SensiML Expands Platform Support to Include the RISC-V Architecture

Rhea-AI Summary

SensiML , a subsidiary of QuickLogic (NASDAQ: QUIK), has announced the integration of RISC-V processor support within its AI development tool suite. This addition offers developers increased flexibility in building intelligent, resource-constrained edge devices with AI/ML sensor data processing. The open-source nature of RISC-V aligns with SensiML's commitment to transparent and accessible solutions for the IoT market.

Developers can now use SensiML's open-source Piccolo AI AutoML tool to create ultra-efficient machine learning models tailored to specific applications using fully open-source hardware and software. This combination unlocks RISC-V's advantages in cost, customization, and scalability. According to Omdia's forecast, RISC-V processors are expected to grow from under 1% market share in 2020 to nearly 25% of global processors sold by 2030.

Positive

• Integration of RISC-V processor support expands hardware choices for IoT developers
• Alignment with open-source architecture enhances flexibility and customization options
• Potential for cost-effective solutions in IoT edge devices
• RISC-V processors expected to grow to 25% market share by 2030, indicating future relevance

Negative

• None.

• Increasing Flexibility with Open Hardware and AI Tools for IoT Edge AI Development

PORTLAND, Ore., Oct. 10, 2024 /PRNewswire/ -- SensiML™ Corporation, a leader in AI software for IoT and a subsidiary of QuickLogic (NASDAQ: QUIK), today announced the integration of RISC-V® processor support^* within its comprehensive AI development tool suite. This addition offers developers unmatched flexibility in building intelligent, resource-constrained edge devices with AI/ML sensor data processing.

The open-source nature of the RISC-V architecture aligns with SensiML's commitment to transparent, accessible, and customizable solutions for the IoT market. With RISC-V support, developers can now use SensiML's open-source Piccolo AI™ AutoML tool to create ultra-efficient machine learning models tailored to specific applications using fully open-source hardware and software.

Expanding Hardware Choices for IoT Innovators

RISC-V's open-source processor design and SensiML's open-source Piccolo AI toolchain empower developers to design and deploy edge AI solutions with complete control over their product architecture. This combination also unlocks RISC-V's unique advantages in cost, customization, and scalability. According to a recent market forecast from Omdia, RISC-V processors are poised for significant growth, ramping from just under 1% market share in 2020 to nearly 25% of global processors sold by 2030.

"By supporting RISC-V, we're giving our customers more choice and flexibility in implementing AI on IoT edge devices," said Chris Rogers, CEO of SensiML. "As the only fully open-source AutoML development tool for edge AI, Piccolo AI allows developers to harness the full potential of RISC-V and other architectures to build high-performance, resource-efficient solutions for their specific needs."

Open-Source Synergy for Edge AI Development

RISC-V's open architecture and collaborative hardware innovation align well with SensiML's vision for open collaboration in AI software tools for IoT edge devices. RISC-V provides a cost-effective foundation for processor cores, while SensiML's Piccolo AI offers a transparent AutoML workflow for developing machine learning models at the edge. Together, they create a powerful, end-to-end platform for unique and optimized IoT products.

With RISC-V support, SensiML takes another step toward democratizing AI for IoT developers. The RISC-V instruction set architecture (ISA) is freely available to anyone seeking to use, implement, or modify it, and supports customization for applications that demand highly optimized SoCs as often required in remote edge sensing devices. This addition offers unprecedented flexibility and transparency, allowing developers to build IoT products on their terms.

About SensiML
SensiML, a subsidiary of QuickLogic (NASDAQ: QUIK), offers cutting-edge software that enables ultra-low-power IoT endpoints to implement AI and transform raw sensor data into meaningful insights directly on the device. 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 RISC-V, 8/16/32-bit MCUs, Arm® Cortex®-M class and higher microcontroller cores, Intel® x86 processors, and heterogeneous core AI/ML optimized SoCs. For more information, visit https://sensiml.com.

*RISC-V is a trademark of RISC-V International. This press release references the open-source RISC-V architecture solely to inform about SensiML's tool compatibility with the architecture, and does not reflect an endorsement by RISC-V of SensiML's tools or products.

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 new processor architecture has SensiML added support for in its AI development tools?

SensiML has added support for the RISC-V processor architecture in its AI development tool suite.

How does the addition of RISC-V support benefit developers using SensiML's tools?

The addition of RISC-V support offers developers more flexibility in building intelligent, resource-constrained edge devices with AI/ML sensor data processing, allowing for cost-effective, customizable, and scalable solutions.

What is the projected market growth for RISC-V processors according to Omdia's forecast?

According to Omdia's forecast, RISC-V processors are expected to grow from under 1% market share in 2020 to nearly 25% of global processors sold by 2030.

How does SensiML's Piccolo AI tool work with RISC-V architecture?

SensiML's open-source Piccolo AI AutoML tool allows developers to create ultra-efficient machine learning models tailored to specific applications using fully open-source hardware and software, including RISC-V architecture.