2024 BrainChip Discussion, page-5331

This paper confirms that Brainchip has made its existence known in the EU and that the EU is intent on adoption of neuromorphic edge computing and is building out the infrastructure necessary to its adoption. As is often said ‘Rome was not built in a day.’

TITLE:

“Allowing prototyping of applications running on heterogeneous HW through a multi-tenant platform based on cloud microservices”

DATE OF RELEASE:

24 April, 2024

PURPOSE OF THIS RESEARCH:

“Neuromorphic engineering is an emerging field that aims to develop physical implementations of brain-inspired systems using electronic circuits. These circuits, drawing inspiration from the brain’s architecture, offer several advantages over the traditional von Neumann architecture. These advantages include improved power consumption, enhanced adaptability and learning capabilities, real-time processing, and fault tolerance. As a result, neuromorphic technologies hold the potential to replace conventional approaches in various domains. However, it is important to note that existing technologies for neuromorphic computation, such as chips and boards, are still predominantly in the prototype stage. Consequently, they are often expensive and not readily available on the market. This limitation currently impedes the widespread adoption of these technologies in the development of IoT and industrial use cases. This thesis project aims to find a solution for this problem allowing users to prototype applications on a cloud platform based on microservices, guarantying a user-friendly access to the system through a web application accessible by a common browser, and run such applications on a heterogeneous hardware platform composed by several boards for neuromorphic and general-purpose computation. The platform allows tenants to develop, build, run, test and compare the results of their application on different boards to provide an overview of the state-of-the-art reached by such technologies“

BRAINCHIP REFERENCE MAKING CLEAR BRAINCHIP AKIDA IS ONE OF THE TARGET TECHNOLOGIES:

"BrainChip is an Australian-based company, a worldwide leader in edge AI on-chip processing and learning. BrainChip engineered several technologies regarding the Artificial Intelligence (AI) world. Examples of these technologies are rep- resented by the Akida processors, ultra-low-power neuromorphic processors that mimic the human brain to analyze only essential sensor inputs at the point of acquisition—processing data with unparalleled performance, precision, and reduced power consumption [10].”

CONCLUSION:

"The infrastructure developed in this thesis is a key component of the comprehensive research infrastructure that the Politecnico di Torino team is contributing to the Ebrains-Italy project. This contribution aims to establish Neuromorphic Computing Lab, a dedicated facility focused on the study, development, and utilization of cutting-edge neuromorphic technologies.

The core focus of the system developed in this thesis lies in the implementation of key components that a prototyping platform must perform. It incorporates Visual Studio Code (VSCode) as a coding platform, enabling users to develop their applications while also providing an integrated Linux terminal for running and testing these applications within the platform itself.

Furthermore, a critical aspect of the system is to facilitate the capability to test and evaluate developed algorithms on dedicated hardware devices specifically designed to address the paradigm of neuromorphic computing. This functionality allows researchers and developers to validate their algorithms on specialized neuro- morphic hardware, ensuring compatibility and optimal performance in real-world deployments.

By seamlessly integrating a robust coding environment, testing capabilities, and dedicated neuromorphic hardware resources, this prototyping infrastructure empowers users to explore the full potential of neuromorphic computing. From algorithm development to hardware testing and validation, the system provides a comprehensive framework for advancing the frontiers of this emerging field.”

ACKNOWLEDGEMENTS:

"This research is funded by the European Union - Next Generation EU Project EBRAINS- Italy (IR0000011, CUP B51E22000150006). I would like to express my deepest gratitude to EDA-ECP research group for their support and guidance, especially to Professor Gianvito Urgese and Andrea Pignata for giving me the opportunity to work on this project.“

LINK TO THIS PAPER:

https://webthesis.biblio.polito.it/secure/30858/1/tesi.pdf

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