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Tuesday, October 22, 2024

Dataloop AI companions with Qualcomm to spice up AI mannequin improvement


Dataloop AI has introduced at Snapdragon Summit a collaboration with Qualcomm Applied sciences. This collaboration goals to speed up AI mannequin improvement for cell, automotive, IoT and different computing gadgets powered by Snapdragon platforms.

With the newly created, absolutely automated AI Pipeline on the Dataloop AI platform, utility and mannequin builders acquire direct entry to a complete suite of AI improvement instruments for constructing fashions and purposes tailor-made for gadgets powered by Snapdragon platforms. They’ll then use Qualcomm AI Hub to deploy these fashions throughout a wide selection of gadgets powered by Snapdragon platforms.

Dataloop allows AI builders to streamline your entire AI lifecycle by means of an automatic pipeline that features information curation, labelling, mannequin fine-tuning and integration with Qualcomm AI Hub, which compiles, optimises and profiles the ready-to-deploy mannequin.

Nir Buschi, the co-founder and CBO at Dataloop AI, mentioned, “The Qualcomm AI Hub helps improve the effectivity of AI improvement. Dataloop’s complete platform simplifies your entire AI lifecycle, whereas Qualcomm Applied sciences’ improvements allow fashions which might be optimised and prepared for deployment on edge gadgets, empowering builders to speed up innovation and produce AI options to market sooner.”

Siddhika Nevrekar, the senior director of product administration at Qualcomm Applied sciences, mentioned, “Qualcomm Applied sciences is collaborating with Dataloop to streamline on-device AI deployment. With Dataloop’s automated pipelines and sturdy information administration, builders can create highly effective AI techniques and deploy them on-device utilizing our Qualcomm AI Hub.” 

Dataloop helps AI groups all through your entire AI utility deployment course of, enabling them to persistently construct and deploy purposes swiftly and precisely. With its data-agnostic method and assist for numerous varieties of unstructured information, it addresses the wants of industries coping with advanced information workflows and challenges in information high quality and AI mannequin coaching.

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