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公开(公告)号：US11269601B2
公开(公告)日：2022-03-08
申请号：US16455125
申请日：2019-06-27
Applicant: Intel Corporation
Inventor： Brian Cremeans , Marcos Emanuel Carranza , Krishna Surya , Mats Agerstam , Justin Gottschlich
Abstract: Apparatus, devices, systems, methods, and articles of manufacture for intent-based machine programming are disclosed. An example system categorize source code blocks includes a code repository accessor to access a code repository and select a source code block. The example system also includes a signature generator to generate a signature for the source code block, a collateral miner to extract collateral associated with the source code block, and a tokenizer to transform the source code block into tokens. In addition, the example system includes a function assessor to determine a function of the source code block based on the collateral and the tokens and an input/output determiner to determine an input and an output of the source code block based on the collateral and the signature. The example system further includes a tagger to categorize the source code block with the function, input, and output.
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公开(公告)号：US20220019666A1
公开(公告)日：2022-01-20
申请号：US17385589
申请日：2021-07-26
Applicant: Intel Corporation
Inventor： Mohammad Mejbah Ul Alam , Justin Gottschlich , Shengtian Zhou
Abstract: Methods, apparatus, systems and articles of manufacture to identify a side-channel attack are disclosed. Example instructions cause one or more processors to generate an event vector based on one or more counts corresponding to tasks performed by a central processing unit; determine distances between the event vector and weight vectors of neurons in a self-organizing map; select a neuron of the neurons that results based on a determined distance; identify neurons that neighbor the selected neuron; and update at least one of a weight vector of the selected neuron or weight vectors of the neighboring neurons based on the determined distance of the selected neuron.
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公开(公告)号：US20220012163A1
公开(公告)日：2022-01-13
申请号：US17483431
申请日：2021-09-23
Applicant: Intel Corporation
Inventor： Niranjan Hasabnis , Justin Gottschlich , Jeremie Dreyfuss , Amitai Armon , Itamar Ben-Ari , Oren David Kimhi
Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to detect code defects. An example apparatus includes repository interface circuitry to retrieve code repositories corresponding to a programming language of interest, tree generating circuitry to generate parse trees corresponding to code blocks contained in the code repositories, directed acyclic graph (DAG) circuitry to generate DAGs corresponding to respective ones of the parse trees, the DAGs including control flow information and data flow information, abstraction generating circuitry to abstract the DAGs, invariant identification circuitry to extract invariants from the abstracted DAGs, and DAG comparison circuitry to cluster respective ones of the extracted invariants to identify respective ones of the abstracted DAGs with common invariants.
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公开(公告)号：US20210304613A1
公开(公告)日：2021-09-30
申请号：US17227191
申请日：2021-04-09
Applicant: Intel Corporation
Inventor： Liuyang Yang , Yair Yona , Moreno Ambrosin , Xiruo Liu , Hosein Nikopour , Shilpa Talwar , Kathiravetpillai Sivanesan , Sridhar Sharma , Debabani Choudhury , Kuilin Clark Chen , Jeffrey Ota , Justin Gottschlich
Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to validate data communicated by a vehicle. An example apparatus an anomaly detector to, in response to data communicated by a vehicle, at least one of compare an estimated speed with a reported speed or compare a location of the vehicle with a reported location. The apparatus including the anomaly detector further to generate an indication of the vehicle in response to the comparison. The apparatus further includes a notifier to discard data sent by the vehicle and notify surrounding vehicles of the data communicated by the vehicle.
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公开(公告)号：US11074344B2
公开(公告)日：2021-07-27
申请号：US16226137
申请日：2018-12-19
Applicant: Intel Corporation
Inventor： Mohammad Mejbah Ul Alam , Justin Gottschlich , Shengtian Zhou
Abstract: Methods, apparatus, systems and articles of manufacture to identify a side-channel attack are disclosed. An example apparatus includes a vector-to-neuron processor to map an event vector to a neuron of a trained self-organizing map; a buffer processor to identify a task pair based on the neuron and an adjacent neuron of the neuron; a buffer to store data corresponding to the identified task pair; an attack identifier to, when information stored in the buffer corresponds to more than a threshold number of task pairs corresponding to the identified task pair, identify a malware attack; and a mitigation technique selector to select a technique for mitigating the malware attack.
