Patents by Inventor Alessandro Magnani

Alessandro Magnani has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20190181680
    Abstract: A control device optimizing evaluation of energy management in an in-plant energy network by exploiting both electric and thermal energy in such a manner as to achieve desirable overall performance. The control device, optimizing evaluation of energy management in an in-plant energy network, improves energy facility efficiency and is applicable in residential areas (e.g., general households), manufacturing industry areas (e.g., factories), and tertiary areas (e.g., office buildings, hotels, hospitals, schools, and swimming pools) for which it is desirable to reduce at least one of energy supply cost, CO2 (carbon dioxide) emission, and primary energy consumption.
    Type: Application
    Filed: August 9, 2016
    Publication date: June 13, 2019
    Applicant: Yanmar Co., Ltd.
    Inventors: Sandro MAGNANI, Alessandro BELLISSIMA, Mirko ANDREINI, Lorenzo FERRARI, Giovanni FERRARA, Fabio ESPOSITO, Michele BECCIANI
  • Patent number: 10282462
    Abstract: A multi-modal computer classification network system for use in classifying data records is described herein. The system includes a memory device, a first classification computer server, a second classification computer server, and a policy computer server. The memory device includes an item records database and a labeling database. The first classification computer server includes a first classifier program that is configured to select an item record from the item database and generate a first classification record including a first ranked list of class labels. The second classification computer server includes a second classifier program that is configured to generate a second classification record including a second ranked list of class labels. The policy computer server includes a policy network that is programmed to determine a predicted class label based on the first and second ranked lists of class labels.
    Type: Grant
    Filed: October 31, 2016
    Date of Patent: May 7, 2019
    Assignee: WALMART APOLLO, LLC
    Inventors: Alessandro Magnani, Tom Ben Zion Zahavy, Abhinandan Krishnan, Shie Mannor
  • Patent number: 10219005
    Abstract: The present disclosure relates to system(s) and method(s) for real time compression of a data frame. The system receives the data frame comprising a set of symbols. Further, the system identifies frequency of each symbol, from the set of symbols. The system further sorts the symbols in descending order of frequency, associated with each symbols. Further, the system computes a compression gain associated with each predefined case type, a set of predefined case types. Furthermore, the system selects a target predefined case type, based on the comparison of the compression gain of each predefined case types. The system further assigns a compressed code to Most Frequent Symbols (MFS), in the data frame. The compressed code is assigned based on the target predefined case type. Further, the system generates a compressed frame, associated with the data frame. The compressed frame comprises a header and a sequence of compressed symbols.
    Type: Grant
    Filed: June 28, 2017
    Date of Patent: February 26, 2019
    Assignee: HCL Technologies Italy S.p.A.
    Inventor: Alessandro Magnani
  • Publication number: 20190007704
    Abstract: The present disclosure relates to system(s) and method(s) for real time compression of a data frame. The system receives the data frame comprising a set of symbols. Further, the system identifies frequency of each symbol, from the set of symbols. The system further sorts the symbols in descending order of frequency, associated with each symbols. Further, the system computes a compression gain associated with each predefined case type, a set of predefined case types. Furthermore, the system selects a target predefined case type, based on the comparison of the compression gain of each predefined case types. The system further assigns a compressed code to Most Frequent Symbols (MFS), in the data frame. The compressed code is assigned based on the target predefined case type. Further, the system generates a compressed frame, associated with the data frame. The compressed frame comprises a header and a sequence of compressed symbols.
    Type: Application
    Filed: June 28, 2017
    Publication date: January 3, 2019
    Inventor: Alessandro Magnani
  • Publication number: 20180121533
    Abstract: A multi-modal computer classification network system for use in classifying data records is described herein. The system includes a memory device, a first classification computer server, a second classification computer server, and a policy computer server. The memory device includes an item records database and a labeling database. The first classification computer server includes a first classifier program that is configured to select an item record from the item database and generate a first classification record including a first ranked list of class labels. The second classification computer server includes a second classifier program that is configured to generate a second classification record including a second ranked list of class labels. The policy computer server includes a policy network that is programmed to determine a predicted class label based on the first and second ranked lists of class labels.
