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femtoAI

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Technology Introduction:
femtoAI's core technology is an Embedded AI Platform that uses sparsity to achieve ultra-efficient neural network inference—skipping unnecessary computations and storage. This results in up to 10x space and 100x energy efficiency gains. Our full-stack solution spans custom AI accelerator silicon and production-ready algorithms, co-designed to bring real-time intelligence to everyday devices.
Industry Applicability:
femtoAI’s ultra-efficient Embedded AI Platform powers intelligence in devices across industries—from audio and wearables to smart appliances. Our custom accelerator, SPU-001, together with AI models for speech enhancement and voice commands, delivers real-time, low-power intelligence that makes products smarter, smaller, and more sustainable.

femtoAI

femtoAI brings intelligence to everyday devices with our Embedded AI Platform: an ultra-efficient AI accelerator, end-to-end software stack, and production-grade AI models. Using neuromorphic principles like sparsity, we enable low-latency inference with dramatically lower power and cost—powering everything from wearables and appliances to robotics and vehicles.

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  • Name:

  • Phone: ‪+1 (314) 341-4030‬

  • Address:UNITED STATES

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Other Information

  • Pavilion:Future Tech IC Innovation and Applications FK27

  • Affiliated Ministry:National Science and Technology Council

  • Application Field:Electronics & Optoelectronics

Location More info

Patent

  • US20220012575A1

    • Patent Name
    • Application Country
    • Patent type
    • Assignee
    • Application Number
    • Publish Number
    • Patent Name

      Methods and apparatus for localized processing within multicore neural networks

    • Application Country

      United States of America、USA

    • Patent type

      Utility Invention

    • Assignee

      Sam Brian Fok, Alexander Smith Neckar, Scott Henry Reid

    • Application Number

      US17/367,512

    • Publish Number

      US20220012575A1

  • US 2023/0133088 A1

    • Patent Name
    • Application Country
    • Patent type
    • Assignee
    • Application Number
    • Publish Number
    • Patent Name

      METHODS AND APPARATUS FOR SYSTEM-ON-A-CHIP NEURAL NETWORK PROCESSING APPLICATIONS

    • Application Country

      United States of America、USA

    • Patent type

      Utility Invention

    • Assignee

      Sam Brian Fok, Alexander Smith Neckar, Gabriel Vega

    • Application Number

      US18/049,453

    • Publish Number

      US 2023/0133088 A1

  • US 11,625,592 B2 ; US 11,775,810 B2 ; US 11,783,169 B2

    • Patent Name
    • Application Country
    • Patent type
    • Assignee
    • Application Number
    • Publish Number
    • Patent Name

      METHODS AND APPARATUS FOR THREAD-BASED SCHEDULING IN MULTICORE NEURAL NETWORKS

    • Application Country

      United States of America、USA

    • Patent type

      Utility Invention

    • Assignee

      Sam Brian Fok, Alexander Smith Neckar

    • Application Number

      US17/367,521 ; US18/149,142 ; US18/149,145

    • Publish Number

      US 11,625,592 B2 ; US 11,775,810 B2 ; US 11,783,169 B2

  • US 2024/0289416 A1

    • Patent Name
    • Application Country
    • Patent type
    • Assignee
    • Application Number
    • Publish Number
    • Patent Name

      METHODS AND APPARATUS FOR ACCELERATING TRANSFORMS VIA SPARSE MATRIX OPERATIONS

    • Application Country

      United States of America、USA

    • Patent type

      Utility Invention

    • Assignee

      Scott Henry Reid

    • Application Number

      US18/586,891

    • Publish Number

      US 2024/0289416 A1

Website & Links

  • Technology maturity:Mass production

  • Exhibiting purpose:Technology transactions

  • Trading preferences:New products development

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