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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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公开(公告)号:US20190317965A1
公开(公告)日:2019-10-17
申请号:US16457203
申请日:2019-06-28
Applicant: Intel Corporation
Inventor: Luis Carlos Maria Remis , Ignacio Javier Alvarez , Li Chen , Javier Felip Leon , David Israel Gonzalez Aguirre , Justin Gottschlich , Javier Sebastian Turek
IPC: G06F16/9032 , G06F16/9038 , G06F16/2457
Abstract: Methods and apparatus to facilitate generation of database queries are disclosed. An example apparatus includes a generator to generate a global importance tensor. The global importance tensor based on a knowledge graph representative of information stored in a database. The knowledge graph includes objects and connections between the objects. The global importance tensor includes importance values for different types of the connections between the objects. The example apparatus further includes an importance adaptation analyzer to generate a session importance tensor based on the global importance tensor and a user query, and a user interface to provide a suggested query to a user based on the session importance tensor.
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公开(公告)号:US20190317739A1
公开(公告)日:2019-10-17
申请号:US16455216
申请日:2019-06-27
Applicant: Intel Corporation
Inventor: Javier Sebastian Turek , Javier Felip Leon , Luis Carlos Maria Remis , David Israel Gonzalez Aguirre , Ignacio Javier Alvarez , Justin Gottschlich
Abstract: Methods and apparatus to automatically generate code for graphical user interfaces are disclosed. An example apparatus includes a textual description analyzer to encode a user-provided textual description of a GUI design using a first neural network. The example apparatus further includes a DSL statement generator to generate a DSL statement with a second neural network. The DSL statement is to define a visual element of the GUI design. The DSL statement is generated based on at least one of the encoded textual description or a user-provided image representative of the GUI design. The example apparatus further includes a rendering tool to render a mockup of the GUI design based on the DSL statement.
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