Patents by Inventor Francesco Rossi

Francesco Rossi 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: 20200240076
    Abstract: The present invention relates to a process for preparing a microfibrous non-woven synthetic suede-like fabric, which does not require the use of organic solvents and which enables a soft finished product to be obtained that is provided with a good hand, that is elastic and with excellent resistance to yellowing and high durability.
    Type: Application
    Filed: July 31, 2018
    Publication date: July 30, 2020
    Inventors: Giovanni BELLONI, Carmine Carlo AMMIRATI, Giovanni ADDINO, Walter CARDINALI, Andrea BELLUCCI, Francesco PANETTI, Roberto PUOTI, David ZOPPITELLI, Elena PATRUCCO, Giovanni PALOMBA, Mirco ROSSI, Valentina BIANCHI, Francesco CASCIOTTA, Massimo ANGELETTI, Roberto MARRI, Sergio PECORARI
  • Publication number: 20200167193
    Abstract: The subject technology provides for dynamic task allocation for neural network models. The subject technology determines an operation performed at a node of a neural network model. The subject technology assigns an annotation to indicate whether the operation is better performed on a CPU or a GPU based at least in part on hardware capabilities of a target platform. The subject technology determines whether the neural network model includes a second layer. The subject technology, in response to determining that the neural network model includes a second layer, for each node of the second layer of the neural network model, determines a second operation performed at the node. Further the subject technology assigns a second annotation to indicate whether the second operation is better performed on the CPU or the GPU based at least in part on the hardware capabilities of the target platform.
    Type: Application
    Filed: January 29, 2020
    Publication date: May 28, 2020
    Inventors: Francesco ROSSI, Gaurav KAPOOR, Michael R. SIRACUSA, William B. MARCH
  • Patent number: 10664963
    Abstract: Artistic styles extracted from one or more source images may be applied to one or more target images, e.g., in the form of stylized images and/or stylized video sequences. The extracted artistic style may be stored as a plurality of layers in a neural network, which neural network may be further optimized, e.g., via the fusion of various elements of the network's architectures. An optimized network architecture may be determined for each processing environment in which the network will be applied. The artistic style may be applied to the obtained images and/or video sequence of images using various optimization methods, such as the use of scalars to control the resolution of the unstylized and stylized images, temporal consistency constraints, as well as the use of dynamically adjustable or selectable versions of Deep Neural Networks (DNN) that are responsive to system performance parameters, such as available processing resources and thermal capacity.
    Type: Grant
    Filed: July 11, 2018
    Date of Patent: May 26, 2020
    Assignee: Apple Inc.
    Inventors: Francesco Rossi, Xiaohuan C. Wang, Bartlomiej W. Rymkowski, Xiaojin Shi, Marco Zuliani, Alexey Marinichev
  • Patent number: 10661875
    Abstract: Hybrid boat comprising an internal combustion engine provided with a reversing device to allow at least one condition of forward movement and one of reverse movement of the boat, transmission means connected between said reversing device and a propeller or impeller, wherein said transmission means comprise a transfer box having a first inlet, a second inlet and a single outlet, and a first drive shaft interposed between said reversing device and said first inlet and a second drive shaft interposed between said single outlet and said propeller or impeller, and an electric motor operatively connected with said second inlet, wherein said transfer box comprises means for selectively connecting said internal combustion engine and/or said electric motor with said single outlet.
    Type: Grant
    Filed: July 11, 2017
    Date of Patent: May 26, 2020
    Assignee: FPT INDUSTRIAL S.P.A.
    Inventors: Francesco Bellio, Massimiliano Modica, Roberto Rossi, Alessandro Bernardini
  • Patent number: 10664718
    Abstract: Artistic styles extracted from one or more source images may be applied to one or more target images, e.g., in the form of stylized images and/or stylized video sequences. The extracted artistic style may be stored as a plurality of layers in a neural network, which neural network may be further optimized, e.g., via the fusion of various elements of the network's architectures. An optimized network architecture may be determined for each processing environment in which the network will be applied. The artistic style may be applied to the obtained images and/or video sequence of images using various optimization methods, such as the use of scalars to control the resolution of the unstylized and stylized images, temporal consistency constraints, as well as the use of dynamically adjustable or selectable versions of Deep Neural Networks (DNN) that are responsive to system performance parameters, such as available processing resources and thermal capacity.
