Community Newsletter (13–24 July)
7月 24, 2020
Here is Fetch.ai’s community newsletter for the two weeks commencing 13 July 2020. Stay up to date by following us on 推特.
Highlight of the fortnight
Fetch.ai unveils interoperability vision with new virtual machine
We are pleased to announce a major interoperability upgrade, allowing our technology to be delivered across multiple blockchain platforms ?
Version 2.0 of the Fetch.ai mainnet will be interoperable with the Cosmos Hub and other chains such as Ethereum via Cosmos’ IBC bridge.
Fetch.ai reveals new autonomous supply chain demo
Our latest use case showcases autonomous supply chains using Fetch.ai agents.
We’ve collaborated with the Institute for Manufacturing and the Distributed Information and Automation Laboratory research group at Cambridge University, Pitch-In IoT, Alexandra Brintrup and Liming Xu to show how wholesalers can monitor storage conditions in real-time ??
On Tuesday, Alexandra gave a presentation at the Connected Everything online conference, in which she discussed how Fetch.ai’s technology can introduce the benefits of decentralized multi-agent systems to enhance the freight industry.
Welcome to Agentland
We’re introducing a new test network for autonomous agents called Agentland ?
This is a key step in enabling agents to interact with applications across all blockchains and ledgers. You can find out more about how to build your own agent in this new world by reading our how-to-guide.
Version 0.5.1 and 0.5.2 of the Agent Framework launched
These updates have included a bunch of features, including a redesigned GUI and the transition of our demos to the new Agentland test network.
To find out what else has been improved, please read the release notes in Github.
Our population of autonomous agents is growing all of the time and we are pleased to announce that over the last fortnight we have surpassed 100,000 agents operating on the network ?
Collective learning framework launched to enable decentralized machine learning applications
We discussed the huge advantages of our collective learning framework in this article and the difference it can make in industries such as healthcare.
Our head of research Jonathan Ward has also published two blog posts outlining the power of collective learning. In the first he explains how society can benefit from the knowledge harnessed from large data sets — without giving away access to citizens’ private data.
In the second, Jonathan shares the details of how collective learning techniques will enable industries to achieve enormous improvements in efficiency without needing to rely on “Big Tech”.
Events and articles
Mobility use cases webinar
Thank you to everyone who joined Toby Simpson and Joshua Croft for the recent Fetch.ai mobility webinar.
We really appreciated having the opportunity to share our excitement about the progress we’ve made and to answer questions from the community. We’re looking forward to holding another webinar soon, so look out for the details!
CityAM outlines the potential of our technology
We have published two more articles on our bespoke media centre on the website of respected UK business publication CityAM. The first outlines how we can optimize travel, and the second describes our upcoming commodity trading platform, Mettalex.
Developers building on Fetch.ai discuss their work
This article, written by one of the Datarella team, includes details of how they used the Fetch.ai network to develop a proof of concept demonstrating some of the ways parking in congested cities could be significantly improved ??
Thanks for reading our update. We will leave you with this thought from the co-founder of Ethereum, Joe Lubin, about the coming age of autonomous agents…
We hope you have a wonderful weekend.