Abstract: According to one embodiment, a method, computer system, and computer program product for rescuing a malfunctioning drone is provided. The present invention may include responsive to detecting a total failure in a malfunctioning drone comprising a drone fleet, operating one or more rescue drones to physically or virtually attach to the malfunctioning drone; reconfiguring sub-missions comprising a mission assigned to the drone fleet based on an absence of the malfunctioning drone and the one or more rescue drones; and transporting, by the one or more rescue drones, the malfunctioning drone to a safe landing location.

Abstract: An example system includes a processor to train an artificial intelligence (AI) model on a training set of images on a client device associated with a particular user. Images in the training set of images are selected using face recognition from a digital camera roll on the client device based on a set of faces chosen by the particular user of the client device. All of images in the training set of images include a detected face from the set of chosen faces. The processor is to filter a group message received from a second device based on the trained AI model.

Abstract: Some embodiments relate to genetically engineered bacterial strains for modulation of levels of the bacterial metabolite 4-ethylphenol (4EP) and its sulfated form, 4-ethylphenyl sulfate (4EPS). In some embodiments, the bacteria reduce or inhibit production of 4EP or 4EPS in the gut of a subject. The bacteria can ameliorate, delay the onset, or reduce the likelihood of one or more symptoms associated with anxiety and/or autism spectrum disorder (ASD) in the subject.

Abstract: An example system includes a processor to receive target asset information from an asset management system. The processor can generate an inspection mission based on the target asset information. The processor can generate unmanned aerial vehicle (UAV)-specific commands based on the inspection mission. The processor can transmit the UAV-specific commands to an unmanned aerial vehicle (UAV) platform. The processor can receive images and sensor data from the UAV. The processor can also send the images and sensor data to an artificial intelligence (AI) services module. The processor can receive feedback from the AI services module. The processor can further modify the inspection mission based on the feedback.

Abstract: Some embodiments herein relate generally to compositions comprising microbial organisms and/or metabolites for improving the behavior of a subject, such as a subject having autism spectrum disorder (ASD), and methods of using the same. Some embodiments herein relate generally to profiles of gut bacteria and/or metabolites useful for determining a risk, presence, and/or severity of ASD.

Abstract: An example system includes a processor to train an artificial intelligence (AI) model on a training set of images on a client device associated with a particular user. Images in the training set of images are selected using face recognition from a digital camera roll on the client device based on a set of faces chosen by the particular user of the client device. All of images in the training set of images include a detected face from the set of chosen faces. The processor is to filter a group message received from a second device based on the trained AI model.

Abstract: An example system includes a processor to receive an artificial intelligence (AI) model trained on a client device associated with a particular user. The processor is to filter a group message based on the AI model. The processor is to send the filtered group message to the client device.

Abstract: Some embodiments relate to genetically engineered bacterial strains for modulation of levels of the bacterial metabolite 4-ethylphenol (4EP) and its sulfated form, 4-ethylphenyl sulfate (4EPS). In some embodiments, the bacteria reduce or inhibit production of 4EP or 4EPS in the gut of a subject. The bacteria can ameliorate, delay the onset, or reduce the likelihood of one or more symptoms associated with anxiety and/or autism spectrum disorder (ASD) in the subject.

Abstract: Some embodiments relate to genetically engineered bacterial strains for modulation of levels of the bacterial metabolite 4-ethylphenol (4EP) and its sulfated form, 4-ethylphenyl sulfate (4EPS). In some embodiments, the bacteria reduce or inhibit production of 4EP or 4EPS in the gut of a subject. The bacteria can ameliorate, delay the onset or reduce the likelihood of one or more symptoms associated with anxiety and/or autism spectrum disorder (ASD) in the subject.

Abstract: Aspects of the invention described herein relate to bacteria and metabolites, which may be used in diagnostics, therapeutics and/or dietary supplements so as to identify the risk to an individual of developing ASD or ASD-like disorders, as well as, to inhibit, treat, and/or prevent the onset of ASD and/or and ASD-like disorders.

