International Business Machines Corporation

Asustek Computer Inc.

Yi-Chun Tsai

June-Ray Lin

Tzu-Ching Kuo

Ching-Wei Cheng

Ying-Chen Yu

Chih-Shien Lin

Hsiao-Yung Chen

Ji-Kuang Tan

Li-Chien Wu

Yung-Lun Lin

Cheng-Hsun Li

Pei-Hua Su

Providing inter-virtual agent communication between communication devices owned by different users is provided. A first communication channel and a second communication channel are established with a remote data processing system. A virtual agent-to-virtual agent handshake is performed during establishment of the first communication channel. Virtual agent commands are exchanged with a remote virtual agent located on the remote data processing system via the first communication channel. An action corresponding to a virtual agent command received from the remote virtual agent located on the remote data processing system is performed while a human conversation is conducted via the second communication channel.

Virtual personal agent leveraging natural language processing and machine learning

In an approach location allocation planning, one or more computing units determine at least one location matching model for a first current participating entity of a plurality of current participating entities of a current event, wherein an output of the location matching model indicates a matching degree between the first current participating entity and a current event location. The one or more computing units create at least one initial location allocation plan for the plurality of current participating entities of the event based, at least in part, on the at least one location matching model. The one or more computing units receive feedback from at least one of the plurality of current participating entities. Responsive to the feedback indicating acceptance of the initial location allocation plan, the one or more computing units determine a final location allocation plan based on the initial location allocation plan.

Location allocation planning

A first natural language document is received. The document includes unstructured data and a first table structure that includes a plurality of first table entries. The first table structure is identified based on the document. The first table structure is extracted from the document in response to the identifying. A first machine learning output is generated based on a first machine learning model and from the document. A second machine learning output is generated based on a second machine learning model and from the first table structure. The first output of the document and the second output of the first table structure are combined.

Machine learning on mixed data documents

A masking system and method for automatically masking sensitive user information on a webpage is provided. The method includes the steps of identifying a location of the first user data of the first type of sensitive user information on the webpage, updating an initial path to the first user data to account for changes to the initial path detected in response to repeated visits to the webpage, wherein the updated initial path to the first user data is stored as a stable path, locating a second user data associated with a second type of sensitive user information on the webpage, by accessing a central database containing path information to a location of the second user data on the webpage, and masking the first user data and the second user data on the webpage, using the stable path and the path information obtained from the central database.

Automatic masking of sensitive data

A computer device and frequency adjusting method for central processing unit are provided. The computer device including a CPU, a voltage regulator module, a clock generator, a power-on module, a chip set and an embedded controller. The power-on module activates the voltage regulator module, the clock generator and the CPU respectively. The voltage regulator module provides the operating voltage of the CPU. The clock generator provides the operating clock of the CPU. Before the CPU is activated, the embedded controller adjusts the operating clock and the operating voltage provided from the clock generator and the voltage regulator module the CPU, the CPU performs overclocking/downclocking directly by using the adjusted operating clock and the adjusted operating voltage after the CPU is activated.

Computer device and frequency adjusting method for central processing unit

A method for processing booting failure of a computer system is adapted for being performed at a computer. The method includes the following steps. First, a parameter selecting signal is generated according to a triggering signal by a control module. Second, a driving parameter is chosen from a look-up table according to the parameter selecting signal by a basic input output system (BIOS), and the driving parameter is loaded into the BIOS and provided to a driving module. Third, a memory is driven according to the driving parameter by the driving module. Fourth, the driving parameter is stored by BIOS.

System and method for processing booting failure of system

A method for tuning memory parameter values and a computer system using the same are disclosed. In the invention, the computer system provides an embedded controller which may accumulate a counting value and send a reset signal to reboot the computer system. Firstly, the embedded controller reloads a memory parameter value corresponding to the counting value. Then, the computer system executes a memory test procedure. When the memory test procedure successes, a BIOS stores the memory parameter value. On the contrary, when the memory test procedure fails, the embedded controller accumulates the counting value and sends the reset signal to reboot the computer system. The BIOS reloading another memory parameter value corresponding to the accumulated counting value and re-executes the memory test procedure.

Growing community of inventors

Taipei, Taiwan

Yi-Chun Tsai