Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a computer chip floorplan. One of the methods includes obtaining netlist data for a computer chip; and generating a computer chip floorplan, comprising placing a respective node at each time step in a sequence comprising a plurality of time steps, the placing comprising, for each time step: generating an input representation for the time step; processing the input representation using a node placement neural network having a plurality of network parameters, wherein the node placement neural network is configured to process the input representation in accordance with current values of the network parameters to generate a score distribution over a plurality of positions on the surface of the computer chip; and assigning the node to be placed at the time step to a position from the plurality of positions using the score distribution.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a computer chip floorplan. One of the methods includes obtaining netlist data for a computer chip; and generating a computer chip floorplan, comprising placing a respective node at each time step in a sequence comprising a plurality of time steps, the placing comprising, for each time step: generating an input representation for the time step; processing the input representation using a node placement neural network having a plurality of network parameters, wherein the node placement neural network is configured to process the input representation in accordance with current values of the network parameters to generate a score distribution over a plurality of positions on the surface of the computer chip; and assigning the node to be placed at the time step to a position from the plurality of positions using the score distribution.

Abstract: The present disclosure relates generally to an integrated machine learning platform. The machine learning platform can convert machine learning models with different schemas into machine learning models that share a common schema, organize the machine learning models into model groups based on certain criteria, and perform pre-deployment evaluation of the machine learning models. The machine learning models in a model group can be evaluated or used individually or as a group. The machine learning platform can be used to deploy a model group and a selector in a production environment, and the selector may learn to dynamically select the model(s) from the model group in the production environment in different contexts or for different input data, based on a score determined using certain scoring metrics, such as certain business goals.

Abstract: The present disclosure relates generally to an integrated machine learning platform. The machine learning platform can convert machine learning models with different schemas into machine learning models that share a common schema, organize the machine learning models into model groups based on certain criteria, and perform pre-deployment evaluation of the machine learning models. The machine learning models in a model group can be evaluated or used individually or as a group. The machine learning platform can be used to deploy a model group and a selector in a production environment, and the selector may learn to dynamically select the model(s) from the model group in the production environment in different contexts or for different input data, based on a score determined using certain scoring metrics, such as certain business goals.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a computer chip floorplan. One of the methods includes obtaining netlist data for a computer chip; and generating a computer chip floorplan, comprising placing a respective node at each time step in a sequence comprising a plurality of time steps, the placing comprising, for each time step: generating an input representation for the time step; processing the input representation using a node placement neural network having a plurality of network parameters, wherein the node placement neural network is configured to process the input representation in accordance with current values of the network parameters to generate a score distribution over a plurality of positions on the surface of the computer chip; and assigning the node to be placed at the time step to a position from the plurality of positions using the score distribution.

Abstract: Disclosed are novel pharmaceutical formulations comprising (E)-1-(4-(5-Carbamoyl-2-(1-ethyl-3-methyl-1H-pyrazole-5-carboxamido)-7-(3-morpholinopropoxy)-1H-benzo[d]imidazol-1-yl)but-2-en-1-yl)-2-(1-ethyl-3-methyl-1H-pyrazole-5-carboxamido)-7-methoxy-1H-benzo[d]imidazole-5-carboxamide, processes for preparing the same, and methods of using the same.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a computer chip floorplan. One of the methods includes obtaining netlist data for a computer chip; and generating a computer chip floorplan, comprising placing a respective node at each time step in a sequence comprising a plurality of time steps, the placing comprising, for each time step: generating an input representation for the time step; processing the input representation using a node placement neural network having a plurality of network parameters, wherein the node placement neural network is configured to process the input representation in accordance with current values of the network parameters to generate a score distribution over a plurality of positions on the surface of the computer chip; and assigning the node to be placed at the time step to a position from the plurality of positions using the score distribution.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a computer chip floorplan. One of the methods includes obtaining netlist data for a computer chip; and generating a computer chip floorplan, comprising placing a respective node at each time step in a sequence comprising a plurality of time steps, the placing comprising, for each time step: generating an input representation for the time step; processing the input representation using a node placement neural network having a plurality of network parameters, wherein the node placement neural network is configured to process the input representation in accordance with current values of the network parameters to generate a score distribution over a plurality of positions on the surface of the computer chip; and assigning the node to be placed at the time step to a position from the plurality of positions using the score distribution.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a computer chip floorplan. One of the methods includes obtaining netlist data for a computer chip; and generating a computer chip floorplan, comprising placing a respective node at each time step in a sequence comprising a plurality of time steps, the placing comprising, for each time step: generating an input representation for the time step; processing the input representation using a node placement neural network having a plurality of network parameters, wherein the node placement neural network is configured to process the input representation in accordance with current values of the network parameters to generate a score distribution over a plurality of positions on the surface of the computer chip; and assigning the node to be placed at the time step to a position from the plurality of positions using the score distribution.

