SensiML and Efabless Partner to Drive Open-Source Edge AI Innovation

Rhea-AI Summary

SensiML, a subsidiary of QuickLogic (NASDAQ: QUIK), has partnered with Efabless to revolutionize IoT development. This collaboration aims to simplify and accelerate the creation of optimized, application-specific AI at the edge using fully open-source hardware and software. The partnership addresses two key challenges:

1. Sourcing low-cost, power-efficient silicon tailored for specific IoT edge products
2. Implementing accurate sensor AI inference models for resource-constrained devices

The joint solution combines Efabless's custom SoC development platform with SensiML's AutoML software, enabling developers to create sophisticated edge AI solutions more efficiently. The partnership leverages open-source technologies, including RISC-V processor cores and SensiML's Piccolo AI™ AutoML toolchain. A live demo showcasing a power-optimized keyword recognition system will be presented at Embedded World USA in Austin, TX.

Positive

• Partnership aims to reduce complexity and cost of designing both hardware and AI models for edge IoT applications
• Enables development of custom hardware solutions up to 10x more energy-efficient than off-the-shelf alternatives
• Provides a seamless hardware-software development workflow built on open-source technologies
• Allows engineers to develop AI workload and custom SoC in unison, optimizing intelligent IoT devices

Negative

• None.

• Empowering IoT innovators to build custom smart sensing SoCs at negligible upfront cost
• Utilizes fully open-source hardware and software to optimize edge AI applications

PORTLAND, Ore., Oct. 8, 2024 /PRNewswire/ -- SensiML™ Corporation, a leader in AI software for IoT and a subsidiary of QuickLogic (NASDAQ: QUIK), today announced a strategic partnership with Efabless, a pioneer in custom semiconductor SoC development. This collaboration addresses a key challenge in IoT development: the high cost and complexity of building optimized, application-specific AI at the edge. Together, SensiML and Efabless aim to simplify and accelerate this process by delivering fully open-source, customizable solutions designed to unlock the potential of intelligent IoT devices.

With a shared vision for transparency and open-source innovation, SensiML and Efabless are addressing two of the most complex challenges in IoT development:

• Sourcing silicon optimized to suit the unique requirements of a particular IoT edge product at low cost and power while providing the right mix of on-board peripherals and processing to meet the specific use case
• Implementing responsive and accurate sensor AI inference models capable of running entirely within these resource-constrained edge devices

This partnership makes developing advanced AI-driven solutions accessible by reducing the complexity and cost of designing both hardware and AI models for edge IoT applications.

"We're excited to be collaborating with Efabless to offer a comprehensive development pathway for intelligent edge devices," said Chris Rogers, CEO of SensiML. "By combining our strengths, our combined open-source solution will allow engineers to develop their AI workload and custom SoC in unison, empowering them to innovate and optimize intelligent IoT devices well beyond what is possible with stock hardware and general-purpose AI frameworks."

Complementary Expertise for Next-Gen IoT Solutions

Efabless's pioneering approach to custom SoC development enables companies that once found designing silicon too expensive or complex to build application-specific hardware in mere months through the chipIgnite program. Meanwhile, SensiML's AutoML software provides embedded developers with the tools to rapidly build efficient AI models, even without extensive data science expertise. Together, the partnership opens doors to sophisticated edge AI solutions that were previously out of reach for many developers.

"Our partnership with SensiML brings the power of custom silicon within reach for developers working on cutting-edge machine learning applications," said Mohamed Kassem, CTO of Efabless. "By combining Efabless' accessible chip design platform with SensiML's advanced AI tools, innovators can develop custom hardware solutions up to 10x more energy-efficient than off-the-shelf alternatives."

A Comprehensive, Open-Source Workflow for Edge AI Development

This partnership enables a seamless hardware-software development workflow built fully on open-source technologies suitable for sensor data analytics at the IoT edge. Developers can leverage Efabless's open-source RISC-V processor core, a variety of open-source IP hardware libraries (I/O, memory, communications, and DSP/ML accelerators), and SensiML's open-source Piccolo AI™ AutoML toolchain to transform raw sensor data into highly efficient, on-device inference models.

Live Demo at Embedded World USA

Attendees at Embedded World USA in Austin, TX this week can see this collaboration in action. SensiML and Efabless will showcase a live demo of a power-optimized keyword recognition system, which highlights the efficiency of SensiML's voice recognition models running on Efabless custom silicon.

For more information about the SensiML and Efabless partnership, visit Efabless at booth 2535 at Embedded World USA or inquire further at info@sensiml.com.

About Efabless
Efabless offers a platform applying open source and community models to enable a global community of chip experts and non-experts to collaboratively design, share, prototype and commercialize special purpose chips. Over the past three years, 1,400 designs and six hundred tapeouts have been executed on Efabless. The company's customers include startups, Fortune 500 companies, universities, and research institutions around the world. For more information, please visit efabless.com.

About SensiML
SensiML, a subsidiary of QuickLogic (NASDAQ: QUIK), offers cutting-edge software that enables ultra-low power IoT endpoints that implement AI to transform raw sensor data into meaningful insight at the device itself. The company's flagship solution, the SensiML Analytics Toolkit, provides an end-to-end development platform spanning data collection, labeling, algorithm and firmware auto-generation, and testing. The SensiML Toolkit supports a growing list of hardware including 8/16/32-bit MCUs from Microchip®, Arm® Cortex®-M class and higher microcontroller cores, Intel® x86 instruction set processors, and heterogeneous core AI/ML optimized SoCs. For more information, visit sensiml.com.

SensiML and logo are trademarks of SensiML. All other trademarks are the property of their respective holders and should be treated as such.

 

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SOURCE SensiML Corporation

FAQ

What is the purpose of the partnership between SensiML and Efabless for QUIK stock?

The partnership aims to simplify and accelerate the development of optimized, application-specific AI at the edge for IoT devices, potentially driving innovation and growth for QuickLogic (NASDAQ: QUIK), SensiML's parent company.

How does the SensiML and Efabless partnership benefit IoT developers?

It enables developers to create custom silicon and efficient AI models for edge devices more easily and cost-effectively, using open-source hardware and software solutions.

What will SensiML and Efabless showcase at Embedded World USA in October 2024?

They will demonstrate a live power-optimized keyword recognition system, highlighting the efficiency of SensiML's voice recognition models running on Efabless custom silicon.

How does the SensiML and Efabless solution improve energy efficiency for IoT devices?

The partnership enables the development of custom hardware solutions that can be up to 10 times more energy-efficient than off-the-shelf alternatives, according to Efabless CTO Mohamed Kassem.