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Home » How Google TensorStore Handles ‘N-Dimensional Data in the Bigger Space’
Data Modernization Minute

How Google TensorStore Handles ‘N-Dimensional Data in the Bigger Space’

Pablo MorenoBy Pablo MorenoOctober 7, 2022Updated:November 30, 20221 Min Read
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In this Data Revolution Minute, Pablo explains Google’s latest release of TensorStore, a framework designed to hold and process N-dimensional data.

Highlights

00:33 — TensorStore is a C++ and Python Software library that Google has made open source. TensorStore is intended to “store and handle N-dimensional data in the bigger space.”

00:49 — TensorStore is a solution that gathers, reads, and reuses a large amount of data, which is perfect for the training of artificial intelligence. The solution offers various applications including image detection, research and development, and cybersecurity.

01:56 — There are reasons that big companies are releasing technology packages to the public and to those who want to develop AI applications. Gaining an image in the market and being ahead of the curve in the technology world leads people to eventually use the paid products of these companies. Additionally, companies are not as interested in releasing certain tools, but rather, in giving users access to applications in which the tools can be utilized.


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Pablo Moreno
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Business Data Scientist and Project Manager (Waterfall & Agile) with experience in Business Intelligence, Robotics Process Automation, Artificial Intelligence, Advanced Analytics and Machine Learning in multiple business fields, gained within global business environment over the last 20 years. University Professor of ML and AI, International speaker and Author. Active supporter of Open-Source software development. Looking to grow with the next challenge.

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