    Type: Grant
    Filed: July 11, 2018
    Date of Patent: May 26, 2020
    Assignee: Apple Inc.
    Inventors: Bartlomiej W. Rymkowski, Francesco Rossi
  • Patent number: 10619556
    Abstract: An engine is equipped with a gas feeding system, including main gas injectors each associated with an intake duct of a respective engine cylinder, a gas distribution manifold communicating with said main injectors, a gas tank, connected to the manifold, where pressurized gas is accumulated, a controlled pressure valve interposed between the tank and manifold, and a control unit for controlling the pressure valve to establish a gas pressure in the manifold. A spark plug of each cylinder is mounted within a support body that defines a combustion pre-chamber and a channel for auxiliary gas injection within the pre-chamber, communicating with a respective auxiliary gas injector. The auxiliary gas injectors are in communication with the manifold, downstream of the pressure valve. In the channel, a non-return valve and a restricted passage are provided in series, providing for passage of gas flow proportional to a volume of the pre-chamber.
    Type: Grant
    Filed: July 23, 2018
    Date of Patent: April 14, 2020
    Assignee: C.R.F. Società Consortile per Azioni
    Inventors: Francesco Vattaneo, Dario Rossi, Roberto Saretto, Roberto Vitalesta, Massimiliano Garganese, Massimo Ferrera
  • Publication number: 20200082273
    Abstract: The subject technology runs a compiled neural network (NN) model on a particular processor with multiple priority queues for executing different processes, the compiled NN model being assigned to a particular priority queue, and the compiled NN model includes context switch instructions that were previously inserted into a neural network (NN) model from which the compiled NN model was compiled. The subject technology determines that a particular context switch instruction has been executed by the particular processor. The subject technology determines that a different process is waiting to be executed, the different process being assigned to a different priority queue and the different process being a higher priority process than the running compiled NN model. In response to executing the particular context switch instruction, the subject technology performs a context switch to the different process assigned to the different priority queue when the different process is waiting to be executed.
    Type: Application
    Filed: January 30, 2019
    Publication date: March 12, 2020
    Inventors: Francesco ROSSI, Cecile M. FORET, Gaurav KAPOOR, Kit-Man WAN, Umesh S. VAISHAMPAYAN, Etienne BELANGER
  • Publication number: 20200082274
    Abstract: The subject technology provides receiving a neural network (NN) model to be executed on a target platform, the NN model including multiple layers that include operations and some of the operations being executable on multiple processors of the target platform. The subject technology further sorts the operations from the multiple layers in a particular order based at least in part on grouping the operations that are executable by a particular processor of the multiple processors. The subject technology determines, based at least in part on a cost of transferring the operations between the multiple processors, an assignment of one of the multiple processors for each of the sorted operations of each of the layers in a manner that minimizes a total cost of executing the operations. Further, for each layer of the NN model, the subject technology includes an annotation to indicate the processor assigned for each of the operations.
    Type: Application
    Filed: January 30, 2019
    Publication date: March 12, 2020
    Inventors: Francesco ROSSI, Cecile M. FORET, Gaurav KAPOOR, Kit-Man WAN, Umesh S. VAISHAMPAYAN, Etienne BELANGER, Albert ANTONY, Alexey MARINICHEV, Marco ZULIANI, Xiaojin SHI
  • Patent number: 10585703
    Abstract: The subject technology provides for dynamic task allocation for neural network models. The subject technology determines an operation performed at a node of a neural network model. The subject technology assigns an annotation to indicate whether the operation is better performed on a CPU or a GPU based at least in part on hardware capabilities of a target platform. The subject technology determines whether the neural network model includes a second layer. The subject technology, in response to determining that the neural network model includes a second layer, for each node of the second layer of the neural network model, determines a second operation performed at the node. Further the subject technology assigns a second annotation to indicate whether the second operation is better performed on the CPU or the GPU based at least in part on the hardware capabilities of the target platform.
    Type: Grant
    Filed: September 29, 2017
    Date of Patent: March 10, 2020
    Assignee: APPLE INC.
