Patents by Inventor Giovanni Cherubini

Giovanni Cherubini 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: 20220383063
    Abstract: The present disclosure relates to a method for representing an ordered group of symbols with a hypervector. The method comprises sequentially applying on at least part of the input hypervector associated with a current symbol a predefined number of circular shift operations associated with the current symbol, resulting in a shifted hypervector. A rotate operation may be applied on the shifted hypervector, resulting in an output hypervector. If the current symbol is not the last symbol of the ordered group of symbols the output hypervector may be provided as the input hypervector associated with a subsequent symbol of the current symbol; otherwise, the output hypervector of the last symbol of the ordered group of symbols may be provided as a hypervector that represents the ordered group of symbols.
    Type: Application
    Filed: May 27, 2021
    Publication date: December 1, 2022
    Inventors: Kumudu Geethan Karunaratne, Abbas Rahimi, Manuel Le Gallo-Bourdeau, Giovanni Cherubini, Abu Sebastian
  • Patent number: 11403514
    Abstract: A computer-implemented method for classification of an input element to an output class in a spiking neural network may be provided. The method comprises receiving an input data set comprising a plurality of elements, identifying a set of features and corresponding feature values for each element of the input data set, and associating each feature to a subset of spiking neurons of a set of input spiking neurons of the spiking neural network. Furthermore, the method comprises also generating, by the input spiking neurons, spikes at pseudo-random time instants depending on a value of the feature for a given input element, and classifying an element into a class depending on a distance measure value between output spiking patterns at output spiking neurons of the spiking neural network and a predefined target pattern related to the class.
    Type: Grant
    Filed: May 13, 2020
    Date of Patent: August 2, 2022
    Assignee: International Business Machines Corporation
    Inventors: Giovanni Cherubini, Ana Stanojevic, Abu Sebastian
  • Publication number: 20220180167
    Abstract: The present disclosure relates to a method for classifying a query information element using the similarity between the query information element and a set of support information elements. A resulting set of similarity scores is transformed using a sharpening function such that the transformed scores are decreasing as negative similarity scores increase and the transformed scores are increasing as positive similarity scores increase. A class of the query information element is determined based on the transformed similarity scores.
    Type: Application
    Filed: December 3, 2020
    Publication date: June 9, 2022
    Inventors: Kumudu Geethan Karunaratne, Manuel Le Gallo-Bourdeau, Giovanni Cherubini, Abu Sebastian, Abbas Rahimi
  • Publication number: 20220101117
    Abstract: A computer-implemented method, system, and computer program product to solve a cognitive task that includes learning abstract properties. One embodiment may comprise accessing datasets that characterize the abstract properties. The accessed datasets may then be inputted into a first neural network to generate first embeddings. Pairs of the first embeddings generated may be formed, which correspond to pairs of the datasets. Data corresponding to the pairs formed may then be inputted into a second neural network, which may be executed to generate second embeddings. The latter may capture relational properties of the pairs of the datasets. A third neural network may be subsequently executed, based on the second embeddings generated, to obtain output values. One or more abstract properties of the datasets are learned based on the output values obtained, in order to solve the cognitive task.
    Type: Application
    Filed: September 29, 2020
    Publication date: March 31, 2022
    Inventors: Giovanni Cherubini, Hlynur Freyr Jonsson, Evangelos Stavros Eleftheriou
  • Patent number: 11244723
    Abstract: The invention is directed to a device for high-dimensional encoding of a plurality of sequences of quantitative data signals. The device comprises a plurality of input channels for receiving the plurality of sequences of quantitative data signals and an encoding unit. The encoding unit is configured to perform a temporal high-dimensional encoding of n-grams of the plurality of sequences of quantitative data signals; thereby creating a plurality of temporally encoded hypervectors for the plurality of input channels. The encoding unit is further configured to perform a spatial high-dimensional encoding of the plurality of temporally encoded hypervectors, thereby creating a temporally and spatially encoded hypervector. The device further comprises a configuration controller. The configuration controller is adapted to configure the high-dimensional encoding in dependence on one or more hyperparameter values.
