Alif Semiconductor was founded in 2019 in Silicon Valley with the vision to address the rapidly growing market need for broad, scalable, and connected AI-enabled embedded computing solutions that are genuinely power efficient. This need led to Alif Semiconductor’s creation of a new class of embedded controllers, or fusion processors, that enable seamless integration of technology for everyday life by unlocking innovative low-power techniques, unparalleled functional integration, accelerated AI and ML edge processing, high security, ubiquitous wireless connectivity, and operating system diversity.

Solution Briefs

  • thumbnail: Embedded AI-Enabled Microcontrollers with Scalable Processor Selection
    Embedded AI-Enabled Microcontrollers with Scalable Processor Selection

    Alif Semiconductor has developed a highly scalable platform of microcontrollers that allows developers to create secure solutions across multiple applications, all while using a common fabric.

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Insights

  • Understanding Alif Semiconductor's Scalable Platform Brochure
    Understanding Alif Semiconductor's Scalable Platform

    In the past, developers had to source fundamental technology blocks by piecemeal procurement, of varied effectiveness, and spend excessive time and effort integrating them to create their desired solutions. Alif's platform addresses this problem.

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  • Ahead of the Plasticity Curve: AI, Biology and Technology Webinar
    Ahead of the Plasticity Curve: AI, Biology and Technology

    Recorded from Arm DevSummit, Ian Bratt, uses this biological concept to discuss the advance of AI. Alif Semiconductor is featured (13:00 mins) for achieving 75x less energy during image classification than when using M-55 alone.

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  • Arm Total Solutions for IoT: Designing with Systems in Mind Webinar
    Arm Total Solutions for IoT: Designing with Systems in Mind

    Recorded from Arm DevSummit, Mohamed Awad discusses the key elements of an optimized IoT system and Arm Corstone. Alif Semiconductor is featured (13:00 mins) for achieving 800X faster image classification than the previous generation Cortex-M.

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