Temporal Computing

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Jonathan Edwards
Project Owner

Temporal Computing

Status

  • Overall Status

    ⏳ Contract Pending

  • Funding Transfered

    $0 USD

  • Max Funding Amount

    $80,000 USD

Funding Schedule

View Milestones
Milestone Release 1
$14,997 USD Pending TBD
Milestone Release 2
$15,000 USD Pending TBD
Milestone Release 3
$45,003 USD Pending TBD
Milestone Release 4
$5,000 USD Pending TBD

Project AI Services

No Service Available

Overview

Our company, Temporal Computing, proposes to enhance the performance and scalability of the Hyperon framework by integrating cutting-edge temporal computing technologies with specialized hardware. Temporal computing offers an alternative to traditional and quantum computing by representing input data as a "passage of time" rather than traditional binary. This method allows for processing efficiencies and energy savings which can be utilised in both traditional AI compute and graph and crypto fast compute settings. Our vision is to leverage these advantages to provide a significant speed increase and power reduction in AGI computations.

RFP Guidelines

Explore novel hardware architectures and computing paradigms for AGI

Complete & Awarded
  • Type SingularityNET RFP
  • Total RFP Funding $80,000 USD
  • Proposals 9
  • Awarded Projects 1
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SingularityNET
Apr. 14, 2025

The purpose of this RFP is to identify, assess, and experiment with novel computing paradigms that could enhance AGI system performance and efficiency. By focusing on alternative architectures, this research aims to overcome computational bottlenecks in recursive reasoning, probabilistic inference, attention allocation, and large-scale knowledge representation. Bids are expected to range from $40,000 - $80,000.

Proposal Description

Company Name (if applicable)

Temporal Computing

Project details

Our company, Temporal Computing, proposes to enhance the performance and scalability of the Hyperon framework by integrating cutting-edge temporal computing technologies with specialized hardware. Temporal computing offers an alternative to traditional and quantum computing by representing input data as a "passage of time" rather than traditional binary. This method allows for processing efficiencies and energy savings by utilizing simpler memory manipulation devices. Our vision is to leverage these advantages to provide a significant speed increase (100x) and power reduction (100x) in AGI computations.

Temporal computing has several advantages over quantum computing, including easier development, higher parallelization capacity, and low resource requirements. Key problems identified include deep learning, flow optimization in graphs, and cryptographic systems.

Our approach includes both electrical and non-silicon implementations, with a focus on proving the viability of temporal computing in various domains. The project targets improvements in low power and high-performance compute, aiming to capture a significant share of the neuromorphic computing market and demonstrate "supremacy" in valuable areas like AI systems.

A variety of papers, patents, and reports have documented our work to date, with a focus on developing a licensable portfolio and unlocking future investment. The plan includes milestones for both software and hardware development, aiming to build a general temporal computer that can solve a wide range of problems.

SInce submitting this bid in a previous round the temporal idea has moved on significantly - we have built and "taped-out" a small but useful temporal sequential computer. We are finding that the ideas of sparsity in a unary data format has wroked well and we can typically save around 50x on add and multiply compared to traditional architectures.

Project Objectives:

1.Evaluate MeTTa, MeTTa compilers, and Hyperon technologies to identify opportunities for the integration of temporal technology.

2.Implement this technology and benchmark against known systems. We have a broad agenda which is to initial build small sequential processors, then add the highly desireable "Neural" features, which will then be highly parallelised into a network structure. 

3. Start the process of turning this into an open source Neural Processing platform

Scope:

We propose a comprehensive approach that includes:

1. Codebase rethinking and compiler optimization to take advantage of temporal computing insights.

2. Integration of temporal IP into the Hyperon stack.

3. Research and development of POC hardware solutions for key AGI components, focusing on deep learning with the potential to extend to cryptographic systems.

Key Deliverables:

  1. A comprehensive analysis of the current state of art hardware for the respective computational requirements.
  2. Recommendations for integrating temporal hardware into the Hyperon/PRIMUS stack.
  3. Proof-of-concept prototypes and testbeds for key AGI components.

Methodology:

Our approach involves the following stages:

  1. Literature review and analysis of existing works on MeTTa, MeTTa compilers, Hyperon technologies, and temporal computing.
  2. Stakeholder engagement with industry experts to identify priority areas for improvement.
  3. Technical KPI assessments to determine feasibility and scalability.
  4. Research and development of specialized hardware solutions.

