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    • 4. 发明申请
    • Method and system for alternative provisioning
    • 用于替代供应的方法和系统
    • US20070038520A1
    • 2007-02-15
    • US11199958
    • 2005-08-09
    • William GreySteven MastrianniPaul MoskowitzClifford Pickover
    • William GreySteven MastrianniPaul MoskowitzClifford Pickover
    • G06Q30/00
    • G06Q30/06G06Q30/0601
    • A programmed method for supplying content includes receiving via a network a request for a first content for use on a device, from a requester; automatically selecting a second content to fulfill the request; and providing the second content to a source of the request. From the point of view of a requester, the programmed method includes requesting via a network a first content for use on a device; and receiving an automatically selected second content to fulfill the request. The device may be a computer, and the content may be software for use on the computer. Selection may be performed in accordance with predetermined criteria, including predetermined rules. Information defining at least one criterion may be received from at least one requester. The criteria may be based on relatedness of the first content and the second content. Generally, the request is fulfilled via a network.
    • 一种用于提供内容的编程方法包括从请求者经由网络接收对在设备上使用的第一内容的请求; 自动选择第二个内容来满足请求; 以及向所述请求的源提供所述第二内容。 从请求者的观点来看,编程方法包括经由网络请求在设备上使用的第一内容; 以及接收自动选择的第二内容以满足该请求。 该设备可以是计算机,并且该内容可以是在计算机上使用的软件。 可以根据包括预定规则的预定标准进行选择。 可以从至少一个请求者接收定义至少一个准则的信息。 标准可以基于第一内容和第二内容的相关性。 一般来说,请求通过网络来实现。
    • 8. 发明申请
    • Human Memory Enhancement Using Machine Learning
    • 使用机器学习的人体记忆增强
    • US20140067730A1
    • 2014-03-06
    • US13599359
    • 2012-08-30
    • James R. KozloskiClifford PickoverIrina Rish
    • James R. KozloskiClifford PickoverIrina Rish
    • G06F15/18
    • G06N7/005A61B5/0476A61B5/4088G06F19/00G06F19/3481G06N99/005
    • A system and an article of manufacture for providing a prompt for real-time cognitive assistance include analyzing input from at least one environmental sensor to identify context information pertaining to a user situation, identifying a likely subsequent cognitive task of the user in the user situation based on the context information and use of a learned model, determining an action with respect to information to be suggested to the user via a corresponding prompt, wherein the determining is based on the likely subsequent cognitive task, the context information and information learned from at least to one previous user situation, computing a confidence value to represent a level of certainty in the action, and providing the prompt to the user if the action has a confidence value greater than a threshold value corresponding to the action.
    • 提供实时认知辅助提示的系统和制品包括分析来自至少一个环境传感器的输入以识别与用户情况相关的上下文信息,基于用户情况识别用户可能的后续认知任务 关于上下文信息和学习模型的使用,通过相应的提示确定关于要向用户建议的信息的动作,其中所述确定基于可能的后续认知任务,所述上下文信息和至少从 计算一个置信度值以表示该动作中的确定性水平,以及如果该动作具有大于对应于该动作的阈值的置信度值,则向该用户提供该提示。