April 29, 2026

Capitalizations Index – B ∞/21M

Attention Network crowdsale announced

Attention network crowdsale announced

Attention Network crowdsale announced

Attention network crowdsale announced

DISCLAIMER & RISK WARNING

This offer is based on information provided solely by the offeror and other publicly available information. The token sale or exchange event is entirely unrelated to TokenMarket and TokenMarket has no involvement in it (including any technical support or promotion). Token sales listed from persons that TokenMarket has no relationship with are shown only to help customers keep track of the activity taking place within the overall token sector. This information is not intended to amount to advice on which you should rely. You must obtain professional or specialist advice or carry out your own due diligence before taking, or refraining from, any action on the basis of the content on our site. Any terms and conditions entered into by contributors in respect of the acquisition of Tokens are between them and the issuer of the Token and TokenMarket is not the seller of such Tokens. TokenMarket has no legal responsibility for any representations made by third parties in respect of any Token sale and any claim for breach of contract must also be made directly against the Token issuing entity listed herein. Please refer to our website terms and conditions.

If you have any concerns about the nature, propriety or legality of this token sale or the persons involved in it please contact compliance@tokenmarket.net with detailed information about your concerns. Please also review our Sector Risk Warnings page here before you decide whether to commit any of your assets in respect of this product or service (or any other).

Published at Thu, 15 Feb 2018 15:42:08 +0000

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#217 Andrew Trask: OpenMined – A Decentralised Artificial Intelligence Platform

A significant part of the modern digital economy, is underpinned by machine learning models that are trained to perform tasks such as facial recognition, content curation, health diagnostics etc. Data to train machine learning models is the essential commodity of this century – a sentiment captured by epithets such as “”Data is the new oil””. Today’s dominant AI paradigm has companies focus their efforts on gathering data from their users in order to train models and monetise usage of the model. This model has many consequences such as loss of privacy for the user, consolidation of data in a handful of large companies, low access to data for startups and a fundamental impossibility of collecting sensitive data such as markers for depression.

Our guest, Andrew Trask, is building OpenMined – a platform that merges cryptographic techniques such as homomorphic encryption and multi-party computation and blockchain technology to create the ability to train ML models with private user data. OpenMined will allow AI companies of the future to develop models, have them trained on user data without compromising user privacy, and incentivise users to train their model. We walk through the OpenMined vision and its potential impact on AI business models and AI safety

Topics discussed in this episode:

  • Challenges with the current AI paradigm
  • OpenMined’s vision to allow training of AI models with private user data
  • How OpenMined works under the hood
  • Applications enabled by OpenMined
  • Current state and OpenMined hackathon

Links mentioned in this episode:

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Watch or listen, Epicenter is available wherever you get your podcasts.

Epicenter is hosted by Brian Fabian Crain, S?ƒbastien Couture & Meher Roy.