    Inventors: Francesco Rossi, Gaurav Kapoor, Michael R. Siracusa, William B. March
  • Patent number: 10548758
    Abstract: A multifunctional hip brace comprises a retaining wrapping base of elastic fabric (12) comprising a side portion (13), a lumbar band (14a) and a thigh band (14b), wherein the lumbar band (14a) and the thigh band (14b) are placed at opposite ends of the side portion (13) and can be wrapped about the waist and about a thigh of the patient and can be clamped in adjustable positions through quick hooking means (16), wherein the side portion (13) is entirely made of fabric and wherein the elastic retaining wrapping base (12) comprises a plurality of arrangements (17?, 17?) for hooking additional accessory elements (18?, 18?) for selectively limiting the movements of the hip joint, such as an articulated rod (18?), said plurality of arrangements (17?, 17?) being externally constrainable in a removable manner to the side portion (13) through quick hooking means (19), and a pair of elastic pulling strips (18?) externally constrainable in a removable manner through quick hooking means (19), diagonally placed between t
    Type: Grant
    Filed: February 3, 2017
    Date of Patent: February 4, 2020
    Assignee: ORTHOSERVICE AG
    Inventors: Francesco Turconi, Paolo Rossi
  • Publication number: 20190225314
    Abstract: Hybrid boat comprising an internal combustion engine provided with a reversing device to allow at least one condition of forward movement and one of reverse movement of the boat, transmission means connected between said reversing device and a propeller or impeller, wherein said transmission means comprise a transfer box having a first inlet, a second inlet and a single outlet, and a first drive shaft interposed between said reversing device and said first inlet and a second drive shaft interposed between said single outlet and said propeller or impeller, and an electric motor operatively connected with said second inlet, wherein said transfer box comprises means for selectively connecting said internal combustion engine and/or said electric motor with said single outlet.
    Type: Application
    Filed: July 11, 2017
    Publication date: July 25, 2019
    Inventors: Francesco Bellio, Massimiliano Modica, Roberto Rossi, Alessandro Bernardini
  • Publication number: 20180349189
    Abstract: The subject technology provides for dynamic task allocation for neural network models. The subject technology determines an operation performed at a node of a neural network model. The subject technology assigns an annotation to indicate whether the operation is better performed on a CPU or a GPU based at least in part on hardware capabilities of a target platform. The subject technology determines whether the neural network model includes a second layer. The subject technology, in response to determining that the neural network model includes a second layer, for each node of the second layer of the neural network model, determines a second operation performed at the node. Further the subject technology assigns a second annotation to indicate whether the second operation is better performed on the CPU or the GPU based at least in part on the hardware capabilities of the target platform.
    Type: Application
    Filed: September 29, 2017
    Publication date: December 6, 2018
    Inventors: Francesco Rossi, Gaurav Kapoor, Michael R. Siracusa, William B. March
  • Publication number: 20180088996
    Abstract: A method may include accessing a data processing architecture associated with a neural network to determine dependencies between intermediate data layers of the neural network; obtaining dimensions of the intermediate data layers in the neural network; calculating a minimum number of data storage portions for executing the neural network based on the dependencies; determining a memory allocation size for each respective data storage portion of the data storage portions based on the dimensions and dependencies; allocating memory on a storage device for each data storage portion in accordance with its respective determined memory allocation size.
    Type: Application
    Filed: September 21, 2017
    Publication date: March 29, 2018
    Applicant: Apple Inc.
    Inventors: Francesco Rossi, Marco Zuliani
  • Patent number: 9895342
    Abstract: The present invention relates to cannabinoids for use in the treatment of neuropathic pain. Preferably the cannabinoids are one or more phytocannabinoids of: cannabigerol (CBG), cannabichromene (CBC), cannabidivarin (CBDV) or tetrahydrocannabivarin (THCV). More preferably the phytocannabinoids are isolated and/or purified from cannabis plant extracts.
    Type: Grant
    Filed: May 18, 2012
    Date of Patent: February 20, 2018
    Assignee: GW Pharma Limited
    Inventors: Sabatino Maione, Francesco Rossi, Geoffrey Guy, Colin Stott, Tetsuro Kikuchi
  • Publication number: 20140378539
    Abstract: The present invention relates to cannabinoids for use in the treatment of neuropathic pain. Preferably the cannabinoids are one or more phytocannabinoids of: cannabigerol (CBG), cannabichromene (CBC), cannabidivarin (CBDV) or tetrahydrocannabivarin (THCV). More preferably the phytocannabinoids are isolated and/or purified from cannabis plant extracts.