    Type: Application
    Filed: October 31, 2016
    Publication date: May 3, 2018
    Inventors: Alessandro Magnani, Tom Ben Zion Zahavy, Abhinandan Krishnan, Shie Mannor
  • Publication number: 20170124615
    Abstract: A system for use in monitoring an operation of a classification model in generating estimated labels for item records is described herein. The system receives a current labeling budget value including a number of trusted labels available for use in a labeling operation, determines a current selection probability for each item record included in an item list as a function of the current labeling budget value, selects a plurality of item records from the item list as a function of each corresponding current selection probability, and generates a sampling list including the selected item records. The system determines a risk measurement value associated with the classification model indicating an accuracy of the estimated labels as compared to trusted labels associated with the item records.
    Type: Application
    Filed: December 28, 2015
    Publication date: May 4, 2017
    Inventors: Alessandro Magnani, Jianhui Zhang
  • Publication number: 20140278959
    Abstract: In one embodiment, a method includes accessing an information graph that contains nodes and edges connecting the nodes. The nodes in the graph represent concepts related to at least one vertical. The method further includes associating a first node in the graph with a second node in the graph based on a relationship between the meaning of the concept represented by the first node and the meaning of the concept represented by the second node. A portion of the graph corresponds to an advertiser's product catalog. The method may further include accessing one or more targeting criteria for one or more products in the portion of the product catalog. The method may further include creating at least a portion of an advertising campaign, for at least one product for which targeting criteria has been accessed, based on the targeting criteria and the portion of the graph corresponding to the portion of the product catalog.
    Type: Application
    Filed: March 17, 2014
    Publication date: September 18, 2014
    Applicant: Adchemy, Inc.
    Inventors: Murthy V. Nukala, Ethan James Batraski, Alessandro Magnani, Srinidhi Ramesh Kondaji, Richard Edwin Chatwin, Siva Kumar Gorantla, Scott Harold Fish, Zuzar F. Nafar, Gopalakrishnan Krishnan, Dmitry Serenbrennikov, Seán Padraig Lightholder
  • Publication number: 20140279065
    Abstract: In one embodiment, a method includes accessing an information graph that contains nodes and edges connecting the nodes. The nodes in the graph represent concepts related to at least one vertical. The method further includes associating a first node in the graph with a second node in the graph based on a relationship between the meaning of the concept represented by the first node and the meaning of the concept represented by the second node. A portion of the graph corresponds to an advertiser's product catalog. The method may further include accessing an ad library that contains elements for an advertisement. The method may further include selecting at least one of the elements based on the portion of the graph corresponding to the portion of the product catalog of the advertiser. The method may further include generating an advertisement for display based on the selected elements.
    Type: Application
    Filed: March 17, 2014
    Publication date: September 18, 2014
    Applicant: Adchemy, Inc.
    Inventors: Murthy V. Nukala, Ethan James Batraski, Alessandro Magnani, Srinidhi Ramesh Kondaji, Richard Edwin Chatwin, Siva Kumar Gorantla, Scott Harold Fish, Zuzar F. Nafar, Gopalakrishnan Krishnan, Dmitry Serenbrennikov, Seán Padraig Lightholder
  • Publication number: 20140279078
    Abstract: In one embodiment, a method includes accessing information about an advertiser's product catalog. The method may further include accessing an information graph that contains nodes and edges connecting the nodes. The nodes in the graph represent concepts related to at least one vertical. The method further includes associating a first node in the graph with a second node in the graph based on a relationship between the meaning of the concept represented by the first node and the meaning of the concept represented by the second node. A portion of the graph corresponds to the advertiser's product catalog. The method may further include enriching information associated with the portion of the product catalog with information related to the concepts and relationships represented by the portion of the graph corresponding to the portion of the product catalog of the advertiser.
