Advanced analytical infrastructure for machine learning
US-2016358099-A1 · Dec 8, 2016 · US
Electronic system with learning mechanism and method of operation thereof
US2016188207A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2016188207-A1 |
| Application number | US-201514877421-A |
| Country | US |
| Kind code | A1 |
| Filing date | Oct 7, 2015 |
| Priority date | Dec 31, 2014 |
| Publication date | Jun 30, 2016 |
| Grant date | — |
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- Title
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Abstract
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An electronic system includes: a storage interface configured to receive system information; a storage control unit, coupled to the storage interface, configured to implement a preprocessing block for partitioning data based on the system information; and a learning block for processing partial data of the data for distributing machine learning processes.
First claim
Opening claim text (preview).
What is claimed is: 1 . An electronic system comprising: a storage interface configured to receive system information; a storage control unit, coupled to the storage interface, configured to implement: a preprocessing block for partitioning data based on the system information; and a learning block for processing partial data of the data for distributing machine learning processes. 2 . The system as claimed in claim 1 wherein the storage control unit is configured to implement an adaptive preprocessing block. 3 . The system as claimed in claim 1 wherein the storage control unit is configured to implement a programming interface. 4 . The system as claimed in claim 1 wherein the storage control unit is configured to implement a scheduler block. 5 . The system as claimed in claim 1 wherein the storage control unit is configured to implement a selection block. 6 . The system as claimed in claim 1 wherein the storage control unit is configured to implement a scan and select block 7 . The system as claimed in claim 1 further comprising a storage media configured to store the data. 8 . A method of operation of an electronic system comprising: receiving system information with a storage interface; partitioning data, with a storage control unit configured to implement a preprocessing block, based on the system information; and distributing machine learning processes for processing partial data of the data, with the storage control unit configured to implement a learning block. 9 . The method as claimed in claim 8 wherein partitioning the data includes the storage control unit configured to implement an adaptive preprocessing block. 10 . The method as claimed in claim 8 wherein partitioning the data includes the storage control unit configured to implement a programming interface. 11 . The method as claimed in claim 8 wherein distributing machine learning processing includes the storage control unit configured to implement a scheduler block. 12 . The method as claimed in claim 8 wherein partitioning the data includes the storage control unit configured to implement a selection block. 13 . The method as claimed in claim 8 wherein partitioning the data includes the storage control unit configured to implement a scan and select block. 14 . The method as claimed in claim 8 further comprising storing data with a storage media configured to store the data. 15 . A non-transitory computer readable medium including stored thereon instructions to be executed by a control unit comprising: receiving system information with a storage interface; partitioning data, with a storage control unit configured to implement a preprocessing block, based on the system information; and distributing machine learning process for processing partial data of the data, with the storage control unit configured to implement a learning block coupled to a storage block with the data and the partial data. 16 . The medium as claimed in claim 15 wherein partitioning the data includes the storage control unit configured to implement an adaptive preprocessing block. 17 . The medium as claimed in claim 15 wherein partitioning the data includes the storage control unit configured to implement a programming interface. 18 . The medium as claimed in claim 15 wherein distributing machine learning processing includes the storage control unit configured to implement a scheduler block. 19 . The medium as claimed in claim 15 wherein partitioning the data includes the storage control unit configured to implement a selection block. 20 . The medium as claimed in claim 15 wherein partitioning the data includes the storage control unit configured to implement a scan and select block.
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Frequently asked questions
Answers are generated from the same data shown on this page.
- What does patent US2016188207A1 cover?
- An electronic system includes: a storage interface configured to receive system information; a storage control unit, coupled to the storage interface, configured to implement a preprocessing block for partitioning data based on the system information; and a learning block for processing partial data of the data for distributing machine learning processes.
- Who is the assignee on this patent?
- Samsung Electronics Co Ltd
- What technology area does this patent fall under?
- Primary CPC classification G06F3/061. Mapped technology areas include Physics.
- When was this patent published?
- Publication date Thu Jun 30 2016 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
- What related patents are in patentsdb?
- We list 2 related publications on this page (citations in our corpus or others sharing the same primary CPC).