公开(公告)号：US20200322528A1

公开(公告)日：2020-10-08

申请号：US16907872

申请日：2020-06-22

Applicant: Intel Corporation

Inventor： Mateo Guzman ,  Javier Turek ,  Marcos Carranza ,  Cesar Martinez-Spessot ,  Dario Oliver ,  Javier Felip Leon Felip Leon ,  Mariano Tepper

IPC: H04N5/232 ,  H04N7/18 ,  G06K9/00 ,  G06T7/70

Abstract: Systems, apparatuses and methods may provide for technology that detects an unidentified individual at a first location along a trajectory in a scene based on a video feed of the scene, wherein the video feed is to be associated with a stationary camera, and selects a non-stationary camera from a plurality of non-stationary cameras based on the trajectory and one or more settings of the selected non-stationary camera. The technology may also automatically instruct the selected non-stationary camera to adjust at least one of the one or more settings, capture a face of the individual at a second location along the trajectory, and identify the unidentified individual based on the captured face of the unidentified individual.

公开(公告)号：US20190317885A1

公开(公告)日：2019-10-17

申请号：US16455380

申请日：2019-06-27

Applicant: Intel Corporation

Inventor： Alexander Heinecke ,  Cesar Martinez-Spessot ,  Dario Oliver ,  Justin Gottschlich ,  Marcos Carranza ,  Mateo Guzman ,  Mats Agerstam

IPC: G06F11/36 ,  G06F21/62

Abstract: Apparatus, systems, methods, and articles of manufacture for automated quality assurance and software improvement are disclosed. An example apparatus includes a data processor to process data corresponding to events occurring with respect to a software application in i) a development and/or a testing environment and ii) a production environment. The example apparatus includes a model tool to: generate a first model of expected software usage based on the data corresponding to events occurring in the development and/or the testing environment; and generate a second model of actual software usage based on the data corresponding to events occurring in the production environment. The example apparatus includes a model comparator to compare the first model to the second model. The example apparatus includes a correction generator to generate an actionable recommendation to adjust the development and/or the testing environment to reduce a difference between the first model and the second model.

公开(公告)号：US20250086424A1

公开(公告)日：2025-03-13

申请号：US18953955

申请日：2024-11-20

Applicant: Intel Corporation

Inventor： Karthik Kumar ,  Marcos Carranza ,  Patrick Connor

IPC: G06N3/042 ,  G06N3/063

Abstract: Deployment of resources utilizing improved mixture of experts processing is described. An example of an apparatus includes one or more network ports; one or more direct memory access (DMA) engines; and circuitry for mixture of experts (MoE) processing in the network, wherein the circuitry includes at least circuitry to track routing of tokens in MoE processing, prediction circuitry to generate predictions regarding MoE processing, including predicting future token loads for MoE processing, and routing management circuitry to manage the routing of the tokens in MoE processing based at least in part on the predictions regarding the MoE processing.

公开(公告)号：US20250068457A1

公开(公告)日：2025-02-27

申请号：US18944987

申请日：2024-11-12

Applicant: Intel Corporation

Inventor： Marcos Carranza ,  Karthik Kumar ,  Mariano Ortega De Mues ,  Mateo Guzman ,  Patrick Connor ,  Cesar Martinez-Spessot

IPC: G06F9/455

Abstract: An apparatus includes a host interface; a network interface; and a programmable circuitry communicably coupled to the host interface and the network interface, the programmable circuitry comprising one or more processors to implement network interface functionality and to: determine portions of a set of computer vision (CV) processes to be deployed on the programmable circuitry and a host device, wherein the host device to be communicably coupled to the programmable network interface device; access instructions to cause the portions of the set of the CV processes to be deployed on the host device and the programmable network interface device; and wherein a media processing portion of the set of the CV processes is to be deployed to the programmable circuitry, and wherein the programmable circuitry is to utilize media processing hardware circuitry hosted by the apparatus to perform the media processing portion.

公开(公告)号：US20250068438A1

公开(公告)日：2025-02-27

申请号：US18945955

申请日：2024-11-13

Applicant: Intel Corporation

Inventor： Mateo Guzman ,  Marcos Carranza ,  Daniel Biederman ,  Chihjen Chang ,  Jeremy Petsinger ,  Yadong Li ,  Mitu Aggarwal ,  Suyog Kulkarni ,  Mariano Ortega de Mues ,  Rajesh Poornachandran ,  Cesar Martinez ,  Mats Agerstam ,  Francesc Guim Bernat ,  Karthik Kumar ,  Usharani Ayyalasomayajula

IPC: G06F9/445

Abstract: Described herein are technique to enable the autonomous generation of configurations for a network environment, including but not limited to an edge network of a datacenter. Additional embodiments include prompt-based generation of network and device configurations and neural network based systems for adaptive network management.