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Patent Agency Ranking
56.发明申请公开(公告)号：US20210110308A1
公开(公告)日：2021-04-15
申请号：US17129821
申请日：2020-12-21
Applicant: Intel Corporation
Inventor： Justin Gottschlich
Abstract: Methods, apparatus, systems and articles of manufacture are disclosed for finding optimization opportunities in machine-readable instructions, the apparatus comprising, a cluster creator to utilize a semantic similarity model to create a first cluster of semantically similar machine-readable instruction snippets selected from a set of machine-readable instructions, a combination generator to identify a first combination of a subset of the semantically similar machine-readable instruction snippets from the first cluster of semantically similar machine-readable instruction snippets, and a snippet analyzer to utilize a syntactic similarity model to determine a syntactic similarity of the first combination of a subset of the semantically similar machine-readable instruction snippets from the first cluster of semantically similar machine-readable instruction snippets.
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公开(公告)号：US10956298B2
公开(公告)日：2021-03-23
申请号：US16234503
申请日：2018-12-27
Applicant: Intel Corporation
Inventor： Mohammad Mejbah Ul Alam , Jason Martin , Justin Gottschlich , Alexander Heinecke , Shengtian Zhou
Abstract: Methods, apparatus, systems and articles of manufacture are disclosed. An example system includes a memory accessed by a program of interest, a performance monitoring unit to collect first memory access information and second memory access information about an object accessed in the memory by the program of interest; and a leak detector to: determine a non-access period based on the first memory access information and an unsupervised machine learning model trained based on the program of interest; and detect a potential memory leak of the program of interest based on the second memory access information and the non-access period.
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58.发明申请公开(公告)号：US20190324458A1
公开(公告)日：2019-10-24
申请号：US16457030
申请日：2019-06-28
Applicant: Intel Corporation
Inventor： Bahareh Sadeghi , Hassnaa Moustafa , Shengtian Zhou , Jeffrey Ota , Justin Gottschlich
Abstract: Methods, apparatus, systems and articles of manufacture are disclosed that adjust autonomous vehicle driving software using machine programming. An example apparatus for adjusting autonomous driving software of a vehicle includes an input analyzer to determine a software adjustment based on an obtained driving input and a priority determiner to determine a priority level of the software adjustment. The apparatus further includes a program adjuster to, when the priority level is above a threshold, identify a parameter of the autonomous driving software of the vehicle associated with the software adjustment and adjust the parameter based on the software adjustment, the adjustment to the parameter to change driving characteristics of the vehicle.
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公开(公告)号：US20190321974A1
公开(公告)日：2019-10-24
申请号：US16455263
申请日：2019-06-27
Applicant: Intel Corporation
Inventor： Javier Felip Leon , David Israel Gonzalez Aguirre , Javier Sebastián Turek , Ignacio Javier Alvarez , Luis Carlos Maria Remis , Justin Gottschlich
IPC: B25J9/16
Abstract: Methods, apparatus, systems and articles of manufacture are disclosed for object manipulation via action sequence optimization. An example method disclosed herein includes determining an initial state of a scene, generating a first action phase sequence to transform the initial state of the scene to a solution state of the scene by selecting a plurality of action phases based on action phase probabilities, determining whether a first simulated outcome of executing the first action phase sequence satisfies an acceptability criterion and, when the first simulated outcome does not satisfy the acceptability criterion, calculating a first cost function output based on a difference between the first simulated outcome and the solution state of the scene, the first cost function output utilized to generate updated action phase probabilities.
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公开(公告)号：US20190318244A1
公开(公告)日：2019-10-17
申请号：US16455346
申请日：2019-06-27
Applicant: Intel Corporation
Inventor： Ignacio Javier Alvarez , Javier Felip Leon , David Israel Gonzalez Aguirre , Javier Sebastian Turek , Luis Carlos Maria Remis , Justin Gottschlich
Abstract: Methods, apparatus, systems and articles of manufacture to provide machine programmed creative support to a user are disclosed. An example apparatus include an artificial intelligence architecture to be trained based on previous inputs of the user; a processor to: implement a first machine learning model based on the trained artificial intelligence architecture; and predict a first action based on a current state of a computer program using the first machine learning model; implement a second machine learning model based on the trained artificial intelligence architecture; and predict a second action based on the current state of the computer program using the second machine learning model; and a controller to select a state based on the action that results in a state that is more divergent from the current state of the computer program.
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