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    Home»AI & Automation»Analog Devices Acquires Alif Semiconductor to Advance Physical Intelligence Solutions
    AI & Automation

    Analog Devices Acquires Alif Semiconductor to Advance Physical Intelligence Solutions

    myappsplusBy myappsplusSeptember 9, 2026022 Mins Read
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    Analog Devices Acquires Alif Semiconductor to Advance Physical Intelligence Solutions
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    Analog Devices, Inc. (ADI) and Alif Semiconductor released information that the two companies have come into a definitive agreement under which ADI will acquire Alif in an all-cash transaction for $1.35 billion.

    The acquisition will see the combination of ADI’s knowledge in sensing, signal processing, power, connectivity, and application software with Alif’s leading-edge digital platform to provide complete Physical Intelligence solutions.

    “AI is moving out of the data center and into the physical world, where latency, power, and trust cannot be compromised. That is the domain ADI has mastered for decades, at the delicate electro-physical interface where real-world signals become actionable intelligence. By combining Alif’s digital processing capabilities with our leadership in multi-modal sensing, signal processing, power, connectivity, and software, we can empower customers to create entirely new classes of secure, intelligent systems that sense, reason, and act locally in real time. This is the next frontier of AI: embodied and deterministic. This is Physical Intelligence in action,” said Vincent Roche, CEO and Chair of ADI.

    For more information, visit analog.com and alifsemi.com.

    Chad Cox is the Production Editor at Embedded Computing Design. His responsibilities are centered around content creation, writing and editing, and article research and development. Chad covers industry news and events and is known to interact with various industrial leaders via on-premise visits and online interviews. He is responsible for the digital footprint and dissemination of news via social media posts, advertising creation and the production of newsletters including the Embedded Computing Design’s Daily.

    He is well versed in many facets of industrial computing including Edge AI, IoT, Processing, Security, Open Source, and more.

    Chad graduated from the University of Cincinnati with a B.A. in Cultural and Analytical Literature and holds a master’s in education.

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    AI & Machine Learning
    Industrial – Industrial Computing
    Industrial – Industry 4.0/Industrial IoT
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