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Home»Machine-Learning»Dataloop and Qualcomm Associate to Develop AI Fashions for Snapdragon-Powered Units
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Dataloop and Qualcomm Associate to Develop AI Fashions for Snapdragon-Powered Units

Editorial TeamBy Editorial TeamOctober 22, 2024Updated:October 22, 2024No Comments3 Mins Read
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Dataloop and Qualcomm Associate to Develop AI Fashions for Snapdragon-Powered Units
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  • Collaboration allows automated pipeline for constructing, fine-tuning, and deploying Qualcomm AI Hub fashions throughout IoT, Compute, Automotive, and Cell gadgets powered by Snapdragon and Qualcomm platforms. 

  • Permits builders to carry out superior AI mannequin improvement on the Dataloop platform and deploy these fashions to gadgets powered by Snapdragon platforms.

  • AI mannequin and software builders can use automated AI pipelines straight on Dataloop AI’s platform alongside Qualcomm Applied sciences’ optimized AI fashions on gadgets that include Snapdragon and Qualcomm platforms.

  • Collaboration goals to simplify creation of devoted, high-quality AI fashions and functions for Snapdragon and Qualcomm platforms. 

Dataloop AI, an end-to-end, data-centric AI improvement platform for knowledge and AI groups, has introduced right now at Snapdragon Summit a collaboration with Qualcomm Applied sciences, Inc.. This collaboration goals to considerably speed up AI mannequin improvement for cellular, automotive, IoT, and different computing gadgets powered by Snapdragon platforms.

Additionally Learn: Sovereign Digital Identities and Decentralized AI: The Key to Knowledge Management and the Way forward for Digitalization

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

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

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

Additionally Learn:  AiThority Interview with Eli Ben-Joseph, CEO at Regard

Siddhika Nevrekar, Senior Director of Product Administration at Qualcomm Applied sciences Inc., mentioned: “Qualcomm Applied sciences is collaborating with Dataloop to streamline on-device AI deployment. With Dataloop’s automated pipelines and strong knowledge administration, builders can effortlessly create highly effective AI programs and seamlessly deploy them on-device utilizing our Qualcomm AI Hub.”

Dataloop helps AI groups all through the complete AI software deployment course of, enabling them to persistently construct and deploy functions swiftly and precisely. With its data-agnostic strategy and help for various sorts of unstructured knowledge, it addresses the wants of industries coping with advanced knowledge workflows and challenges in knowledge high quality and AI mannequin coaching.

[To share your insights with us as part of editorial or sponsored content, please write to psen@itechseries.com]

Editorial Team
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