Abstract: The disclosure discloses methods and systems for intelligent copying of bound documents. The method includes receiving a selection of copying a bound document via a user interface. The user interface is presented to the user to input whether a starting page of the bound document for copying is a left-side page or a right-side page. Then, multiple pages of the bound document are scanned to generate corresponding scanned images. Finally, the generated scanned images are arranged in the same order as per the arrangement of pages in the original bound document.

Abstract: The embodiments herein provide a system and method for providing interactive multimedia and multi-lingual tour guide. The system and method presents an audio-visual tour of a place of interest to a user on his/her personal smart devices such as smartphone or tablet. The user is enabled to navigate through 360 degree panorama visuals of the place of interest such as a monument with a graphical user interface alone with audio support in multiple languages. On reaching near or at the place of interest the user connects to a locally installed hardware device present at the place of interest and browses the guided tour on the computing device of the user. The interactive multimedia and multi-lingual guided tour/panorama tour of the present invention is accessible even if the user is not present at or near the place of interest by connecting to the cloud servers provided by the system through internet.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a computer chip floorplan. One of the methods includes obtaining netlist data for a computer chip; and generating a computer chip floorplan, comprising placing a respective node at each time step in a sequence comprising a plurality of time steps, the placing comprising, for each time step: generating an input representation for the time step; processing the input representation using a node placement neural network having a plurality of network parameters, wherein the node placement neural network is configured to process the input representation in accordance with current values of the network parameters to generate a score distribution over a plurality of positions on the surface of the computer chip; and assigning the node to be placed at the time step to a position from the plurality of positions using the score distribution.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a computer chip floorplan. One of the methods includes obtaining netlist data for a computer chip; and generating a computer chip floorplan, comprising placing a respective node at each time step in a sequence comprising a plurality of time steps, the placing comprising, for each time step: generating an input representation for the time step; processing the input representation using a node placement neural network having a plurality of network parameters, wherein the node placement neural network is configured to process the input representation in accordance with current values of the network parameters to generate a score distribution over a plurality of positions on the surface of the computer chip; and assigning the node to be placed at the time step to a position from the plurality of positions using the score distribution.

Abstract: The present disclosure relates generally to an integrated machine learning platform. The machine learning platform can convert machine learning models with different schemas into machine learning models that share a common schema, organize the machine learning models into model groups based on certain criteria, and perform pre-deployment evaluation of the machine learning models. The machine learning models in a model group can be evaluated or used individually or as a group. The machine learning platform can be used to deploy a model group and a selector in a production environment, and the selector may learn to dynamically select the model(s) from the model group in the production environment in different contexts or for different input data, based on a score determined using certain scoring metrics, such as certain business goals.

Abstract: The embodiments herein provide a system and method for providing interactive multimedia and multi-lingual tour guide. The system and method presents an audio-visual tour of a place of interest to a user on his/her personal smart devices such as smartphone or tablet. The user is enabled to navigate through 360 degree panorama visuals of the place of interest such as a monument with a graphical user interface alone with audio support in multiple languages. On reaching near or at the place of interest the user connects to a locally installed hardware device present at the place of interest and browses the guided tour on the computing device of the user. The interactive multimedia and multi-lingual guided tour/panorama tour of the present invention is accessible even if the user is not present at or near the place of interest by connecting to the cloud servers provided by the system through internet.

Abstract: The present invention relates to process of enrichment of Boron isotopes by ion exchange chromatography by “Auto Cut” system using continuous Ion Exchange Chromatography. The process comprises development of borate band in the ion exchange chromatographic column; eluting said band without any regeneration in a manner where said ion exchange chromatographic columns comprises 3-9 chromatographic columns in groups of three columns each and connected in series with silicon tubes; and wherein said eluting agent is provided to first column of each said group of three columns; and wherein said enriched boron isotopes are obtained upto 90%.

Abstract: The present invention relates to a process of enriching element content in stable isotopes of light elements in ion-exchange chromatography. The process comprises development of band of light elements in a chromatographic column; elution of said band in a discontinuous basis so as to disconnect said chromatographic column at particular stage; and finally the process comprises of regeneration step.

Abstract: The present invention relates to a process of enriching element content in stable isotopes of light elements in ion-exchange chromatography. The process comprises development of band of light elements in a chromatographic column; elution of said band in a discontinuous basis so as to disconnect said chromatographic column at particular stage; and finally the process comprises of regeneration step.

Abstract: Provided is a system and method that acquires and aggregates information to determine the location of a user. Information from multiple sources is collected and evaluated. Location sources include mobile electronic devices such as mobile telephones, cell phones, hand-held computers, personal digital assistants, pagers, Global Positioning System (GPS) devices, and other pervasive computing devices. Satellite-based or network-based positioning technologies make ti possible to determine the geographic location of these wireless electronic devices and their coresponding user. Location sources also include computer-based models, schedules or calendars that gave a particular user's expected location depending on the date and time. Provided is a method for aggregating information to determine a user's location. Also provided is a system for executing the claimed method. Also provided is a service for providing the claimed method.