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Ecological Dialogue | Pushing AI to the Edge (Part 1)

Latest update time:2024-01-20
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The insatiable demand for artificial intelligence (AI) and machine learning (ML) in all types of devices has triggered a new wave of hardware innovation that promises to transform applications. BrainChip Chief Marketing Officer Nandan Nayampally held an in-depth conversation with Arm researcher Ian Bratt about how to bring more advanced AI capabilities to edge devices. The two parties discussed the growing need to solve issues such as privacy, latency and scalability through on-device AI, and discussed many challenges, including enabling no-code (no-code) development environments and how to obtain data for training models on edge devices. Enough high-quality data, etc., and finally talked about the development direction of future innovation.

interlocutor

BrainChip Chief Marketing Officer and Product Head Nandan Nayampally ( hereinafter referred to as Nandan)

Ian Bratt, Senior Technical Director and Researcher, Arm Engineering Department ( hereinafter referred to as Ian)

Model development trends and optimization


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Pushing generative large-scale language models to the edge


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The future of multimodal edge AI


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To be continued...

The discussion between BrainChip and Arm on edge AI is yet to be completed. In the next ecological dialogue, the two experts will continue to discuss in depth the many challenges and technology trends currently faced, locking in the Arm community, where industry opinions will collide and inspire more Spark of innovation!

* This article is an original article by Arm. For reprinting, please leave a message to obtain authorization and indicate the source.


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