Abstract: Composing messages and receiving messages using text is time consuming and can lose meaning for recipients. Systems and methods are provided to generate a digital gift. A digital gift wrapper is used to precede the digital gift. A gift recipient interacts with the digital gift wrapper and the digital gift using a voice interface. The digital gift includes, for example, both audio and visual data. A physical gift is also generated and sent in a coordinated manner with the digital gift.

Abstract: Assistive technologies are herein provided to assist leaders in engaging one or more group participants using a combination of private data specific to a participant and public data specific to a participant. The system includes: a group bot that has public group data and private group data, a first bot for a first participant that has private data and public data associated with the first participant, and a leader bot for a leader. The leader bot is data interactive with the group bot and the first bot, and can cause the first bot to appropriately serve private data on a permissioned private device of the first participant and to serve public data on a permissioned group output device.

Abstract: Assistive technologies are herein provided to assist leaders in engaging one or more group participants using a combination of private data specific to a participant and public data specific to a participant. The system includes: a group bot that has public group data and private group data, a first bot for a first participant that has private data and public data associated with the first participant, and a leader bot for a leader. The leader bot is data interactive with the group bot and the first bot, and can cause the first bot to appropriately serve private data on a permissioned private device of the first participant and to serve public data on a permissioned group output device.

Abstract: Devices, systems and computing processes are provided that can ingest human creativity using human inputs (e.g. oral data, text, pictures, musical riffs, white board drawings, gestures, dances, haptic inputs, brain waves, biological inputs, etc.), process and organize these creative inputs using data science, perform real time, autonomous searching, apply data science to search results for supporting and contrasting results related to each topic, subtopic, etc., and provide results and recommendations to the human in real time. As a result, the human is not encumbered with the labor and time intensive research that might already be answered, solved, experimented, written, painted, etc. These efficient tools eliminate research time so that the person focuses on unique theories, thought works, and new artistic works (e.g. what humans do very well). Furthermore, contextually relevant “shadow results” are presented or outputted to the user, which spurs more creative ideas and thoughts.

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 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: 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: 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 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: A system 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 can comprise intelligent computing devices and components (i.e., Intelligent Endpoint Systems) at the edge or endpoints of the network (e.g., user devices or IoT devices). Each of these Intelligent Endpoint Systems 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 or near 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 Endpoint Systems and third party systems in real-time or near real-time.