Abstract: A method, computer system, and a computer program product for cognitive template question formation and execution is provided. The present invention may include receiving a dynamic template question. The present invention may also include mapping the received template question to a type. The present invention may then include mapping the received template question to a data source. The present invention may further include forming a template question based on the mapped template question. The present invention may also include triggering, in response to a triggering event, a query based on the formed template question. The present invention may then include executing the triggered query.

Abstract: A computer-implemented method comprises: generating, by a computing device, a computer-accessible corpus including evidence passage generation information; storing, by the computing device, the corpus; automatically generating, by the computing device, evidence passages that support a proposer's response to a customer's proposal request, wherein the evidence passages include a narrative identifying the proposer's capabilities to satisfy evaluation criteria in the proposal request, and wherein the narrative is based on customer-specific information, wherein the generating includes accessing and searching the corpus via an application programming interface (API); and outputting, by the computing device, the evidence passages as an electronic document that is editable via software running on a user device via a user interface.

Abstract: An apparatus includes a substrate, an array of channels disposed in the substrate, wherein first ends of the channels are exposed to an outside the apparatus, a material disposed in the channel that promotes growth of neural tissue, a plurality of electrodes disposed at second ends of the channels, wherein each channel is aligned with a respective one of the electrodes, and a chip electrically connected to the electrodes.

Abstract: A method, computer system, and a computer program product for cognitive template question formation and execution is provided. The present invention may include receiving a dynamic template question. The present invention may also include mapping the received template question to a type. The present invention may then include mapping the received template question to a data source. The present invention may further include forming a template question based on the mapped template question. The present invention may also include triggering, in response to a triggering event, a query based on the formed template question. The present invention may then include executing the triggered query.

Abstract: A computer-implemented method comprises: generating, by a computing device, a computer-accessible corpus including evidence passage generation information; storing, by the computing device, the corpus; automatically generating, by the computing device, evidence passages that support a proposer's response to a customer's proposal request, wherein the evidence passages include a narrative identifying the proposer's capabilities to satisfy evaluation criteria in the proposal request, and wherein the narrative is based on customer-specific information, wherein the generating includes accessing and searching the corpus via an application programming interface (API); and outputting, by the computing device, the evidence passages as an electronic document that is editable via software running on a user device via a user interface.

Abstract: A workload associated with a task is assessed with respect to each of a plurality of computing paradigms offered by a cloud computing environment. Adaptive learning is employed by maintaining a table of Q-values corresponding to the computing paradigms and the workload is distributed according to a ratio of Q-values. The Q-values may be adjusted responsive to a performance metric and/or a value, reward, and/or decay function. The workload is then assigned to available computing paradigms to be performed with improved utilization of resources.

Abstract: A workload associated with a task is assessed with respect to each of a plurality of computing paradigms offered by a cloud computing environment. Adaptive learning is employed by maintaining a table of Q-values corresponding to the computing paradigms and the workload is distributed according to a ratio of Q-values. The Q-values may be adjusted responsive to a performance metric and/or a value, reward, and/or decay function. The workload is then assigned to available computing paradigms to be performed with improved utilization of resources.

Abstract: Methods and arrangements for repositioning at least one node in a distributed network. Upon detection of a failed node in the network, subscription information relating to each direct child node of the failed node is retained at each direct child node.

Abstract: In accordance with the present invention, methods are included, which may be implemented by employing a program storage device readable by machine, tangibly embodying a program of instructions executable by the machine to perform method steps for anonymously integrating an object oriented software component with message oriented clients. A method is included for anonymously integrating object-oriented software components and message-oriented clients wherein a first object-oriented component performs the steps of performing invocations which are serviced by one of message-oriented clients and object-oriented components and servicing the invocations which are performed by one of the message-oriented clients and the object-oriented components such that the first object-oriented component is unaware that the invocations are performed and serviced by one of the message-oriented clients and the object-oriented components.

Abstract: Methods and arrangements for repositioning at least one node in a distributed network. Upon detection of a failed node in the network, subscription information relating to each direct child node of the failed node is retained at each direct child node.

Abstract: Disclosed is a self-aligned GaAs, lightly doped drain metal-semiconductor field effect transistor. In one embodiment, the device consists of a shallow n.sup.- active channel region formed on a GaAs substrate, a Schottky gate overlying the n.sup.- region and highly doped and deep n.sup.+ source and drain regions formed on either side of the gate. In the channel region between the gate edges and the source/drain are positioned n-type source/drain extensions which have an intermediate depth and doping concentration to minimize the device series resistance, suppress short channel effects and permit channel length reduction to submicron levels.In a second embodiment, p-type pockets are provided under the source/drain extensions to better control the device threshold voltage and further reduce the channel length.In terms of the method of fabrication of the first embodiment, starting with a GaAs substrate an n.sup.- semiconductor layer is formed in the device active region.

Abstract: Disclosed is a self-aligned GaAs, lightly doped drain metal-semiconductor field effect transistor. In one embodiment, the device consists of a shallow n.sup.- active channel region formed on a GaAs substrate, a Schottky gate overlying the n.sup.- region and highly doped and deep n.sup.+ source and drain regions formed on either side of the gate. In the channel region between the gate edges and the source/drain are positioned n-type source/drain extensions which have an intermediate depth and doping concentration to minimize the device series resistance, suppress short channel effects and permit channel length reduction to submicron levels.In a second embodiment, p-type pockets are provided under the source/drain extensions to better control the device threshold voltage and further reduce the channel length.In terms of the method of fabrication of the first embodiment, starting with a GaAs substrate an n.sup.- semiconductor layer is formed in the device active region.

Abstract: A field effect transistor of asymmetrical structure comprises: a semiconductor substrate of first conductivity type; source and drain regions of second conductivity type disposed in a surface of the substrate and spaced apart by a channel region; and a single, lightly doped extension of the drain region into the channel, the extension being of the second conductivity type and of a lower dopant concentration than the drain region. The transistor can further beneficially comprise a halo region of the first conductivity type in the substrate generally surrounding only the source region.