Timeline:

  • Phase 1 (0-1 months): Literature review, stakeholder engagement, and technical KPI assessments.
  • Phase 2 (1-2 months): Development of temporary computing insights and recommendations for integrating specialized hardware into the Hyperon stack.
  • Phase 3 (2-6 months): Research and development of specialized hardware solutions and construction of a demonstrator.

Budget:

Our estimated budget for this project is $80000, which will be allocated as follows:

  • Personnel and overheads: 60000
  • Equipment and infrastructure: 10000
  • Research and development: 10000

Conclusion:

Temporal Computing is confident that our approach will significantly enhance the performance and scalability of the Hyperon framework. We believe that our proposed solutions will capture a significant share of the neuromorphic computing market and demonstrate "supremacy" in valuable areas like autonomous systems.

Contact Information:

For more information, please visit our website at https://temporal.computer/ or contact us at Jonny@temporalcomputing.com.

Links and references

temporal.computer

 

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  • Total Milestones

    4

  • Total Budget

    $80,000 USD

  • Last Updated

    28 Aug 2025

Milestone 1 - Milestone 1 Literature Review and Stakeholder

Status
😐 Not Started
Description

Milestone description: Conduct literature review on Hyperon technologies temporal computing and the potential synergies. Run workshop with the Hyperon team who've built the existing and in-development interpreters. Engage with industry experts to identify priority areas for improvement. Identify key challenges and opportunities for integration.

Deliverables

* Key Deliverable: + Comprehensive analysis of current state of art hardware for respective computational requirements. This will be an academic document of around 10-15 pages with around 100 references. Work has already started on the temporal computing aspect in collaboration with the University of York. We seek to augment and support this in the content and thinking DELIVERABLE: REPORT

Budget

$14,997 USD

Success Criterion

This part of the project is slightly more academic and therefore success is limited to a knowledge gathering process. We aim to produce and up to data document which includes sections that explain the technology to a lay person.

Link URL

Milestone 2 - Development of Temporal Comp. Insights

Status
😐 Not Started
Description

Develop and refine temporal computing insights and algorithms. We already have a start on this process as we have the building blocks for some of the key matrix operations. We will extend these to align with this project brief by integrating temporal IP with existing Hyperon idealogies.

Deliverables

+ Recommendations for integrating temporal technology into the Hyperon/PRIMUS stack most likely building on out advanced algorithms for linear algebra. The main thrust of this work will be integration of the temporal ideology with that of Hyperon. DELIVERABLE: REPORT AND EARLY DESIGNS

Budget

$15,000 USD

Success Criterion

We will ground this work in existing developments, we now have a tool chain that we can produce more detailed evaluation of the energy and efficiency of the technology at the design stage. We have already started this process so are confident we can produce significant results.

Link URL

Milestone 3 - Development of Specialized Hardware

Status
😐 Not Started
Description

* Milestones description: + Design and develop POC hardware solutions for key AGI components. Because of time pressures this will likely utilise extending processes (open source verilog design) and IP that have been successfully deployed in temporal computing the business. + Conduct rigorous testing and validation of hardware prototypes. This can be done through simulation using cycle accurate simulators such as verilator. + Refine and iterate the design based on feedback from stakeholders. We will engage with other Hyperon/Primus users to establish next steps in moving the POC to solve a beachhead technical challenge.

Deliverables

* Key Deliverable: + Construction of a demonstrator prototype showcasing the potential of temporal computing in AGI applications. + Proof-of-concept hardware solutions for a key aspect graph search deep learning and cryptographic most likely linear algebra. DELIVERABLE: VERILOG DESIGNS AND TEST REPORT

Budget

$45,003 USD

Success Criterion

Our aim for this section of work is thoroughly evaluate the technology with the ambition of at least a 10x decrease in energy usage. As previously stated we are more confident than in the previous bid, since we have moved the technology forward since the last engagement.

Link URL

Milestone 4 - Final Key Deliverable - Debrief and Nextsteps

Status
😐 Not Started
Description

Run a presentation / final stage workshop on the key findings opportunities and deliverables with a cross section of the appropriate stakeholders (initially agreed at engagement but could add other parties as appropriate) covering the staged deliverables and the next steps we recommend for optimal ROIs extraction.

Deliverables

Report and recommendations document - workshop day via video conference DELIVERABLE: REPORT AND WORKSHOP

Budget

$5,000 USD

Success Criterion

Feedback from you guys!! Really looking forward to getting to this stage and having something concrete to demonstrate!

Link URL

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