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Apr 27, 2023 8 tweets 4 min read Read on X
Last weekend we had the honour of holding a collaborative student #hackathon alongside @BoschGlobal with a focus on the future of mobility! 🚗⚡

Here's a recap thread of what happened! 🧵👇 Image
Firstly, all students were given a presentation on the evolution of #Web3 technology by @pbusch42 with an end focus on #AI Agents, Blockchain, and Data Oracles. 👨‍💻

This ensured all students were caught up with the importance of the technology and its real-world application! 🌐 ImageImage
Then, the students were informed of what the challenges of the #hackathon would be! 👀

This included 3 key parts:
➡ A Driving Performance Challenge
➡ An Agent Integration Challenge
➡ A Pitch & Demo of Solutions

Essentially, the first challenge the students needed to complete was:
✅ Write code to get a car to drive #autonomously
✅ Test code in a simulation environment (CARLA)
✅ Finalize the test with Bosch's 1:10 EV in the Ecosystem Demonstrator
The second challenge focused on the Microagents involved:
✅Integrate the agent with the car
✅Car agent informs the car it needs charging ✅Agent suggests finding the most economical route
✅Car agent communicates with charging agents
✅Books a slot to charge
✅Update the route
You can check out some of the student presentation elements in this linked thread below to see how some teams used the simulated environment 👇
You can also see a video of one of the final results of all the pieces coming together to create an autonomous vehicle with agent interactions! 🤖👇
All-in-all, the #hackathon event was a great success, and we look forward to participating in creating similar events in the future! 👀

Thank you to everyone who participated, contributed and made this possible, and a big congratulations to all of the winners🙌

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More from @Fetch_ai

Nov 17, 2023
AI Agents ≠ LLMs 🤖

Though some LLMs may convince you they are AI Agents or similar to them, they're fundamentally different.

Agents are autonomous and perform specific tasks, while LLMs are advanced in language processing.

Let's dive into the differences 👇🧵
AI Agents are all about autonomy and interaction. They make decisions, negotiate with other Agents, and interact independently on your behalf🌐

While skilled in language, LLMs don't inherently act or decide beyond language tasks. They are limited to pre-exposed knowledge.
Decision-Making 🧠

AI Agents make choices based on set criteria using memory to improve their decisions, often in dynamic environments

LLMs? They're about choosing the correct language responses based on their training and the prompts provided
Read 7 tweets
Jun 9, 2021
Here is the much awaited announcement. We hope you are excited!
Without any further ado, Fetch.ai is proud to announce a collaboration with @iota 💥🤝

cointelegraph.com/news/fetch-ai-…
Core areas of collaboration include:

✅ Highly effective and efficient #data discoverability for Fetch.ai’s AEAs
✅ Encourage controlled data sharing between data producers and data consumers
✅ Establishing a #privacy preserving infrastructure within the industry
Read 7 tweets
Jul 28, 2020
So far in 2020 the Fetch.ai team has published 6 peer reviewed papers in internationally renowned publications

Here’s a quick overview of some of them - we are proud of our team and the important work they are doing
Trading Agent Competition with Autonomous Economic Agents / 19th International Conference on Autonomous Agents and Multiagent Systems
underline.io/lecture/119-tr…
Autonomous Economic Agents as a Second Layer Technology for Blockchains: Framework Introduction and Use-case Demonstration / 2020 Crypto Valley Conference - Economic and Financial Track
Read 8 tweets

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