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The Alif Blog

Alif Semiconductor Joins the EDGE AI FOUNDATION

The EDGE AI FOUNDATION is an organization that facilitates collaboration between industry and academia to advance machine learning on tiny, resource-constrained devices. Edge AI members are some of the industry’s most well-respected pioneers in developing low-power, high-performance machine learning algorithms and technologies that can run on devices at the network’s edge. At Alif Semiconductor, we’re

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What does an MCU need to make its built-in NPU fast and efficient?

When AI and machine learning (ML) first began to be taken seriously in embedded applications at the edge, OEMs tried to run inferencing operations on the same microcontroller with the same CPU that they used for classic control functions. The embedded world soon discovered that this wasn’t ideal: a CPU has the wrong kind of compute architecture for neural networking operations.

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Alif Semiconductor Expands Embedded AI with ExecuTorch 

Collaborations in technology often mean more efficiency and more power to developers. And that is no different with Alif Semiconductor’s latest partnership with The PyTorch Foundation to integrate the ExecuTorch framework into the Ensemble® and Balletto™ families of microcontrollers (MCUs).

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Alif’s Open-Source Toolchain Removes a Barrier of Entry for AI

As AI continues to expand its reach into various industries, the need for efficient and scalable development tools has never been greater. However, for many developers, especially those working on microcontroller (MCU) platforms, the path to implementing AI at the edge is fraught with challenges.  In this context, a significant hurdle is the reliance on

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