International Business Machines Corporation

Chinese Academy of Sciences

Toyota Jidosha Kabushiki Kaisha

Omnissa, LLC

Toyota Motor (china) Investment Co., Ltd.

Boe Technology Group Co., Ltd.

Ordos Yuansheng Optoelectronics Co., Ltd.

Beijing Horizon Robotics Technology Research and Development Co., Ltd.

Xing Wei

Jing James Xu

Ruchi Mahindru

Anca Sailer

Xue Ying Zhang

Gautam Kar

Huilong Zhu

Dong Hai Yu

Jian Jun Wang

Tomoki Kodan

Yasuhisa Fujiwara

Huanhuan Zhang

Yanjun Shang

Dan Jang

Bo Liu

Yun Qiu

Xiao Ming Ma

Xiaodong Zhang

Lei Tian

Jun Song Wang

Si Er Han

Xiang Feng

Ji Hui Yang

Damir Spisic

Jun Wang

Chun Lei Xu

A Peng Zhang

Yue Sun

Hongsheng Li

Yan Xa Zhou

Yao Dong Liu

Jiang Bo Kang

Haiwei Zhao

Baoshun Zhang

Min Qu

Bo Song

Yuan Cheng

Dongyu Zhao

Xiao Bin Sun

Zhaohan Ren

Zhenglong Zhu

Hua Feng Hong

Xiao Bing Yan

Kai Xa Li

Hua Xa Li

Desheng Zhao

Liu Zhen Duo

Wei Shan Ws Kang

Zhe Shao

Yitong Zhao

Jun Qi Zhang

Zhiyuan Wang

A computer-implemented system, platform, programing product, and/or method for improving transformation selection in an ensemble machine learning (ML) model that includes: providing all base ML models of the ensemble ML model; identifying all of a plurality of Derived Fields in all the base ML models; performing a Derived Field run prediction analysis for all the Derived Fields; computing the Derived Field Importance Weight for Field (DFIW4F) and the Derived Field Importance Weight for Model (DFIW4M) for all the Derived Fields; clustering all the Derived Fields into a plurality of Derived Field clusters, wherein each Derived Field cluster is based upon the DFIW4M and the DFIW4F for the Derived Field; sorting all the Derived Field clusters by best cluster based upon DFIW4M and DFIW4F; and running the base ML models based upon the Derived Fields in the best Derived Field cluster until sufficient base ML models have been run.

System and method for efficient transformation prediction in a data analytics prediction model pipeline

An example method of uniform resource locator (URL) redirection between a client device and a remote system executing a remote desktop accessed by the client device is described. The method includes intercepting, by an extension of a first web browser, a URL selected to be opened on the first web browser, the first web browser and the extension executing on a first system in communication with a second system, the first system and the second system being the client device and the remote system respectively or vice versa; forwarding, by the extension, the URL to a native process executing on the first system; determining, by the native process, an internet protocol (IP) address of the URL; forwarding the URL and the IP address to the second system; and opening, by the second system, the URL on a second web browser executing in the second system.

Redirection between local and remote systems for web browsers

A system is described for redirecting multimedia in a collaborative session on a virtual desktop. The virtual desktop session can be established, and collaborator virtual desktop clients can be connected in a collaborative session where each collaborator can view the desktop GUI in their respective virtual desktop client. A request can be received to play media in a media player in the virtual desktop. The media stream can be intercepted in the virtual desktop before it is rendered in the media player and conveyed to each collaborator's client over a separate virtual channel established between the virtual desktop and each collaborator. The data stream can then be rendered in a client media player by each collaborator's client.

Multimedia redirection in collaborative sessions on virtual desktops

A computer implemented method for managing datasets for a histogram. The method uses a number of processor units to determine a first span for first bins containing first datapoints in a first dataset in the datasets. The first span is determined based a distribution of the first datapoints in the first dataset and a desired number of bins. The number of processor units adjusts a second span for second bins containing second datapoints in a second dataset in the datasets to form an adjusted span that matches the first span for the first bins. The number of processor units merges the first datapoints in the first bins having the first span with the second datapoints in the second bins having the adjusted span to form a merged dataset for the histogram.

Data merging in distributed computing system

The present disclosure provides an instruction execution method, device, and electronic equipment. In the instruction execution method described above, after obtaining an exceptional signal generated by a neural network processor during an operation, the electronic equipment determines an exception processing instruction corresponding to the exceptional signal according to the exceptional signal, then it determines a first instruction queue needed to be executed by the neural network processor, and then it generates a second instruction queue based on the exception processing instruction and the first instruction queue, and finally it controls the neural network processor to execute the second instruction queue, so that errors encountered by the neural network processor can be timely processed, thereby shortening the error processing delay and improving the data processing efficiency of the hardware system in the electronic equipment.

Method and device for executing instructions to perform artificial intelligence

A group III nitride transistor structure capable of reducing a leakage current and a fabricating method thereof are provided. The group III nitride transistor structure includes: a first heterojunction and a second heterojunction which are laminated, wherein the first heterojunction is electrically isolated from the second heterojunction via a high resistance material and/or insertion layer; a first electrode, a second electrode and a first gate which are matched with the first heterojunction, wherein a third semiconductor is arranged between the first gate and the first heterojunction, and the first gate is also electrically connected with the first electrode; a source, a drain and a second gate which are matched with the second heterojunction, wherein the source and the drain are also respectively electrically connected with the first gate and the second electrode, and a sixth semiconductor is arranged between the second gate and the second heterojunction.