    Type: Grant
    Filed: October 5, 2020
    Date of Patent: February 8, 2022
    Assignees: International Business Machines Corporation, ETH ZURICH
    Inventors: Kumudu Geethan Karunaratne, Manuel Le Gallo-Bourdeau, Giovanni Cherubini, Abu Sebastian, Abbas Rahimi, Luca Benini
  • Patent number: 11226763
    Abstract: The invention is notably directed at a device for high-dimensional computing comprising an associative memory module. The associative memory module comprises one or more planar crossbar arrays. The one or more planar crossbar arrays comprise a plurality of resistive memory elements. The device is configured to program profile vector elements of profile hypervectors as conductance states of the resistive memory elements and to apply query vector elements of query hypervectors as read voltages to the one or more crossbar arrays. The device is further configured to perform a distance computation between the profile hypervectors and the query hypervectors by measuring output current signals of the one or more crossbar arrays. The invention further concerns a related method and a related computer program product.
    Type: Grant
    Filed: May 30, 2019
    Date of Patent: January 18, 2022
    Assignees: International Business Machines Corporation, ETH ZURICH (EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZURICH)
    Inventors: Manuel Le Gallo-Bourdeau, Kumudu Geethan Karunaratne, Giovanni Cherubini, Abu Sebastian, Abbas Rahimi, Luca Benini
  • Patent number: 11227656
    Abstract: The invention is directed a device for high-dimensional encoding of a plurality of sequences of quantitative data signals. The device comprises a memory crossbar array comprising a plurality of resistive devices, a first peripheral circuit connected to the memory crossbar array, and a second peripheral circuit connected to the first peripheral circuit. The device is configured to receive the plurality of sequences of quantitative data signals via a plurality of input channels and to store elements of a plurality of precomputed basis hypervectors as conductance states of the resistive devices. The plurality of basis hypervectors are bound to respective input channels. The first peripheral circuit performs a temporal encoding of n-grams of the quantitative data signals thereby creating a plurality of temporally encoded hypervectors. The second peripheral circuit performs a spatial encoding of the plurality of temporally encoded hypervectors. This creates a temporally and spatially encoded hypervector.
    Type: Grant
    Filed: October 5, 2020
    Date of Patent: January 18, 2022
    Assignee: International Business Machines Corporation
    Inventors: Kumudu Geethan Karunaratne, Manuel Le Gallo-Bourdeau, Giovanni Cherubini, Abu Sebastian, Abbas Rahimi, Luca Benini
  • Patent number: 11205131
    Abstract: Methods and apparatus are provided for calculating branch metrics, associated with possible transitions between states of a trellis, in a sequence detector for detecting symbol values corresponding to samples of an analog signal transmitted over a channel. For each sample and each transition, the method calculates a plurality of distance values indicative of distance between that sample and respective hypothesized sample values for that transition. In parallel with calculation of the distance values, the sample is compared with a set of thresholds, each defined between a pair of successive hypothesized symbol values arranged in value order, to produce a comparison result. An optimum distance value is selected as a branch metric for the transition in dependence on the comparison result.
    Type: Grant
    Filed: March 16, 2018
    Date of Patent: December 21, 2021
    Assignee: International Business Machines Corporation
    Inventors: Hazar YĆ¼ksel, Giovanni Cherubini, Roy Cideciyan, Simeon Furrer, Marcel Kossel
  • Patent number: 11200484
    Abstract: Methods and apparatus are provided for implementing propagation of probability distributions of random variables over a factor graph. Such a method includes providing a spiking neural network, having variable nodes interconnected with factor nodes, corresponding to the factor graph. Each of the nodes comprises a set of neurons configured to implement computational functionality of that node. The method further comprises generating, for each of a set of the random variables, at least one spike signal in which the probability of a possible value of that variable is encoded via the occurrence of spikes in the spike signal, and supplying the spike signals for the set of random variables as inputs to the neural network at respective variable nodes. The probability distributions are propagated via the occurrence of spikes in signals propagated through the neural network.
    Type: Grant
    Filed: September 6, 2018
    Date of Patent: December 14, 2021
    Assignee: International Business Machines Corporation
    Inventors: Giovanni Cherubini, Timoleon Moraitis, Abu Sebastian
  • Patent number: 11188236
    Abstract: A storage system and a method for storing a data segment, a storage capacity manager and a method for managing a capacity of a storage unit, and a storage tier relocation manager and a method for relocating a data segment. The storage system includes at least two storage tiers, an access pattern evaluator, a classification unit, a selector, and logic. The storage capacitor manager includes a monitoring unit and capacity managing unit. The storage tier relocation manager includes a target storage tier, the data segment relocated to the target storage tier, and a protection measure.
