Abstract: A smart and scalable dementia assistant device is provided that converses with a patient in voices familiar with the patient. It utilizes content learned from the patient and content provided by family, friends, caregivers, and doctors, and autonomously adjusts conversations based on the changing state of the patient's dementia state. The device autonomously controls IoT devices (e.g. doors, elevators, tvs, medical dispensers) to help and assist the dementia patient using oral and IoT sensors.

Abstract: A system and related methods for making distributed, autonomous decisions on the management of network traffic and data are provided. The disclosed system and methods increasingly become smarter and faster over time based on the accumulated data across the network, and any data science or decision science associated with the system can be updated or modified via remote, autonomous updates. The system can comprise computing devices and systems across multiple layers of the network, wherein each layer of the network can comprise a plurality of nodes. Each node of the network can be enhanced or embedded with the Smart Distributed system, and the Smart Distributed system can provide each node of the network the ability to apply data or decision science to any data in real or near real-time.

Abstract: A wiring substrate includes a first insulation layer containing insulating resin, a first through hole passing through the first insulation layer is the thickness direction, a pad formed within the first through hole, a second insulation layer containing insulating resin and laminated on a first surface of the first insulation layer, and a first wiring layer provided on the second insulation layer and connecting to the pad. A connecting surface of the pad that connects the first wiring layer includes a curved surface that curves in a protruding shape toward the first surface of the first insulation layer.

Abstract: Typical graphical user interfaces and predefined data fields limit the interaction between a person and a computing system. An oral communication device and a data enablement platform are provided for ingesting oral conversational data from people, and using machine learning to provide intelligence. At the front end, an oral conversational bot, or chatbot, interacts with a user. On the backend, the data enablement platform has a computing architecture that ingests data from various external data sources as well as data from internal applications and databases. These data and algorithms are applied to surface new data, identify trends, provide recommendations, infer new understanding, predict actions and events, and automatically act on this computed information. The chatbot then provides audio data that reflects the information computed by the data enablement platform. The system and the devices, for example, are adaptable to various industries.

Abstract: Systems, devices and methods are provided that can make distributed and autonomous decision science based recommendations, decisions, and actions that increasingly become smarter and faster over time. The system includes intelligent computing devices, networks, electronic devices and other intelligent components or devices, including intelligent transceivers, receivers, and buses. Each of these intelligent devices can optionally have the ability to transmit and receive new data or decision science, software, data, and metadata to other intelligent devices and third party components and devices so that data or decision science, whether real-time, batch, or manual processing, can be updated and data or decision science driven queries, recommendations and autonomous actions can be broadcasted to other intelligent devices and third party systems in real-time.

Abstract: Biological human-computer interfaces are used to control devices, such a robotic limbs, using brain signals, nerve signals and muscle signals. These interfaces are sometimes called brain-computing interfaces. The learning process for a user to control devices using these interfaces is cumbersome. A computing platform is provided that includes a library of human model templates that are used to take biological inputs signals to generate outputs that control the device. Different templates are more appropriate for users of different attributes, such as demographic attributes. The computing platform collects data from multiple other users with these interfaces and devices in order to calibrate the human model templates. The calibrated human model templates are then published to the individual users, so that they can more accurately control their devices using their biological input signals.

Abstract: The amount and variety of data being generated is becoming too extreme for many computing systems to process, and is even more difficult for information systems to provide relevant data to users. A distributed computing system is provided that includes server machines that form a data enablement platform. The platform includes: a plurality of data collectors that stream data over a message bus to a streaming analytics and machine learning engine; a data lake and a massive indexing repository for respectively storing and indexing data; a behavioral analytics and machine learning module; and multiple application programming interfaces (APIs) to interact with the data lake and the massive indexing repository, and to interact with multiple applications. The multiple applications are command cards, and each command card includes a directive module, a memory module, search bots, and behavior bots that operate at least within the data enablement platform.

Abstract: A smart and scalable dementia assistant device is provided that converses with a patient in voices familiar with the patient. It utilizes content learned from the patient and content provided by family, friends, caregivers, and doctors, and autonomously adjusts conversations based on the changing state of the patient's dementia state. The device autonomously controls IoT devices (e.g. doors, elevators, tvs, medical dispensers) to help and assist the dementia patient using oral and IoT sensors.

Abstract: Typical graphical user interfaces and predefined data fields limit the interaction between a person and a computing system. An oral communication device and a data enablement platform are provided for ingesting oral conversational data from people, and using machine learning to provide intelligence. At the front end, an oral conversational bot, or chatbot, interacts with a user. On the backend, the data enablement platform has a computing architecture that ingests data from various external data sources as well as data from internal applications and databases. These data and algorithms are applied to surface new data, identify trends, provide recommendations, infer new understanding, predict actions and events, and automatically act on this computed information. The chatbot then provides audio data that reflects the information computed by the data enablement platform. The system and the devices, for example, are adaptable to various industries.

Abstract: A conversational limbic computing system is provided that converses with a patient and provides familiar media content based on the patient's emotions and psychological state. The media content includes audio data of familiar people talking with the patient. It utilizes content learned from the patient and content provided by family, friends, caregivers, and doctors, and autonomously adjusts conversations based on the changing state of the patient's psychological or emotional state.

