Applied UV Integrates AI and Machine Learning into PURONet and Airocide Systems with Quantiva.

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Applied UV, a leading air purification technology company, has announced its collaboration with Quantiva, an AI and machine learning company, to expand the capabilities of the Airocide system and PURONet indoor air monitoring software. The Airocide technology was originally co-developed by NASA and the University of Wisconsin to remove airborne pathogens, including bacteria, viruses, mold, pollen, odors, allergens, and VOCs. The Airocide system is currently used globally for post-harvest food preservation supply chain, including leading companies such as Delmonte, Whole Foods, and Esmerelda Farms.

With the collaboration, Quantiva and Applied UV aim to leverage the power of AI, diverse data inputs, and machine learning to boost the performance of the Airocide system and PURONet indoor air monitoring software further. The new and advanced product offering is expected to improve food security outcomes by reducing crop loss from spoilage along the supply chain and mitigating the adverse impacts of such losses for countries, companies, and consumers worldwide.

Applied UV CEO and Founder Max Munn noted, We are excited about the opportunity to collaborate with Quantiva to advance the development of our proprietary PURONet indoor air monitoring software, particularly in the rapidly growing field of food preservation and food security. The impact of crop loss is felt all around the world, and we believe our proven Airocide brand can help mitigate this loss, improving societal outcomes globally. We look forward to our next-generation product launch, which we anticipate being completed in late 2023.

The collaboration between Applied UV and Quantiva is expected to help enhance the performance of the Airocide system’s patented air purification technology and the PURONet indoor air monitoring software by leveraging machine learning and AI. The new product offering will be available in the market in late 2023, providing enhanced protection for food supply chains and improving societal outcomes globally.

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Frequently Asked Questions (FAQs) Related to the Above News

What is the collaboration between Applied UV and Quantiva?

Applied UV has collaborated with Quantiva, an AI and machine learning company, to expand the capabilities of the Airocide system and PURONet indoor air monitoring software.

What is Airocide technology?

Airocide technology was originally co-developed by NASA and the University of Wisconsin to remove airborne pathogens, including bacteria, viruses, mold, pollen, odors, allergens, and VOCs.

What are the existing uses of Airocide system?

The Airocide system is currently used globally for post-harvest food preservation supply chain, including leading companies such as Delmonte, Whole Foods, and Esmerelda Farms.

How will the collaboration improve food security outcomes?

The collaboration between Applied UV and Quantiva aims to leverage the power of AI, diverse data inputs, and machine learning to boost the performance of the Airocide system and PURONet indoor air monitoring software further. The new and advanced product offering is expected to improve food security outcomes by reducing crop loss from spoilage along the supply chain and mitigating the adverse impacts of such losses for countries, companies, and consumers worldwide.

When will the next-generation product launch be completed?

Applied UV anticipates the next-generation product launch to be completed in late 2023.

What will be the benefits of the new product offering?

The collaboration between Applied UV and Quantiva is expected to help enhance the performance of the Airocide system's patented air purification technology and the PURONet indoor air monitoring software by leveraging machine learning and AI. The new product offering will be available in the market in late 2023, providing enhanced protection for food supply chains and improving societal outcomes globally.

Please note that the FAQs provided on this page are based on the news article published. While we strive to provide accurate and up-to-date information, it is always recommended to consult relevant authorities or professionals before making any decisions or taking action based on the FAQs or the news article.

Kunal Joshi
Kunal Joshi
Meet Kunal, our insightful writer and manager for the Machine Learning category. Kunal's expertise in machine learning algorithms and applications allows him to provide a deep understanding of this dynamic field. Through his articles, he explores the latest trends, algorithms, and real-world applications of machine learning, making it accessible to all.

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