18072527. METHODS FOR TRANSMITTING DATA VIA FREE SPACE SPATIOTEMPORAL PATTERNS simplified abstract (Microsoft Technology Licensing, LLC)

METHODS FOR TRANSMITTING DATA VIA FREE SPACE SPATIOTEMPORAL PATTERNS

Organization Name

Microsoft Technology Licensing, LLC

Inventor(s)

Winston Allen Saunders of Seattle WA (US)

Maria Leena Kyllikki Viitaniemi of Seattle WA (US)

Teresa A. Nick of Towson MD (US)

Nicholas Andrew Keehn of Kirkland WA (US)

Christian L. Belady of Mercer Island WA (US)

Eric C. Peterson of Woodinville WA (US)

METHODS FOR TRANSMITTING DATA VIA FREE SPACE SPATIOTEMPORAL PATTERNS - A simplified explanation of the abstract

This abstract first appeared for US patent application 18072527 titled 'METHODS FOR TRANSMITTING DATA VIA FREE SPACE SPATIOTEMPORAL PATTERNS

Simplified Explanation

The abstract describes a method for encoding data in a datacenter by obtaining data to be encoded, encoding the data to a set of encoded spatiotemporal patterns, and outputting the set of encoded spatiotemporal patterns.

• The method involves obtaining data to be encoded.
• The data is then encoded into a set of encoded spatiotemporal patterns.
• Finally, the set of encoded spatiotemporal patterns is outputted.

Potential Applications

This technology could be applied in various industries such as data storage, data analysis, and information retrieval systems.

Problems Solved

This technology solves the problem of efficiently encoding and storing large amounts of data in a datacenter.

Benefits

The benefits of this technology include improved data encoding efficiency, enhanced data storage capacity, and optimized data retrieval processes.

Potential Commercial Applications

The potential commercial applications of this technology include datacenter management systems, cloud computing services, and big data analytics platforms.

Possible Prior Art

One possible prior art could be the use of data compression algorithms in data storage systems to optimize storage capacity and data retrieval speed.

What are the specific industries that could benefit from this technology?

Various industries such as healthcare, finance, and e-commerce could benefit from this technology by efficiently encoding and storing large amounts of data.

How does this technology compare to existing data encoding methods in terms of efficiency and scalability?

This technology offers improved efficiency and scalability compared to existing data encoding methods by utilizing encoded spatiotemporal patterns for data storage and retrieval.

Original Abstract Submitted

A method for encoding data in a datacenter is provided that includes obtaining data to be encoded, encoding the data to a set of encoded spatiotemporal patterns, and outputting the set of encoded spatiotemporal patterns.