    Type: Grant
    Filed: June 20, 2018
    Date of Patent: November 30, 2021
    Assignee: International Business Machines Corporation
    Inventors: Giovanni Cherubini, Ilias Iliadis, Jens Jelitto, Vinodh Venkatesan
  • Publication number: 20210357725
    Abstract: A computer-implemented method for classification of an input element to an output class in a spiking neural network may be provided. The method comprises receiving an input data set comprising a plurality of elements, identifying a set of features and corresponding feature values for each element of the input data set, and associating each feature to a subset of spiking neurons of a set of input spiking neurons of the spiking neural network. Furthermore, the method comprises also generating, by the input spiking neurons, spikes at pseudo-random time instants depending on a value of the feature for a given input element, and classifying an element into a class depending on a distance measure value between output spiking patterns at output spiking neurons of the spiking neural network and a predefined target pattern related to the class.
    Type: Application
    Filed: May 13, 2020
    Publication date: November 18, 2021
    Inventors: Giovanni Cherubini, Ana Stanojevic, Abu Sebastian
  • Patent number: 11145323
    Abstract: A computer-implemented method, according to one embodiment, includes: receiving a first timestamp in response to a first servo reader detecting a stripe of a first servo burst on the magnetic tape, and receiving a second timestamp in response to a second servo reader detecting a stripe of a second servo burst on the magnetic tape. A third timestamp is received in response to the first servo reader detecting a stripe of a third servo burst on the magnetic tape, while a fourth timestamp is received in response to the second servo reader detecting a stripe of a fourth servo burst on the magnetic tape. The first, second, third, and fourth timestamps are used to determine the skew of the magnetic tape. Further still, the first and third servo bursts are in a same first servo sub-frame, while the second and fourth servo bursts are in a same second servo sub-frame.
    Type: Grant
    Filed: November 30, 2020
    Date of Patent: October 12, 2021
    Assignee: International Business Machines Corporation
    Inventors: Nhan Xuan Bui, Simeon Furrer, Giovanni Cherubini, Mark Alfred Lantz
  • Patent number: 11038984
    Abstract: The present invention is notably directed to a computer-implemented method of accessing data by an application. The method comprises detecting an application that is accessing an initial file stored in a storage system; fetching an application model of the detected application, the application model comprising an association between access patterns of the detected application when accessing first files with first metadata information of the said first files; identifying one or more second files stored in the storage system, the identified one or more second files having second metadata information that are similar to the first metadata information; and prefetching the identified one or more second files.
    Type: Grant
    Filed: August 26, 2019
    Date of Patent: June 15, 2021
    Assignee: International Business Machines Corporation
    Inventors: Giovanni Cherubini, Jens Jelitto, Vinodh Venkatesan
  • Patent number: 10971226
    Abstract: The device provides a resistive memory device for storing elements of hyper-dimensional vectors, in particular digital hyper-dimensional, as conductive statuses in components in particular in 2D-memristors, of the resistive memory device, wherein the resistive memory device provides a first crossbar array of the components, wherein the components are memristive 2D components addressable by word-lines and bit-lines, and a peripheral circuit connected to the word-lines and bit-lines and adapted for encoding operations by activating the word-lines and bit-lines sequentially in a predefined manner.
    Type: Grant
    Filed: May 30, 2019
    Date of Patent: April 6, 2021
    Assignees: International Business Machines Corporation, ETH ZURICH (EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZURICH)
    Inventors: Manuel Le Gallo-Bourdeau, Kumudu Geethan Karunaratne, Giovanni Cherubini, Abu Sebastian, Abbas Rahimi, Luca Benini
  • Publication number: 20210034962
    Abstract: Methods and apparatus are provided for memorizing data signals in a spiking neural network. For each data signal, such a method includes supplying metadata relating to the data signal to a machine learning model trained to generate an output signal, indicating a relevance class for a data signal, from input metadata for that data signal. The method includes iteratively supplying the data signal to a sub-assembly of neurons, interconnected via synaptic weights, of a spiking neural network and training the synaptic weights to memorize the data signal in the sub-assembly. The method further comprises assigning neurons of the network to the sub-assembly in dependence on the output signal of the model such that more relevant data signals are memorized by larger sub-assemblies. The data signal memorized by a sub-assembly can be subsequently recalled by activating neurons of that sub-assembly.
