Kevin T Walsh

US Patent:

6440256, Aug 27, 2002

Filed:

Jun 20, 2000

Appl. No.:

09/597455

Inventors:

Steven J. Gordon - Cambridge MA
Richard P. Sweeney - Winchester MA
Anthony J. Christopher - Cambridge MA
Brett Anderson - Cambridge MA
A. David Boccuti - Cambridge MA
Kevin Walsh - Cambridge MA
Hani Sallum - Cambridge MA
David Ramler - Maple Grove MN
Jim Wolf - Chanhassen MN
Mike Helmbrecht - Blaine MN

Assignee:

Keurig, Incorporated - Wakefield MA

International Classification:

B32B 3104

US Classification:

156293, 156201, 156204, 156217, 156227, 156267, 156270, 1563084

Abstract:

A method of forming and inserting filter elements into cup-shaped containers comprises the steps of: a) folding a continuous web of filter material into two adjacent plies which have separable upper edges and are joined one to the other along a bottom fold line; b) blanking the adjacent plies to form their upper edges into a scalloped pattern; c) inserting carrier mandrels between the adjacent plies; d) joining the adjacent plies along seams extending transversely with respect to the bottom fold line to form a series of collapsed frustoconical filter elements interconnected by scrap segments and supported internally by the carrier mandrels; e) separating the filter elements one from the other by blanking and removing the scrap segments; f) transferring the filter elements from the carrier mandrels into cup-shaped containers arranged therebeneath; and g) securing the thus inserted filter elements to interior surfaces of the cup-shaped containers.

US Patent:

20120233374, Sep 13, 2012

Filed:

Mar 9, 2012

Appl. No.:

13/416952

Inventors:

David Scott Whitefield - Andover MA, US
Nuttapong Srirattana - Billerica MA, US
Kevin F. Walsh - Salem NH, US
Florinel G. Balteanu - Ottawa, CA

Assignee:

SKYWORKS SOLUTIONS, INC. - Woburn MA

International Classification:

G06F 13/20
G06F 13/40

US Classification:

710313, 710316

Abstract:

Systems, methods, and devices for communicating with a serial/parallel interface are described herein. In an aspect, a wireless device includes a transceiver configured to output a plurality of transmission paths, and an antenna configured to output a signal corresponding to at least one of the transmission paths. The wireless device further includes a wireless switching component including a radio-frequency switch configured to selectively connect the antenna to one of the transmission paths, a plurality of signal pins, a serial interface including a plurality of serial inputs electrically coupled to at least one pin of the plurality of signal pins, a parallel interface including a plurality of parallel inputs electrically coupled to at least one pin of the plurality of signal pins, a decoder, and a level shifter configured to control the radio-frequency switch, the at least one pin electrically coupled to both a serial input and a parallel input.

US Patent:

20220383199, Dec 1, 2022

Filed:

Aug 8, 2022

Appl. No.:

17/882950

Inventors:

- Cambridge MA, US
Adam STARIKIEWICZ - Dublin, IE
Kevin M. WALSH - Somerville MA, US
Stephen PURCELL - Somerville MA, US
Hector URDIALES - Dublin, IE
Andrea BERGONZO - Dublin, IE

International Classification:

G06N 20/00
G06N 5/04

Abstract:

A modular machine learning-as-a-service (MLAAS) system uses machine learning to respond to tasks without requiring machine learning modeling or design knowledge by its users. The MLAAS system receives an inference request including a model identifier and a target defining features for use in processing the inference request. The features correspond to a task for evaluation using a machine learning model associated with the model identifier. An inference outcome is generated by processing the inference request using the target as input to the model. Feedback indicating an accuracy of the inference outcome with respect to the task is later received and used to generate a training data set, which the MLAAS can use to further train model used to generate the inference outcome. As a result, the training of a machine learning model by the MLAAS system is limited to using data resulting from an inference performed using that model.

US Patent:

20220222703, Jul 14, 2022

Filed:

Apr 1, 2022

Appl. No.:

17/657687

Inventors:

- Cambridge MA, US
Vedant Misra - Cambridge MA, US
Kevin M. Walsh - Marion MA, US
Scott Judson - Boston MA, US

International Classification:

G06Q 30/02
G06N 20/00
G06F 16/9535
G06F 16/9538
G06N 7/00

Abstract:

A system includes a set of crawlers that find and retrieve documents from an information network, an information extraction system, a knowledge graph storing nodes and edges that connect them, wherein each node represents a respective entity of a corresponding entity type of a plurality of entity types, and wherein the knowledge graph further stores event data relating to events detected by the information extraction system, a machine learning system that trains models that are used in connection with at least one of entity extraction, event extraction, recipient identification, and content generation, a lead scoring system that scores the relevance of information to an individual and references information in the knowledge graph, and a content generation system that generates content of a personalized message to a recipient who is an individual for which the lead scoring system has determined a threshold level of relevance.