Group III nitride transistor structure capable of reducing leakage current and fabricating method thereof

In an approach to improve video searching embodiments execute heuristic video searching based on importance of semantic features. Embodiments perform hierarchical aggregation of a parsed video into one or more clusters of video excerpts based on a plurality of video features, and display a word cloud to a user to guide feedback. Embodiments traverse the one or more clusters based on a data structure of the hierarchical aggregation and the feedback. Additionally, responsive to reaching selected leaf nodes of the data structure, embodiments generate one or more snapshots of the video excerpts associated with the leaf nodes, wherein the leaf nodes are selected based on the feedback. Further, embodiments display the one or more generated snapshots of the video excerpts to the user.

Heuristic video searching

A set of classifiable data containing a plurality of classes is ingested. A target class within the plurality of classes is determined. Using the set of classifiable data, an interactive recall rate chart is generated, and the interactive recall rate chart shows a set of target class recall rates against a set of class recall rates for the remainder of the plurality of classes. The interactive recall rate chart is presented to a user. A target class recall rate selection from the set of target class recall rates is received from the user. The set of classifiable data is reclassified, based on the target class recall rate selection.

Target class analysis heuristics

Embodiments relate to a system, computer program product, and method for determining missing values in respective data records with an explanatory analysis to provide a context of the determined values. Such method includes receiving a dataset including incomplete data records that are missing predictors and complete data records. A model is trained with the complete data records and candidate predictors for the missing predictors are generated. A predictor importance value is generated for each candidate predictor and the candidate predictors that have a predictor importance value in excess of a first threshold value are promoted. Respective promoted candidate predictors are inserted into the respective incomplete data records, thereby creating tentative data records. The tentative data records are injected into the model, a fit value is determined for each of the tentative data records, and a tentative data record with a fit value exceeding a second threshold value is selected.

Explanative analysis for records with missing values

Identifying relations between items in transactions. Local conditional frequency pattern trees are generated in processing nodes in a computer system. The nodes in the local conditional frequency pattern trees represent items and a frequency of the items in the transactions. Global conditional frequency pattern trees are generated in the processing nodes. Each processing node in the processing nodes generates a global conditional frequency pattern tree using a set of local conditional frequency pattern trees in the processing node. The global conditional frequency pattern trees generated by the processing nodes are distributed such that each processing node in the processing nodes has the global conditional frequency pattern trees generated by other processing nodes. Patterns are generated by the computer system. A set of rules is generated using the patterns and the global conditional frequency pattern trees in the processing nodes, wherein the set of rules define the relations between the items.

Association rule mining system

Provided are a semiconductor device having a charged punch-through stopper (PTS) layer to reduce punch-through and a method of manufacturing the same. In an embodiment, the semiconductor device may include a fin structure formed on a substrate; an isolation layer formed on the substrate, wherein a portion of the fin structure above the isolation layer acts as a fin of the semiconductor device; a charged PTS layer formed on side walls of a portion of the fin structure beneath the fin; and a gate stack formed on the isolation layer and intersecting the fin. The semiconductor device may be an n-type device or a p-type device. For the n-type device, the PTS layer may have net negative charges, and for the p-type device, the PTS layer may have net positive charges.

Semiconductor devices having charged punch-through stopper layer to reduce punch-through and methods of manufacturing the same

A system and method of optimizing tree pruning for a decision tree may include splitting, a first dataset into a training dataset and a testing dataset, growing the training dataset into a first decision tree, sampling the training dataset by creating a plurality of sampling datasets from the training dataset, pruning the first decision tree using the plurality of sampling datasets, creating a plurality of models, at least one for each of the plurality of sampling datasets, and verifying the accuracy of each of the plurality of models, using the testing dataset.

Optimizing tree pruning for decision trees

A wireless communication device mounted on a mobile object, the mobile object including: a mobile communication unit that is able to connect to a mobile communication network; and a wireless network connection unit that provides a wireless network connection service based on the mobile communication network connected by the mobile communication unit, the wireless communication device includes: a satellite positioning unit configured to acquire position information on the wireless communication device based on a satellite positioning system; and a control unit configured to control a connection state of the wireless network connection service based on the position information acquired by the satellite positioning unit.

Wireless communication device mountable on mobile object, monitoring control system of wireless communication device mountable on mobile object, monitoring control method of wireless communication device mountable on mobile object, and remote control center

Provided are a CMOS device having a charged punch-through stopper (PTS) layer to reduce punch-through and a method of manufacturing the same. In an embodiment, the CMOS semiconductor device includes an n-type device and a p-type device. The n-type device and the p-type device each may include: a fin structure formed on a substrate; an isolation layer formed on the substrate, wherein a portion of the fin structure above the isolation layer acts as a fin of the n-type device or the p-type device; a charged PTS layer formed on side walls of a portion of the fin structure beneath the fin; and a gate stack formed on the isolation layer and intersecting the fin. For the n-type device, the PTS layer has net negative charges, and for the p-type device, the PTS layer has net positive charges.

CMOS devices having charged punch-through stopper layer to reduce punch-through and methods of manufacturing the same

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Beijing, China

Xing Wei