The @Fetch_ai project is as good as it gets 🥇

✅ Focused on Machine Learning and Artificial Intelligence
✅ Its founders worked with @DeepMind
✅ It uses a DAG (directed acyclic graph) - same as #IOTA
✅ +30,000 TPS (millions TPS possible)
"AI is not going to be a choice or an option. AI is going to be mandatory. You will need to do machine learning and AI tasks in order to survive."

@HMsheikh4 founder @Fetch_ai
ICYMI : @Fetch_ai $FET was added to @CoinbaseCustody in April 2020. Price surge potential when/if listed on @CoinbasePro https://twitter.com/CoinbaseCustody/status/1253715585822863362
ICYMI : @Fetch_ai have joined @Trusted_IoT - now part of the @IIConsortium - in February 2019, thus opening the door to collaborations with Bosch @BoschGlobal / Deutsche Telekom's T-Labs @T_Labs / Cisco @Cisco / and more.
ICYMI : @Fetch_ai's solution called 'My Easy Charge', co-developed with @T_Labs, @ShareCharge and @BoschGlobal, won the 1st Place in the Smart E-Mobility Challenge competition (2019).

https://www.iiconsortium.org/smart-emobility.htm
ICYMI : @Fetch_ai signed a memorandum of understanding (MoU) with Deutsche Telekom's T-Labs @T_Labs (Telekom Innovation Laboratories) in May 2019. This agreement will focus on machine-to-machine economy.
ICYMI : Maria Minaricova @MariaMinaricova, Head of Business Development at @Fetch_ai and Chair of the Board at @BlockchainforEU, making connections at the European Parliament in Brussels (Feb 2020). https://twitter.com/MariaMinaricova/status/1225321504633688064
ICYMI : 'My Easy Charge' VIDEO - 1st place winner in the Smart E-Mobility Challenge competition (2019).
Case Study : Hospitals - @Fetch_ai
Decentralized Taxi Network Demo - @Fetch_ai
Decentralized Train Network Demo - @Fetch_ai
Use Case : Car Parking Agents - @Fetch_ai
Case Study : What is the Future of IoT - @Fetch_ai
Use Case : How to Solve Car Parking with AI - @Fetch_ai
Head of software engineering Troels Rønnow discusses the @Fetch_ai Virtual Machine.
Head of software engineering Troels Rønnow discusses the @Fetch_ai Smart Ledger.
Head of research Jonathan Ward @jonathan6620 discusses the @Fetch_ai Trust Model.
One of the things I like the most about @Fetch_ai, on top of the Machine Learning and Artificial Intelligence aspects of it, is the fact that it's running on a DAG (directed acyclic graph) - same as #IOTA.

Blockchain 🆚 DAG : https://twitter.com/Kwontik/status/1133534818904530944
Autonomous Supply Chains | University of Cambridge - @Fetch_ai
Car Park Agents on a Raspberry Pi 4 - @Fetch_ai
"At @Fetch_ai we have been working on the finality problem, and are delighted to announce a cryptographic breakthrough that will enable dramatic improvements to the speed at which transactions are confirmed, while also increasing security."

➡️ https://fetch.ai/lightning-fast-consensus-becomes-a-reality-thanks-to-fetch-ai-breakthrough/
"The @Fetch_ai Decentralized Random Beacon (DRB) can be calculated at least 3⃣ times faster than in previous state-of-the-art Boneh-Lynn-Shacham (BLS) schemes, thereby increasing the maximal rate at which blocks can be created."

➡️ https://fetch.ai/lightning-fast-consensus-becomes-a-reality-thanks-to-fetch-ai-breakthrough/
"Etch is a high-level, statically-typed programming language designed for creating smart contracts on the @Fetch_ai ledger. The Etch language imposes rigorous compilation restrictions in order to avoid costly runtime errors. Its syntax is inspired by Rust, C++ and Python." 1/2
"If you are familiar with the Solidity language, you can try the @Fetch_ai transpiler - https://build.fetch.ai/solidity/  - to convert existing contracts to Etch." 2/2
AI-powered Smart Contracts

" @Fetch_ai achieved a world-first by running neural networks on smart contracts. Performing neural network construction, training, and operation on-chain are all possible and easy in a smart contract on the @Fetch_ai distributed ledger." 1/2
Synergetic Smart Contracts

" @Fetch_ai is building an infrastructure that provides decentralised solutions to complex coordination problems through a new type of contracts - called Synergetic Smart Contracts - that enable off-chain computation." 2/2
"Machine Learning in the @Fetch_ai ecosystem is supported by a TensorFlow-like Machine Learning library - developed by @Fetch_ai using fixed point arithmetic - that allows neural networks to be trained and run on or off-chain to suit the needs of your application."
You can follow @Kwontik.
Tip: mention @twtextapp on a Twitter thread with the keyword “unroll” to get a link to it.

Latest Threads Unrolled: