

Country

United States

Website

www.hyperledger.org/use/hyperledger-indy

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Alternatives

Alternatives

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