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SensiML's Open-Source AutoML Solution for Edge AI Now Available

SensiML's Open-Source AutoML Solution for Edge AI Now Available

SensiML的邊緣人工智能開源自動化機器學習解決方案現已推出
快輯半導體 ·  06/25 12:00

Democratizes access to IoT edge AI technology and enables developers to contribute to ongoing advances for AI at the extreme edge

普及物聯網邊緣AI技術,讓開發者爲極端邊緣的AI進步做出貢獻

PORTLAND, Ore., June 25, 2024 /PRNewswire/ -- SensiML Corporation, a leader in AI software for IoT and a subsidiary of QuickLogic (NASDAQ: QUIK), is excited to announce the official launch of its highly anticipated open-source initiative Piccolo AI. Developers, researchers, and AI enthusiasts can now access the first open-source AutoML solution for IoT edge AI, designed to streamline the creation of intelligent sensor algorithms at the edge.

俄勒岡州波特蘭市,2024年6月25日/美通社/--SensiML Corporation是物聯網AI軟件領域的領導者,隸屬於快輯半導體(納斯達克股票代碼:QUIK),很高興地宣佈其備受矚目的開源倡議Piccolo AI正式啓動。開發人員、研究人員和AI愛好者現在可以訪問物聯網邊緣AI領域的第一個開源AutoML解決方案,旨在簡化邊緣智能傳感器算法的創建。

The initiative, which was announced earlier last month, is now live and includes a suite of resources to support the involvement of the broader developer community. The new open-source project website, available at sensiml.org, serves as the central hub for all project-related information, updates, and documentation. Additionally, SensiML has launched a dedicated community forum at forum.sensiml.org to facilitate discussions, collaborations, and knowledge sharing among developers.

該倡議於上個月提出,目前已上線,包括一套資源,支持更廣泛的開發者社區參與。新的開源項目網站可在以下網址上訪問:宣佈,它作爲所有與項目相關的信息、更新和文檔的中央樞紐。此外,SensiML還推出了一個專門的社區論壇,位於sensiml.org,爲AutoML代碼庫提供免費訪問。這個代碼庫賦予用戶使用尖端技術開展自己的項目,並對解決方案的持續改進與創新做出貢獻的能力。通過成爲積極的貢獻者,開發者可以在推進邊緣AI的能力方面發揮重要作用。forum.sensiml.org致力於促進開發者之間的討論、協作和知識共享的專用社區論壇。

The heart of the initiative, the GitHub repository at github.com/sensiml/piccolo, offers free access to the AutoML codebase. This repository empowers users to not only utilize cutting-edge technology for their own projects but also to contribute to the continuous improvement and innovation of the solution. By becoming active contributors, developers can play a vital role in advancing the capabilities of edge AI.

倡議的核心是位於github.com/sensiml/piccolo的GitHub存儲庫,提供了免費訪問AutoML代碼庫的機會。此存儲庫不僅僅讓用戶利用尖端技術來完成自己的項目,還可以爲解決方案的持續改進和創新做出貢獻。通過成爲積極的貢獻者,開發人員可以在推進邊緣AI的能力方面發揮重要作用。github.com/sensiml/piccolo通過參加該活動,開發者可以在推進邊緣AI的能力方面發揮重要作用。

"We are thrilled to make our AutoML solution available as an open-source project," said Chris Rogers, CEO of SensiML. "This launch is a significant milestone in our mission to democratize access to AI technology and enable developers to create powerful, intelligent edge solutions with greater ease and efficiency. We believe that the collaborative power of the open-source community will drive rapid advancements in edge AI technology."

SensiML的首席執行官Chris Rogers表示:“我們很高興將我們的AutoML解決方案作爲開源項目提供。這是我們推動普及AI技術和使開發人員更輕鬆高效地創建強大、智能的邊緣解決方案的使命中的重要里程碑。我們相信,開源社區的協同力量將推動邊緣AI技術的快速發展。”

Key Features of the SensiML Open-Source AutoML Solution:

SensiML開源AutoML解決方案的主要特點:

  • Automated Machine Learning: Simplifies the creation of machine learning models for sensor data with minimal manual intervention.
  • Edge Optimization: Tailored for the constraints of embedded systems, ensuring efficient performance and low power consumption.
  • Comprehensive Documentation: Detailed guides, tutorials, and API references to help developers get started quickly and effectively.
  • Community Support: Engage with fellow developers, share insights, and seek advice on the SensiML Forum.
  • Active Contribution: Collaborate on the GitHub Repository to enhance and expand the AutoML solution.
  • 自動化機器學習 :減少人工干預,簡化傳感器數據的機器學習模型創建。
  • 邊緣優化 :針對嵌入式系統的限制,確保高效性能和低功耗。
  • 全面文檔 :提供詳細的指南、教程和API參考,幫助開發人員快速、高效地開始工作。
  • 社區支持 :與其他開發人員互動、分享見解,並在 SensiML論壇.
  • 積極參與:與GitHub存儲庫協作,改進和擴展AutoML解決方案。GitHub存儲庫以改進和擴展AutoML解決方案。

To get started with the SensiML open-source AutoML solution, visit sensiml.org. For discussions and support, join the community forum at forum.sensiml.org. Access the code and contribute to the project on GitHub at github.com/sensiml/piccolo.

要開始使用SensiML開源AutoML解決方案,請訪問sensiml.org。sensiml.org有關討論和支持,請加入社區論壇forum.sensiml.org。forum.sensiml.org在GitHub上訪問代碼併爲項目做出貢獻github.com/sensiml/piccologithub.com/sensiml/piccolo.

About SensiML

關於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 https://sensiml.com.

SensiML是QuickLogic(NASDAQ:QUIK)的子公司,提供尖端軟件,使能夠在物聯網端點實現AI的超低功耗,將原始傳感器數據轉換爲有意義的數據。該公司的旗艦解決方案SensiML Analytics Toolkit提供了一個端到端的開發平台,涵蓋了數據收集、標記、算法和固件自動生成以及測試。SensiML Toolkit支持越來越多的硬件,包括來自Microchip的8/16/32位MCU,Arm Cortex-M class和更高級別的微控制器核,Intel x86指令集處理器,以及異構核AI/ML優化SoCs。有關更多信息,請訪問,Arm Cortex-M類及更高級別的微控制器核,Intel x86指令集處理器https://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.

,SensiML和標誌是SensiML的商標。所有其他商標均爲其各自持有人的財產,並應予以相應對待。

SOURCE SensiML Corporation

消息來源:SensiML Corporation

譯文內容由第三人軟體翻譯。


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