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BrainChip and MYWAI Accelerate Edge AI Development for AIoT

BrainChip and MYWAI Accelerate Edge AI Development for AIoT Image Credit: ismagilov/BigStockPhoto.com

BrainChip Holdings yesterday announced a strategic partnership to deliver next-generation Edge AI solutions leveraging neuromorphic compute.

The solutions will leverage BrainChip’s Akida™, which processes and learns from sensor data with unparalleled efficiency, precision, and economy of energy. It incorporates MYWAI’s AIoT Platform for EaaS (Equipment as a Service), which can stream, process, and prepare multimodal sensor data (e.g. time series, audio, vision, touch data) for Edge AI, as well as manage the Machine Learning Engineering for Production (MLOps) workflows, the Digital Ledger Technology (DLT) certification of the data and outcomes, in line with the new EU regulations for trustworthy AI.

The partnership is expected to accelerate the adoption of Edge AI in the industrial and robotic sectors and generate significant value for both companies and their customers. Developing and delivering robotic solutions for various industries, such as manufacturing, logistics, energy management and healthcare will be the focus of this partnership and allows customers to deploy AI at the very Edge of their equipment, achieving unprecedented performance, efficiency, and security.

Fabrizio Cardinali, CEO of MYWAI

We believe in helping businesses reach new heights by adding intelligence to processes and machinery at the very Edge using Generative AI on the cloud and trustworthy AI at the Edge. By integrating BrainChip’s Akida with our EaaS platform, we can enable our customers to optimize their processes and machinery with efficient AI, delivering intelligence where needed, when needed.

Rob Telson, Vice President of Ecosystem and Partnerships at BrainChip

Working with partners like MYWAI provides us a tangible way to demonstrate the power of Essential AI together. This collaboration offers customers tremendous value by providing them with a powerful-and-scalable solution for Industrial and MedTech applications requiring real-time, low-power and cloud-independent AI.

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Author

Principle Analyst and Senior Editor | IP Networks

Ariana specializes in IP networking, covering both operator networks - core, transport, edge and access; and enterprise and cloud networks. Her work involves analysis of cutting-edge technologies that drive application visibility, traffic awareness, network optimization, network security, virtualization and cloud-native architectures.

She can be reached at ariana.lynn@thefastmode.com

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