Abstract: An injection molding machine is provided with a nozzle touch mechanism configured to press a nozzle attached to an injection device against a mold, a drive unit configured to move the injection device, a drive compression member connected to the drive unit, an injection compression member connected to the injection device, at least one resilient member interposed preloaded between the drive compression member and the injection compression member, and at least one strain sensor mounted on the drive compression member.

Abstract: A wiring substrate includes a first insulation layer containing insulating resin, a first through hole passing through the first insulation layer is the thickness direction, a pad formed within the first through hole, a second insulation layer containing insulating resin and laminated on a first surface of the first insulation layer, and a first wiring layer provided on the second insulation layer and connecting to the pad. A connecting surface of the pad that connects the first wiring layer includes a curved surface that curves in a protruding shape toward the first surface of the first insulation layer.

Abstract: The display of digital media content includes graphical user interfaces and predefined data fields that limit interaction between a person and a computing system. An oral communication device and a data enablement platform are provided for ingesting oral conversational data from people, and using machine learning to provide intelligence. At the front end, an oral conversational bot, or chatbot, interacts with a user. The chatbot is specific to a customized digital magazine, which both evolve over time to a user for a given topic. On the backend, the data enablement platform has a computing architecture that ingests data from various external data sources as well as data from internal applications and databases. These data and algorithms are applied to surface new data, identify trends, provide recommendations, infer new understanding, predict actions and events, and automatically act on this computed information. The chatbot then reads out the content to the user.

Abstract: The amount and variety of data being generated is becoming too extreme for many computing systems to process, and is even more difficult for information systems to provide relevant data to users. A distributed computing system is provided that includes server machines that form a data enablement platform. The platform includes: a plurality of data collectors that stream data over a message bus to a streaming analytics and machine learning engine; a data lake and a massive indexing repository for respectively storing and indexing data; a behavioral analytics and machine learning module; and multiple application programming interfaces (APIs) to interact with the data lake and the massive indexing repository, and to interact with multiple applications. The multiple applications are command cards, and each command card includes a directive module, a memory module, search bots, and behavior bots that operate at least within the data enablement platform.

Abstract: The amount and variety of data being generated is becoming too extreme for many computing systems to process, and is even more difficult for information systems to provide relevant data to users. A distributed computing system is provided that includes server machines that form a data enablement platform. The platform includes: a plurality of data collectors that stream data over a message bus to a streaming analytics and machine learning engine; a data lake and a massive indexing repository for respectively storing and indexing data; a behavioral analytics and machine learning module; and multiple application programming interfaces (APIs) to interact with the data lake and the massive indexing repository, and to interact with multiple applications. The multiple applications are command cards, and each command card includes a directive module, a memory module, search bots, and behavior bots that operate at least within the data enablement platform.

Abstract: Typical graphical user interfaces and predefined data fields limit the interaction between a person and a computing system. An oral communication device and a data enablement platform are provided for ingesting oral conversational data from people, and using machine learning to provide intelligence. At the front end, an oral conversational bot, or chatbot, interacts with a user. On the backend, the data enablement platform has a computing architecture that ingests data from various external data sources as well as data from internal applications and databases. These data and algorithms are applied to surface new data, identify trends, provide recommendations, infer new understanding, predict actions and events, and automatically act on this computed information. The chatbot then provides audio data that reflects the information computed by the data enablement platform. The system and the devices, for example, are adaptable to various industries.

Abstract: An injection molding machine according to the present invention is a machine tool that includes a measurement unit that measures a predetermined measured value; a calculation unit that calculates attitude accuracy information about the injection molding machine based on the measured value measured by the measurement unit; and a display that displays the attitude accuracy information calculated by the calculation unit together with an overhead view of the injection molding machine.

Abstract: A control device for a steer-by-wire type vehicle calculates a target turn angle being represented as a function of a steering angle of a steering wheel, and controls a turning device such that a turn angle of a wheel becomes the target turn angle. A variation range of the steering angle includes: an effective steering range in which the steering angle is an effective maximum steering angle or smaller; and an adjustment steering range in which the steering angle is between the effective maximum steering angle and a predetermined maximum steering angle. The target turn angle calculated according to the effective maximum steering angle is an effective maximum turn angle. The control device variably sets the function according to a road surface condition such that the effective maximum turn angle in a case of a low-? condition is smaller than that in a case of a high-? condition.

Abstract: The present invention addresses a problem of providing a high quality seamless capsule, with excellent uniformity of shell thickness and virtually no eyes in the shell. The problem can be solved by manufacturing a seamless capsule using a shell composition comprising at least one polysaccharide selected from the group consisting of agar, carrageenan and gellan gum, and a PVA copolymer comprising the following structural units: (i) polyvinyl alcohol, (ii) at least one unsaturated carboxylic acid selected from the group consisting of acrylic acid, methacrylic acid, fumaric acid and maleic acid, and (iii) at least one unsaturated carboxylic acid ester selected from the group consisting of compounds represented by formula [I]: H2C?C(R?)—COOR2??[I] (wherein R1 represents a hydrogen atom or a methyl group, and R2 represents an alkyl group having 1 to 4 carbon atoms).

Abstract: An injection molding machine includes: a moving platen connected to a rear platen via a toggle link and configured to be moved closer to and away from a stationary platen; a guide rod support provided between the rear platen and the moving platen, and configured to support a guide rod for guiding a cross head of the toggle link; a safety rod fixed to the moving platen and extending toward the guide rod support; and a safety latch provided on the guide rod support and configured to restrict movement of the moving platen by engagement with the safety rod.