    Type: Application
    Filed: May 18, 2012
    Publication date: December 25, 2014
    Applicants: Otsuka Pharmaceutical Co., Limited, GW Pharma Limited
    Inventors: Sabatino Maione, Francesco Rossi, Geoffrey Guy, Colin Stott, Tetsuro Kikuchi
  • Publication number: 20140107192
    Abstract: The present invention relates to cannabinoids for use in the treatment of neuropathic pain. Preferably the cannabinoids are one or more phytocannabinoids of: cannabigerol (CBG), cannabichromene (CBC), cannabidivarin (CBDV) or tetrahydrocannabivarin (THCV). More preferably the phytocannabinoids are isolated and/or purified from cannabis plant extracts.
    Type: Application
    Filed: May 18, 2012
    Publication date: April 17, 2014
    Applicants: Otsuka Pharmaceutical Co., Limited, GW Pharma Limited
    Inventors: Sabatino Maione, Francesco Rossi, Geoffrey Guy, Colin Stott, Tetsuro Kikuchi
  • Patent number: 8181083
    Abstract: An embodiment of a decoder for decoding a Low-Density Parity-Check encoded input data includes a serial processing unit operating in clock cycles to perform serial update of the layers in the code. Operations of the serial processing unit to produce output data for a current layer are pipelined with acquisition of input data for a next layer, whereby the current layer and the next layer may attempt to use soft output information common to both layers. The serial processing unit is configured for delaying acquisition of input data for the next layer over a number of idle clock cycles. Latency due to the idle clock cycles is minimized by selectively modifying the sequence of layers through the decoding process and the sequence of messages processed by a certain layer.
    Type: Grant
    Filed: August 27, 2007
    Date of Patent: May 15, 2012
    Assignee: STMicroelectronics S.r.l.
    Inventors: Massimo Rovini, Francesco Rossi, Luca Fanucci
  • Publication number: 20100303896
    Abstract: Compound of formula (I), wherein the symbol have the meaning reported in the text; for preparing a medicament for the prevention and/or treatment of obstructive vascular lesions following vascular surgery and for the prevention and/or treatment of diseases due to organ fibrosis.
    Type: Application
    Filed: June 4, 2008
    Publication date: December 2, 2010
    Applicant: SIGMA-TAU INDUSTRIE FARMACEUTICHE RIUNITE S.P.A.
    Inventors: Liberato Berrino, Antonio Cascino, Marilena Cipollaro, Amalia Forte, Francesco Rossi, Giuseppe Bianchi, Patrizia Ferrari
  • Publication number: 20090063931
    Abstract: An embodiment of a decoder for decoding a Low-Density Parity-Check encoded input data includes a serial processing unit operating in clock cycles to perform serial update of the layers in the code. Operations of the serial processing unit to produce output data for a current layer are pipelined with acquisition of input data for a next layer, whereby the current layer and the next layer may attempt to use soft output information common to both layers. The serial processing unit is configured for delaying acquisition of input data for the next layer over a number of idle clock cycles. Latency due to the idle clock cycles is minimized by selectively modifying the sequence of layers through the decoding process and the sequence of messages processed by a certain layer.
    Type: Application
    Filed: August 27, 2007
    Publication date: March 5, 2009
    Inventors: Massimo Rovini, Francesco Rossi, Luca Fanucci
  • Patent number: 6866712
    Abstract: A fibrous reinforcing material (1) is envisaged which is produced from glass filaments (2), advantageously consisting of fragments of glass yarns (3) or of chopped yarns, having a mean diameter of greater than five micrometers and a mean length of greater than six millimeters. The process comprises a selection step (4a, 4b) during which the glass yarns (3) consisting of filaments having a diameter greater than or equal to five micrometers and less than or equal to twenty-four micrometers are chosen, optionally a step (5) of mixing the selected yarns, and a milling step (6) during which the mixed yarns are chopped into filaments (2) having a length of greater than or equal to six millimeters. Advantageously, the fibrous material is in the form of flakes.
    Type: Grant
    Filed: April 12, 2000
    Date of Patent: March 15, 2005
    Assignee: Saint-Gobain Vetrotex France S.A.
    Inventors: Francesco Rossi, Antonio Ferrante