公开(公告)号：US11604834B2

公开(公告)日：2023-03-14

申请号：US16870003

申请日：2020-05-08

Applicant: Intel Corporation

Inventor： Mariano Tepper ,  Dipanjan Sengupta ,  Sourabh Dongaonkar ,  Chetan Chauhan ,  Jawad Khan ,  Theodore Willke ,  Richard Coulson ,  Rajesh Sundaram

IPC: G06F16/903 ,  G06F17/16 ,  G06K9/62

Abstract: Technologies for performing stochastic similarity searches in an online clustering space include a device having a column addressable memory and circuitry. The circuitry is configured to determine a Hamming distance from a binary dimensionally expanded vector to each cluster of a set of clusters of binary dimensionally expanded vectors in the memory, identify the cluster having the smallest Hamming distance from the binary dimensionally expanded vector, determine whether the identified cluster satisfies a target size, and add or delete, in response to a determination that the identified cluster does not satisfy the target size, the binary dimensionally expanded vector to or from the identified cluster.

公开(公告)号：US20200327365A1

公开(公告)日：2020-10-15

申请号：US16914303

申请日：2020-06-27

Applicant: Intel Corporation

Inventor： Mariano Tepper ,  Dipanjan Sengupta ,  Theodore Willke ,  Javier Sebastian Turek

IPC: G06K9/62 ,  G06N20/00 ,  H04L9/06

Abstract: Systems, apparatuses and methods may store a plurality of classes that represent a plurality of clusters in a cache. Each of the classes represents a group of the plurality of clusters and the plurality of clusters is in a first data format. The systems, apparatuses and methods further modify input data from a second data format to the first data format and conduct a similarity search based on the input data in the first data format to assign the input data to at least one class of the classes.

公开(公告)号：US20200265045A1

公开(公告)日：2020-08-20

申请号：US16868069

申请日：2020-05-06

Applicant: Intel Corporation

Inventor： Mariano Tepper ,  Dipanjan Sengupta ,  Jawad Khan ,  Sourabh Dongaonkar ,  Chetan Chauhan ,  Richard Coulson ,  Theodore Willke

IPC: G06F16/2458 ,  G06F16/248 ,  G06N20/00 ,  G06N7/00

Abstract: Technologies for refining stochastic similarity search candidates include a device having a memory that is column addressable and circuitry connected to the memory. The circuitry is configured to add a set of input data vectors to the memory as a set of binary dimensionally expanded vectors, including multiplying each input data vector with a projection matrix. The circuitry is also configured to produce a search hash code from a search data vector, including multiplying the search data vector with the projection matrix. Additionally, the circuitry is configured to identify a result set of the binary dimensionally expanded vectors as a function of a Hamming distance of each binary dimensionally expanded vector from the search hash code and determine, from the result set, a refined result set as a function of a similarity measure in an original input space of the input data vectors.

公开(公告)号：US20200264874A1

公开(公告)日：2020-08-20

申请号：US16867948

申请日：2020-05-06

Applicant: Intel Corporation

Inventor： Mariano Tepper ,  Dipanjan Sengupta ,  Sourabh Dongaonkar ,  Chetan Chauhan ,  Jawad Khan ,  Theodore Willke ,  Richard Coulson

IPC: G06F9/30 ,  G06F7/58 ,  G06F16/13 ,  H01L27/06

Abstract: Technologies for performing random sparse lifting and Procrustean orthogonal sparse hashing using column read-enabled memory include a device that has a memory that is column addressable and circuitry connected to the memory. The circuitry is configured to add a set of input data vectors to the memory as a set of binary dimensionally expanded vectors, including multiplying each input data vector with a projection matrix. The circuitry is also configured to produce a search hash code from a search data vector, including multiplying the search data vector with the projection matrix. Further, the circuitry is configured to determine a Hamming distance between the search hash code and each of the binary dimensionally expanded vectors.

