EdgeAGI

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KeyvanMSadeghi
Project Owner

EdgeAGI

Expert Rating

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Overview

The key to unlocking mainstream adoption of AGI-specific hardware will be through its accessibility to the “maker” community. Today’s most popular SoMs are Raspberry Pi and Arduino, neither of which have top-of-the-line chips inside. They enjoy a high level of adoption due to the "Developer Experience". This proposal introduces a new form factor, Module-on-Footprint (MoF), and a specific application: homemade robot arms. We recently participated in a hackathon arranged by Hugging Face, where RL was deployed on 3D-printed robot arms. The outcome of this proposal is the design of an MoF, tailored to modern maker development processes, equipped with a chip from Taalas, Blumind or Tenstorrent.

RFP Guidelines

AGI related hardware

Internal Proposal Review
  • Type SingularityNET RFP
  • Total RFP Funding $80,000 USD
  • Proposals 6
  • Awarded Projects n/a
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SingularityNET
Oct. 4, 2024

This RFP seeks to explore and evaluate innovative hardware paradigms, ranging from small-scale IoT devices to large, decentralized systems, to optimize AGI workloads in the OpenCog Hyperon framework and handle advanced processes such as cognitive synergy and hyperdimensional computing. The focus is on assessing hardware paradigms and emerging architectures (e.g. neuromorphic processors, associative processors such as TensTorrent’s APU, etc). The goal is to enhance computational efficiency, scalability, and cognitive synergy in AGI systems. Part of this should involve interacting with the Hyperon team who've built the existing and in-development MeTTa interpreters.

Proposal Description

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Proposal Video

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  • Total Milestones

    4

  • Total Budget

    $80,000 USD

  • Last Updated

    7 Dec 2024

Milestone 1 - Preliminary study of the potential chips

Description

For each chip, with initial candidates being Blumind, Telaas and Tenstorren, the following steps: •Assess compatibility with MoF form, pen down specific requirements like thermal, low-power, module size, etc. • Explore current developer experience and community adoption • We are Toronto based thus have local access to all three initial candidates • Get warm intros and set up meetings with chip manufacturers through Raymond Chik This discovery phase will also explore if there are options in the market other than the 3 currently identified (e.g. if Untether AI is also an option) and go through the same steps if applicable.

Deliverables

Compile the findings and meeting minutes in a report, pros and cons of each option, ranking the options accordingly.

Budget

$20,000 USD

Success Criterion

At least one chip identified as suitable for adoption in an MoF form.

Milestone 2 - Feasibility study of the top two options

Description

Milestone Description • Acquire samples of the chips to conduct experiments (contingent on chip maker supplying samples) • Further explore the developer tooling around each option • Contact a client from each platform and enquire about their experience • Start studying how each each chip can be integrated with MeTTa • Cross reference own findings with MeTTa team

Deliverables

The candidate chip is finalized and confirmed by MeTTa team after studying Milestone 2 report.

Budget

$20,000 USD

Success Criterion

MeTTa team approves the selected chip.

Milestone 3 - Design MoF in Altium; publish as open source HW

Description

This is the engineering milestone of the project. • Design a system on module in MoF form, equipped with the selected chip • Run the design and manufacturability by our partner in Toronto, STIM Canada • Publish the Altium project on GitHub under MIT License

Deliverables

EdgeAGI MoF v1 design publicly available.

Budget

$20,000 USD

Success Criterion

STIM approves manufacturability of the design.

Milestone 4 - Integration with Hugging Face LeRobot project

Description

• Bring Remi Cadence from Hugging Face to the loop, we already established a relationship in the LeRobot hackathon • Define a joint project where our MoF is integrated in a LeRobot Arm build, and through the chip, MeTTa is used to demonstrate reasoning capabilities on edge hardware • Aim to find sponsors for building a prototype batch, to be sent to MeTTa and LeRobot teams Robotic Arm platform by LeRobot (SO-ARM100, at the time of writing): https://github.com/huggingface/lerobot

Deliverables

• Start of the collaboration between the MeTTa and the Hugging Face LeRobot teams • Concise definition and planning for the starting project • Prototypes, contingent on finding a sponsor for the build

Budget

$20,000 USD

Success Criterion

A concrete plan is devised for MeTTa enetering the robot maker community.

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