US Patent:

20200210867, Jul 2, 2020

Filed:

Dec 17, 2019

Appl. No.:

16/716688

Inventors:

- Cambridge MA, US
Adam Starikiewicz - Dublin, IE
Kevin M. Walsh - Somerville MA, US
Stephen Purcell - Somerville MA, US
Hector Urdiales - Dublin, IE
Andrea Bergonzo - Dublin, IE

International Classification:

G06N 5/04
G06N 20/00

Abstract:

A modular machine learning-as-a-service (MLAAS) system uses machine learning to respond to tasks without requiring machine learning modeling or design knowledge by its users. The MLAAS system receives an inference request including a model identifier and a target defining features for use in processing the inference request. The features correspond to a task for evaluation using a machine learning model associated with the model identifier. An inference outcome is generated by processing the inference request using the target as input to the model. Feedback indicating an accuracy of the inference outcome with respect to the task is later received and used to generate a training data set, which the MLAAS can use to further train model used to generate the inference outcome. As a result, the training of a machine learning model by the MLAAS system is limited to using data resulting from an inference performed using that model.

US Patent:

20200065857, Feb 27, 2020

Filed:

Oct 30, 2019

Appl. No.:

16/668696

Inventors:

- Cambridge MA, US
Vedant Misra - Cambridge MA, US
Kevin Walsh - Somerville MA, US
Scott Judson - Boston MA, US

International Classification:

G06Q 30/02
G06F 16/9535
G06F 16/9538
G06N 20/00
G06N 7/00

Abstract:

A system includes a set of crawlers that find and retrieve documents from an information network, an information extraction system, a knowledge graph storing nodes and edges that connect them, wherein each node represents a respective entity of a corresponding entity type of a plurality of entity types, and wherein the knowledge graph further stores event data relating to events detected by the information extraction system, a machine learning system that trains models that are used in connection with at least one of entity extraction, event extraction, recipient identification, and content generation, a lead scoring system that scores the relevance of information to an individual and references information in the knowledge graph, and a content generation system that generates content of a personalized message to a recipient who is an individual for which the lead scoring system has determined a threshold level of relevance.

US Patent:

20190388068, Dec 26, 2019

Filed:

Jun 19, 2019

Appl. No.:

16/446309

Inventors:

- Maple Grove MN, US
Seamus F. O'Shaughnessy - Chelmsford MA, US
Jeremy DiTullio - North Grafton MA, US
Colby Harris - Weston MA, US
Kevin Walsh - Wellesley MA, US
Nancy Lieberman - Roxbury Crossing MA, US

International Classification:

A61B 10/02
A61B 17/34
A61B 10/04
A61M 25/06

Abstract:

The present disclosure relates generally to the field of medical devices. In particular, the present disclosure relates to medical systems and methods configured to shield the sharpened distal end of needles, such as exchangeable biopsy needles. The biopsy needles may be used for tissue biopsy and sampling under radial ultrasound guidance.

US Patent:

20150293872, Oct 15, 2015

Filed:

Jun 24, 2015

Appl. No.:

14/748705

Inventors:

- Woburn MA, US
Nuttapong Srirattana - Billerica MA, US
Kevin F. Walsh - Laguna Niguel CA, US
Florinel G. Balteanu - Irvine CA, US

International Classification:

G06F 13/40
G06F 13/42

Abstract:

Systems, methods, and devices for communicating with a serial/parallel interface are described herein. In an aspect, a wireless device includes a transceiver configured to output a plurality of transmission paths, and an antenna configured to output a signal corresponding to at least one of the transmission paths. The wireless device further includes a wireless switching component including a radio-frequency switch configured to selectively connect the antenna to one of the transmission paths, a plurality of signal pins, a serial interface including a plurality of serial inputs electrically coupled to at least one pin of the plurality of signal pins, a parallel interface including a plurality of parallel inputs electrically coupled to at least one pin of the plurality of signal pins, a decoder, and a level shifter configured to control the radio-frequency switch, the at least one pin electrically coupled to both a serial input and a parallel input.