公开(公告)号：US11574172B2

公开(公告)日：2023-02-07

申请号：US16361432

申请日：2019-03-22

Applicant: Intel Corporation

Inventor： Dipanjan Sengupta ,  Jawad B. Khan ,  Theodore Willke ,  Richard Coulson

IPC: G06N3/063 ,  G06F3/06 ,  G06N3/04

Abstract: Technologies for efficiently performing memory augmented neural network (MANN) update operations includes a device with circuitry configured to obtain a key usable to search a memory associated with a memory augmented neural network for one or more data sets. The circuitry is also configured to perform a stochastic associative search to identify a group of data sets within the memory that satisfy the key and write to the identified group of data sets concurrently to update the memory augmented neural network.

公开(公告)号：US11507773B2

公开(公告)日：2022-11-22

申请号：US16914303

申请日：2020-06-27

Applicant: Intel Corporation

Inventor： Mariano Tepper ,  Dipanjan Sengupta ,  Theodore Willke ,  Javier Sebastian Turek

IPC: G06K9/62 ,  H04L9/06 ,  G06N20/00

Abstract: Systems, apparatuses and methods may store a plurality of classes that represent a plurality of clusters in a cache. Each of the classes represents a group of the plurality of clusters and the plurality of clusters is in a first data format. The systems, apparatuses and methods further modify input data from a second data format to the first data format and conduct a similarity search based on the input data in the first data format to assign the input data to at least one class of the classes.

公开(公告)号：US20200327118A1

公开(公告)日：2020-10-15

申请号：US16914302

申请日：2020-06-27

Applicant: Intel Corporation

Inventor： Nesreen K. Ahmed ,  Dipanjan Sengupta ,  Todd Anderson ,  Theodore Willke

IPC: G06F16/248 ,  G06F16/901 ,  G06K9/62 ,  G06F8/41

Abstract: Systems, apparatuses and methods may provide for technology that identifies a query code, translates the query code into a query graph, generates a candidate vector based on a candidate graph, wherein the candidate graph is associated with a candidate code, generates a query vector based on the query graph, and determines a similarity measurement between the query vector and the candidate vector.

公开(公告)号：US20200265098A1

公开(公告)日：2020-08-20

申请号：US16870003

申请日：2020-05-08

Applicant: Intel Corporation

Inventor： Mariano Tepper ,  Dipanjan Sengupta ,  Sourabh Dongaonkar ,  Chetan Chauhan ,  Jawad Khan ,  Theodore Willke ,  Richard Coulson ,  Rajesh Sundaram

IPC: G06F16/903 ,  G06K9/62 ,  G06F17/16

Abstract: Technologies for performing stochastic similarity searches in an online clustering space include a device having a column addressable memory and circuitry. The circuitry is configured to determine a Hamming distance from a binary dimensionally expanded vector to each cluster of a set of clusters of binary dimensionally expanded vectors in the memory, identify the cluster having the smallest Hamming distance from the binary dimensionally expanded vector, determine whether the identified cluster satisfies a target size, and add or delete, in response to a determination that the identified cluster does not satisfy the target size, the binary dimensionally expanded vector to or from the identified cluster.

公开(公告)号：US20190220735A1

公开(公告)日：2019-07-18

申请号：US16361432

申请日：2019-03-22

Applicant: Intel Corporation

Inventor： Dipanjan Sengupta ,  Jawad B. Khan ,  Theodore Willke ,  Richard Coulson

IPC: G06N3/063 ,  G06N3/04 ,  G06F3/06

CPC classification number: G06N3/063 ,  G06F3/0604 ,  G06F3/0659 ,  G06F3/0673 ,  G06N3/0472

Abstract: Technologies for efficiently performing memory augmented neural network (MANN) update operations includes a device with circuitry configured to obtain a key usable to search a memory associated with a memory augmented neural network for one or more data sets. The circuitry is also configured to perform a stochastic associative search to identify a group of data sets within the memory that satisfy the key and write to the identified group of data sets concurrently to update the memory augmented neural network.