    Type: Application
    Filed: August 1, 2019
    Publication date: February 4, 2021
    Inventors: Giovanni Cherubini, Abu Sebastian
  • Patent number: 10861538
    Abstract: A sensor device comprising a computational memory and electronic circuitry. The sensor device is configured to receive an input signal, to compress the input signal into a compressed signal and to compute a reconstructed signal from the compressed signal. The electronic circuitry is configured to perform a reconstruction algorithm to compute the reconstructed signal. The computational memory is configured to compute the compressed signal and partial results of the reconstruction algorithm. A related method and a related design structure may be provided.
    Type: Grant
    Filed: June 4, 2019
    Date of Patent: December 8, 2020
    Assignee: International Business Machines Corporation
    Inventors: Manuel Le Gallo-Bourdeau, Abu Sebastian, Giovanni Cherubini
  • Publication number: 20200381048
    Abstract: A device for hyper-dimensional computing may be provided. The device comprises a resistive memory device for storing elements of hyper-dimensional vectors, in particular digital hyper-dimensional, as conductive statuses in components in particular in 2D-memristors, of the resistive memory device, wherein the resistive memory device comprises a first crossbar array of the components, wherein the components are memristive 2D components addressable by word-lines and bit-lines, and a peripheral circuit connected to the word-lines and bit-lines and adapted for encoding operations by activating the word-lines and bit-lines sequentially in a predefined manner.
    Type: Application
    Filed: May 30, 2019
    Publication date: December 3, 2020
    Inventors: Manuel Le Gallo-Bourdeau, Kumudu Geethan Karunaratne, Giovanni Cherubini, Abu Sebastian, Abbas Rahimi, Luca Benini
  • Publication number: 20200380384
    Abstract: A system for hyper-dimensional computing for inference tasks may be provided. The device comprises an item memory for storing hyper-dimensional item vectors, a query transformation unit connected to the item memory, the query transformation unit being adapted for forming a hyper-dimensional query vector from a query input and hyper-dimensional base vectors stored in the item memory, and an associative memory adapted for storing a plurality of hyper-dimensional profile vectors and for determining a distance between the hyper-dimensional query vector and the plurality of hyper-dimensional profile vectors, wherein the item memory and the associative memory are adapted for in-memory computing using memristive devices.
    Type: Application
    Filed: May 30, 2019
    Publication date: December 3, 2020
    Inventors: Kumudu Geethan Karunaratne, Manuel Le Gallo-Bourdeau, Giovanni Cherubini, Abu Sebastian, Abbas Rahimi, Luca Benini
  • Publication number: 20200379673
    Abstract: The invention is notably directed at a device for high-dimensional computing comprising an associative memory module. The associative memory module comprises one or more planar crossbar arrays. The one or more planar crossbar arrays comprise a plurality of resistive memory elements. The device is configured to program profile vector elements of profile hypervectors as conductance states of the resistive memory elements and to apply query vector elements of query hypervectors as read voltages to the one or more crossbar arrays. The device is further configured to perform a distance computation between the profile hypervectors and the query hypervectors by measuring output current signals of the one or more crossbar arrays. The invention further concerns a related method and a related computer program product.
    Type: Application
    Filed: May 30, 2019
    Publication date: December 3, 2020
    Inventors: Manuel Le Gallo-Bourdeau, Kumudu Geethan Karunaratne, Giovanni Cherubini, Abu Sebastian, Abbas Rahimi, Luca Benini
  • Patent number: 10770102
    Abstract: A tape drive-implemented method, according to one embodiment, includes: using information read from one or more servo bands on a magnetic tape to position a magnetic tape head relative to the magnetic tape. An array of data transducers is positioned along the magnetic tape head, the array extending perpendicular to a direction of travel of the magnetic tape. Moreover, a group of servo readers is positioned at each end of the array of data transducers. A distance between each of the immediately adjacent servo readers in each of the groups of servo readers is less than or equal to one third of a prespecified width of each of the servo bands. Furthermore, the distance between each of the servo readers in each of the groups and the prespecified width are both measured in a direction perpendicular to the direction of travel of the magnetic tape.
    Type: Grant
    Filed: May 21, 2019
    Date of Patent: September 8, 2020
    Assignee: International Business Machines Corporation
    Inventors: Nhan X. Bui, Giovanni Cherubini, Simeon Furrer, Mark A. Lantz, Kazuhiro Tsuruta