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Machine Learning & Artificial Intelligence as Simple as Drag and Drop #CES2021

Blaize AI Studio brings drag and drop functionality to the creation of AI & ML Apps cutting development time from months to days.

Bird classification using Blaize's AI Studio
Computer vision using Blaize’s AI Studio

It took decades for Machine Learning and Artificial Intelligence to enter the mainstream. Still, it is new enough that it remains the domain of data scientists, machine learning, and software engineers. The challenge is that these experts are in short supply, causing projects to be relatively expensive with relatively long timelines.

Blaize’s AI Studio promises to solve that by allowing subject matter experts, whether that expert is a city planner, doctor, or farmer, to directly create artificial intelligence applications that operate locally. This code-free, visual and open standards tool allows the subject matter expert, with minimal help, to prepare & train, deploy & manage, and use & monitor an edge-based, Artificial Intelligent app.

Although the output is exportable to other platforms, AI Studio complements Blaize’s Graph Stream Processors.  These processors feature low power consumption (e.g. 16 trillion operations per second AI interference with only 7 Watts), allowing processing at the edge, which reduces latency for real-time decision-making. The AI Studio collaboration with various marketplaces allows quick access to models, data, and apps, and knowledge enablement.

AI Deployments – From Months to Days #

Image signal processing is included as part of Blaize's AI Studio.
Image signal processing is included as part of Blaize’s AI Studio

To make it easier for the end-users, Blaize has pre-packaged solutions, such as plant disease detection for agriculture, retail security, and human disease detection.

Speaking at Pepcom’s CES2021 virtual event, Dmitry Zaharchenko, Blaize’s VP of Research and Development explains how they applied a pre-trained model to help a physician detect a rare disease. This type of project would normally take months to complete with traditional approaches.

Working with the doctor and processing approximately 12,000 images the AI models achieved 90% accuracy within two days. This greatly exceeds the 76 to 80% accuracy a human would achieve examining x-rays. Zaharchenko believes they could have achieved 99% accuracy, had they spent a couple more days refining the models.

This example illustrates the power of computer vision and AI to leverage the knowledge of a subject matter expert.  For instance, using the above model, a physician’s assistant in a rural area could potentially provide a first-level diagnosis without the patient having to travel to an urban area to see a specialist.

Zaharchenko indicates that this is just the beginning and that they will continue to add use-cases and capabilities, such as Natural Language Processing and audio. Although specific pricing is not yet available, Blaize is looking at three different price levels for AI Studio; Basic, Developer, and On-Premise & Enterprise.

Note: To see an earlier interview with Blaize (when it was known as Thinci) that provides additional insight about their hardware solution that runs the AI algorithms, check out this ViodiTV interview from CES2019.

Author Ken Pyle, Managing Editor

By Ken Pyle, Managing Editor

Ken Pyle is Marketing Director for the Broadband Forum. The mission of this 25+-year-old non-profit “is to unlock the potential for new markets and profitable revenue growth by leveraging new technologies and standards in the home, intelligent small business, and multi-user infrastructure of the broadband network.”

He is also co-founder of Viodi, LLC and Managing Editor of the Viodi View, a publication focused on the rural broadband ecosystem, autonomous vehicles, and electric aviation. He has edited and produced numerous multimedia projects for NTCA, US Telecom and Viodi. Pyle is the producer of Viodi’s Local Content Workshop, the Video Production Crash Course at NAB, as well as ViodiTV. He has been intimately involved in Viodi’s consulting projects and has created processes for clients to use for their PPV and VOD operations, as well authored reports on the independent telco market.

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