Community Newsletter (4–8 November)
11月 8, 2019
Here is Fetch.ai’s community newsletter for the week commencing 4 November. Stay up to date by following us on 推特.
Unveiling our car parking agent
This week we released a new video featuring more details about our innovative solution to save money, reduce congestion and protect the environment. We’ll be discussing more about how you can deploy this agent yourself very soon, so watch this space!
LMS Computer Science Colloquium 2019 (13 November, London)
Fetch.ai lead cryptographer David Galindo is speaking at this event organised by the London Mathematical Society Computer Science Committee. David will be discussing computer security in regards to blockchain technology and electronic voting.
Fetch.ai Cambridge Winter Warmer (13 November)
Sign up now to secure your ticket.
Fetch.ai London Winter Warmer (27 November)
If you can’t make our meetup in Cambridge, don’t worry — we’re also heading to the capital soon!
Join us in London to hear an exciting progress report as we prepare for the launch of our mainnet ?
Timetable revealed for the next staking auction
More than $2m worth of FET were staked in our first auction ?
Our next staking auction begins on Wednesday 13 November at 1pm GMT. Read our latest staking article to learn how we’ve fined-tuned the process to make it easier than ever to collect rewards.
Introducing Fetch.ai to the rail industry
Fetch.ai is a member of the Rail Industry Association ?
On Thursday night the organisation held their annual conference. During the event, this video showcased how our technology will deliver personalized journeys that are faster and more comfortable for passengers.
We look forward to collaborating with our industry partners in the months ahead.
Introducing Autonomous Economic Agents
Autonomous Economic Agents (AEAs) will radically change the way we live ⚡️
They act on behalf of their owner and autonomously perform tasks, acquire new skills and give individuals the opportunity to own their personal data. Through our open source platform, anyone can build agents.
Find out more about how AEAs operate and what they enable in the IoT economy by watching this short video.
Finding weather data using Fetch.ai autonomous agents
Fetch.ai agents conduct economic activity on your behalf. To do so they must find each other, connect and negotiate.
In our new use case, we show how Autonomous Economic Agents (AEAs) operate. In this example, Charlotte (who lives in Cambridge) uses an agent to find out about the weather in London ⛅️
This is the first in a series of posts looking at the AEA transaction process, so please let us know what you think!
Explaining Fetch.ai’s energy market optimization
Fetch.ai machine learning scientist Yujian Ye has recently contributed to two papers that show how strategic bidding in deregulated electricity markets can be enhanced.
Current models no longer provide accurate insights. Our technology provides the solution ?
AMA with CryptoPlayers
On Wednesday CTO Toby Simpson took part in another very successful AMA. Thank you to every involved — we received some great questions!
Visit our Telegram channel to see if you’re one of the 10 lucky winners who will receive 500 $FET each. If you’re not, don’t worry — we will be holding another AMA very soon.
- Written and deployed software similar to Chaos Monkey to test the robustness of our network
- Developed implementation to increase network security
本周，除合并外有 13 authors 已经提交 38 commits 到主分支以及 42 commits 在所有分支。在主分支上， 719 files 已更改，有 41,040 additions 和 5,476 deletions. 查看所有更新.
Help us improve the reliability and performance of our network. 查找和报告技术问题 就可获得$FET ?奖励。
?查找技术问题在Fetch.ai的 GitHub ledger repository