    Type: Application
    Filed: March 17, 2014
    Publication date: September 18, 2014
    Applicant: Adchemy, Inc.
    Inventors: Murthy V. Nukala, Ethan James Batraski, Alessandro Magnani, Srinidhi Ramesh Kondaji, Richard Edwin Chatwin, Siva Kumar Gorantla, Scott Harold Fish, Zuzar F. Nafar, Gopalakrishnan Krishnan, Dmitry Serenbrennikov, Seán Padraig Lightholder
  • Publication number: 20140278958
    Abstract: In one embodiment, a method includes creating an information graph that contains nodes and edges connecting the nodes. The nodes in the graph represent concepts related to at least one vertical. The method further includes associating a first node in the graph with a second node in the graph based on a relationship between the meaning of the concept represented by the first node and the meaning of the concept represented by the second node.
    Type: Application
    Filed: March 17, 2014
    Publication date: September 18, 2014
    Applicant: Adchemy, Inc.
    Inventors: Murthy V. Nukala, Ethan James Batraski, Alessandro Magnani, Srinidhi Ramesh Kondaji, Richard Edwin Chatwin, Siva Kumar Gorantla, Scott Harold Fish, Zuzar F. Nafar, Gopalakrishnan Krishnan, Dmitry Serenbrennikov, Seán Padraig Lightholder
  • Publication number: 20140278916
    Abstract: In one embodiment, a method includes receiving, from an advertiser, an identification of one or more products in a catalog of the advertiser. The method may further include accessing an information graph that contains nodes and edges connecting the nodes. The nodes in the graph represent concepts related to at least one vertical. The method further includes associating a first node in the graph with a second node in the graph based on a relationship between the meaning of the concept represented by the first node and the meaning of the concept represented by the second node. A portion of the graph corresponds to an advertiser's product catalog. The method may further include identifying, based on the portion of the graph corresponding to the products identified by the advertiser, one or more products or product types related to the products identified by the advertiser.
    Type: Application
    Filed: March 17, 2014
    Publication date: September 18, 2014
    Applicant: Adchemy, Inc.
    Inventors: Murthy V. Nukala, Ethan James Batraski, Alessandro Magnani, Srinidhi Ramesh Kondaji, Richard Edwin Chatwin, Siva Kumar Gorantla, Scott Harold Fish, Zuzar F. Nafar, Gopalakrishnan Krishnan, Dmitry Serenbrennikov, Seán Padraig Lightholder
  • Publication number: 20120059708
    Abstract: In one embodiment, a method includes constructing an intent map for a plurality of products, the intent map comprising intent topics and each intent topic comprising intents, and then deriving a plurality of keywords from the intent map based on keyword templates.
    Type: Application
    Filed: August 26, 2011
    Publication date: March 8, 2012
    Applicant: ADCHEMY, INC.
    Inventors: Daniel Galas, Veeravich Thi Thumasathit, Murthy V. Nukala, Richard Edward Chatwin, Alessandro Magnani, Benjamin David Foster, Alan Coleman, Manish Khettry, Siva Chandrasekar, Nitin Gupta, Srinidhi Ramesh Kondaji
  • Publication number: 20120059713
    Abstract: In one embodiment, a method includes deriving a user intent from user information associated with a user, selecting an advertiser intent that aligns with the user intent, and then advertising to the user based on the advertiser intent that aligns with the user intent.
    Type: Application
    Filed: August 26, 2011
    Publication date: March 8, 2012
    Applicant: ADCHEMY, INC.
    Inventors: Daniel Galas, Veeravich Thi Thumasathit, Murthy V. Nukala, Richard Edward Chatwin, Alessandro Magnani, Benjamin David Foster, Alan Coleman, Manish Khettry, Siva Chandrasekar, Nitin Gupta, Srinidhi Ramesh Kondaji, Venkatesh Natarajan, Nitin Duggal