公开(公告)号：US20240407142A1

公开(公告)日：2024-12-05

申请号：US18799263

申请日：2024-08-09

Applicant: INTEL CORPORATION

Inventor： Francesc Guim Bernat ,  Karthik Kumar ,  Uzair Qureshi ,  Marcos Carranza ,  Marek Piotrowski

IPC: H05K7/20

Abstract: Hybrid and adaptive cooling systems are described. A method comprises selecting a cooling system type from a set of cooling system types of a hybrid cooling system to cool an electronic component of an electronic device, generating a control directive to activate a cooling component of the cooling system type, and performing thermal management of the electronic component of the electronic device using the cooling component of the cooling system type. Other embodiments are described and claimed.

公开(公告)号：US11880287B2

公开(公告)日：2024-01-23

申请号：US18062950

申请日：2022-12-07

Applicant: Intel Corporation

Inventor： Rajesh Poornachandran ,  Marcos Carranza ,  Kshitij Arun Doshi ,  Francesc Guim Bernat ,  Karthik Kumar

IPC: G06F11/00 ,  G06F11/20

CPC classification number: G06F11/2025 ,  G06F11/2028 ,  G06F2201/85

Abstract: Embodiments described herein are generally directed to intelligent management of microservices failover. In an example, responsive to an uncorrectable hardware error associated with a processing resource of a platform on which a task of a service is being performed by a primary microservice, a failover trigger is received by a failover service. A secondary microservice is identified by the failover service that is operating in lockstep mode with the primary microservice. The secondary microservice is caused by the failover service to takeover performance of the task in non-lockstep mode based on failover metadata persisted by the primary microservice. The primary microservice is caused by the failover service to be taken offline.

公开(公告)号：US11750472B2

公开(公告)日：2023-09-05

申请号：US18067062

申请日：2022-12-16

Applicant: Intel Corporation

Inventor： Rajesh Poornachandran ,  Marcos Carranza

IPC: H04L41/5009 ,  H04L43/55 ,  G06F9/455

CPC classification number: H04L41/5009 ,  G06F9/45558 ,  H04L43/55 ,  G06F2009/45595

Abstract: An apparatus to facilitate telemetry targeted query injection for enhanced debugging in microservices architectures is disclosed. The apparatus includes one or more processors to: identify contextual trace of a previous query recorded in collected data of a service, where microservices of the service responded to the previous query; access an interdependency flow graph representing an architecture and interaction of microservices deployed for a service; retrieve, based on the interdependency flow graph, telemetry data of the microservices corresponding to the contextual trace; identify, based on the telemetry data, an activation profile corresponding to the previous query, the activation profile detailing a response of the microservices to the previous query; compare the activation profile to a correlation profile for the previous query to detect whether an anomaly occurred in the service in response to the previous query; and recommend a modified query based on detection of the anomaly.

公开(公告)号：US20230205652A1

公开(公告)日：2023-06-29

申请号：US18062950

申请日：2022-12-07

Applicant: Intel Corporation

Inventor： Rajesh Poornachandran ,  Marcos Carranza ,  Kshitij Arun Doshi ,  Francesc Guim Bernat ,  Karthik Kumar

IPC: G06F11/20

CPC classification number: G06F11/2025 ,  G06F11/2028 ,  G06F2201/85

Abstract: Embodiments described herein are generally directed to intelligent management of microservices failover. In an example, responsive to an uncorrectable hardware error associated with a processing resource of a platform on which a task of a service is being performed by a primary microservice, a failover trigger is received by a failover service. A secondary microservice is identified by the failover service that is operating in lockstep mode with the primary microservice. The secondary microservice is caused by the failover service to takeover performance of the task in non-lockstep mode based on failover metadata persisted by the primary microservice. The primary microservice is caused by the failover service to be taken offline.

公开(公告)号：US20230195547A1

公开(公告)日：2023-06-22

申请号：US17556682

申请日：2021-12-20

Applicant: Intel Corporation

Inventor： Marcos Carranza ,  Cesar Martinez-Spessot ,  Mateo Guzman ,  Francesc Guim Bernat ,  Karthik Kumar ,  Rajesh Poornachandran ,  Kshitij Arun Doshi

IPC: G06F9/54 ,  H04L67/133

CPC classification number: G06F9/547 ,  H04L67/40

Abstract: Embodiments described herein are generally directed to the use of sidecars to perform dynamic API contract generation and conversion. In an example, a first call by a first microservice to a first API of a second microservice is intercepted by a first sidecar of the first microservice. The first API is of a first API type of multiple API types and is specified by a first contract. An API type of the multiple API types is selected by the first sidecar. Responsive to determining the selected API type differs from the first API type, based on the first contract, a second contract is generated by the first sidecar specifying a second API of the selected API type; and a second sidecar of the second microservice is caused to generate the second API and internally connect the second API to the first API based on the second contract.