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    Method, system, and computer program (product) for secret (in-private) browsing
    1.
    发明专利
    Method, system, and computer program (product) for secret (in-private) browsing 有权
    方法，系统和计算机程序（产品）的秘密（私人）浏览

    公开(公告)号：JP2012194970A

    公开(公告)日：2012-10-11

    申请号：JP2012042882

    申请日：2012-02-29

    Applicant: Internatl Business Mach Corp ,  インターナショナル・ビジネス・マシーンズ・コーポレーションInternational Business Maschines Corporation

    Inventor： TARA N SAINATH ,  DIMITRI KANEVSKY ,  JAMES ROBERT KOZLOSKI ,  CLIFFORD ALAN PICKOVER

    IPC: G06F21/24 ,  G06F13/00

    CPC classification number: G06F17/30899

    Abstract: PROBLEM TO BE SOLVED: To provide a method, a system, and a computer program product for operating a web browser in an open browsing mode and a private browsing mode.SOLUTION: The method can includes a step of calculating privacy probability of inclusion of information that one web site likes to keep secret for a user by a computer processor. The privacy probability can be based at least partially upon a past use state of a private browsing mode by the user. Further, the method can include a step of comparing the privacy probability with some privacy threshold and automatically changing a browser from an open browsing mode to the private browsing mode for the web site when the privacy probability is larger than the privacy threshold.

    Abstract translation: 要解决的问题：提供一种用于以开放浏览模式和私人浏览模式操作网络浏览器的方法，系统和计算机程序产品。 解决方案：该方法可以包括计算隐私概率的步骤，该隐私概率包括一个网站喜欢用计算机处理器为用户保密的信息。 隐私概率可以至少部分地基于用户的私人浏览模式的过去使用状态。 此外，该方法可以包括将隐私概率与一些隐私阈值进行比较的步骤，并且当隐私概率大于隐私阈值时，将浏览器从打开的浏览模式自动地改变为用于网站的私人浏览模式。 版权所有（C）2013，JPO＆INPIT

    Discovering and using informative looping signals in a pulsed neural network having temporal encoders
    3.
    发明专利
    Discovering and using informative looping signals in a pulsed neural network having temporal encoders 未知

    公开(公告)号：GB2550310B

    公开(公告)日：2018-05-09

    申请号：GB201713175

    申请日：2016-01-14

    Applicant: IBM

    Inventor： JAMES ROBERT KOZLOSKI

    IPC: G06N3/04 ,  G06N3/063

    Abstract: Embodiments are directed to a computer network having pathways. The network includes a plurality of units configured to communicate through the pathways. The network is configured to identify informative looping signals in loops formed from a plurality of network pathways that connect a first one of the plurality of units to a second one of the plurality of units. The network is further configured to apply spike-timing dependent plasticity (STDP) dependent inhibitory gating to the plurality of network pathways. The network is further configured to phase shift open gates and close gates in the loop by applying STDP functions to open gate outputs and closed gates outputs. The network is further configured to make a rate and a direction of the phase shift dependent on a modulatory signal, wherein the modulatory signal is based at least in part on a change in the STDP inhibitory gating.

    Discovering and using informative looping signals in a pulsed neural network having temporal encoders
    4.
    发明专利
    Discovering and using informative looping signals in a pulsed neural network having temporal encoders 未知

    公开(公告)号：GB2550310A

    公开(公告)日：2017-11-15

    申请号：GB201713175

    申请日：2016-01-14

    Applicant: IBM

    Inventor： JAMES ROBERT KOZLOSKI

    IPC: G06N3/04 ,  G06N3/063

    Abstract: Embodiments are directed to a computer network having pathways. The network includes a plurality of units configured to communicate through the pathways. The network is configured to identify informative looping signals in loops formed from a plurality of network pathways that connect a first one of the plurality of units to a second one of the plurality of units. The network is further configured to apply spike-timing dependent plasticity (STDP) dependent inhibitory gating to the plurality of network pathways. The network is further configured to phase shift open gates and close gates in the loop by applying STDP functions to open gate outputs and closed gates outputs. The network is further configured to make a rate and a direction of the phase shift dependent on a modulatory signal, wherein the modulatory signal is based at least in part on a change in the STDP inhibitory gating.

    Dynamically adjusting quality of service using cognitive focus of attention detection
    5.
    发明专利
    Dynamically adjusting quality of service using cognitive focus of attention detection 未知

    公开(公告)号：GB2541056A

    公开(公告)日：2017-02-08

    申请号：GB201606806

    申请日：2016-04-19

    Applicant: IBM

    Inventor： CHRISTOPHER JAMES DAWSON ,  RICK HAMILTON II ,  GREGORY JENSEN BOSS ,  JAMES ROBERT KOZLOSKI

    IPC: H04L29/06 ,  H04N21/2662

    Abstract: The invention adjusts the quality level of applications (typically real time media such as video), in applications such as video conferencing and streaming. A model of the cognitive focus of user attention is fed information such as gaze/eye tracking, open and in focus application windows, presence in a room (see Fig. 3) and so forth in order to determine user attention 202. Actual quality of service (QoS) (e.g. data rate) is determined for programs 204. A perceived QoS (pQoS) is determined using the determined user attention 206 and thence the invention determines allowable adjustments to the actual QoS which will maintain the same perceived QoS 210 and applies them to the application. The invention allows efficient use of network bandwidth whilst maintaining a perceived quality of service for the user.

    Analyzer for behavioral analysis and parameterization of neural stimulation
    8.
    发明专利
    Analyzer for behavioral analysis and parameterization of neural stimulation 未知

    公开(公告)号：GB2537030A

    公开(公告)日：2016-10-05

    申请号：GB201603033

    申请日：2016-02-22

    Applicant: IBM

    Inventor： JAMES ROBERT KOZLOSKI ,  CLIFFORD PICKOVER ,  IRINA RISH ,  GUILLERMO ALBERTO CECCHI

    IPC: A61N1/36

    Abstract: A computer implemented neural stimulation system 400, particularly for treating movement disorders, has: a first module 408 to derive neural data from measurements of movements, muscle contractions or speech; a second module 406,412 to derive a neural state assessment of a patient from the neural data, e.g. to predict onset of an episode of tremors or OCD; a third module 414 for deriving at least one neural stimulation parameter based on the neural state assessment; and a fourth module 416 for delivering a therapy such as deep brain stimulation. Preferably detected speech is converted to text and analysed using a graphical text analyser (702, figure 7) to provide word graphs (712) which are input to a learning engine (714) and a predictive engine (716) which uses Markovian modelling to derive the neural state assessment. Preferably the first module also uses other inputs 410 such as EEG measurements, heart rate variability and real world behaviours which may be derived from a cloud computing environment 50.

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