Abstract: We describe a method for training, inferencing, and a system, for controlling a swarm of unmanned aerial vehicles (UAV). The method comprises introducing a plurality of real time, past and/or simulated records documenting a plurality of sensor readings generated based on measurements taken at a region associated with an emergency event to a system. The system comprises at least one processor adapted to execute code and at least one memory storing a machine learning based model. The system produces code instructions for controlling a plurality of UAVs for presenting at the region a plurality of visual navigation instructions.

Abstract: An example system includes a processor to receive media and an event from a deployed unmanned aerial vehicle (UAV). The processor is to send the media and the event to an artificial intelligence (AI) service and receive smart insights from the AI service. The processor is to dynamically generate an execution block based on the smart insights. The processor is to send the generated execution block to an edge device for generating vehicle specific commands.

Abstract: An example system includes a processor to receive an artificial intelligence (AI) model trained on a client device associated with a particular user. The processor is to filter a group message based on the AI model. The processor is to send the filtered group message to the client device.

Abstract: Various techniques for performing contextual event scheduling with an event scheduling service are disclosed herein. In an example, data is processed at an event scheduling service, based on the use of a trained machine learning model that is specific to a user. This trained machine learning model is operated by the event scheduling service determine a proposed time and proposed scheduling parameters based on the contextual information, to identify a proposed event time and event scheduling parameters based on the model, the data indicating a user state, or external data. Further examples to evaluate user activity and identify schedule characteristics based on data inputs from a user's mobile computing device, wearable sensors, and external weather, traffic, or event data sources, are also disclosed.

Abstract: Some embodiments relate to genetically engineered bacterial strains for modulation of levels of the bacterial metabolite 4-ethylphenol (4EP) and its sulfated form, 4-ethylphenyl sulfate (4EPS). In some embodiments, the bacteria reduce or inhibit production of 4EP or 4EPS in the gut of a subject. The bacteria can ameliorate, delay the onset or reduce the likelihood of one or more symptoms associated with anxiety and/or autism spectrum disorder (ASD) in the subject.

Abstract: Various techniques for performing contextual event scheduling with an event scheduling service are disclosed herein. In an example, data is processed at an event scheduling service, based on the use of a trained machine learning model that is specific to a user. This trained machine learning model is operated by the event scheduling service determine a proposed time and proposed scheduling parameters based on the contextual information, to identify a proposed event time and event scheduling parameters based on the model, the data indicating a user state, or external data. Further examples to evaluate user activity and identify schedule characteristics based on data inputs from a user's mobile computing device, wearable sensors, and external weather, traffic, or event data sources, are also disclosed.

Abstract: Systems, apparatuses and methods may provide for identifying a plurality of user intents and identifying user state data. Additionally, a time sorted list of intents may be generated based on the plurality of user intents and the user state data, wherein the time sorted list of intents defines a user route with respect to a particular day. In one example, the sorted list of intents is dynamically updated in response to a change in the user state data, a change in the plurality of user intents and/or a conflict between two or more of the plurality of user intents.

Abstract: Systems, apparatuses and technology-based methods may provide for generating a graphic representation of a time sorted list of intents and presenting the graphic representation in a perimeter region of a watch face. In addition, a timeline associated with the graphic representation may align with an hour hand of the watch face. In one example, the graphic representation distinguishes between types of intents, shows a start time and end time of one or more intents and shows a status of one or more intents.

Abstract: The provides methods for generating divergent libraries of recombinant chimeric proteins, comprising identifying a plurality of conserved amino acid sequences, selecting a plurality of consensus amino acid sequences as a backbone corresponding to said conserved amino acid sequences to serve as sites of recombination and as a backbone for recombinant chimeric proteins created, generating overlapping polynucleotides, inducing recombination between said polynucleotides to produce divergent libraries of chimeric polynucleotides wherein the recombinations intentionally take place between the sequences that correspond to the full length consensus amino acids. The advantage is that shuffling between variable regions, while maintaining the consensus backbone, increases the production of active proteins with high diversity, and better properties.

Abstract: The present invention relates to libraries comprising recombinant chimeric proteins, each protein comprising a plurality of distinct consensus amino acid sequences corresponding to amino acid regions that are conserved in a plurality of functionally and/or structurally related proteins. The present invention further relates to methods for preparing the recombinant chimeric proteins and uses thereof, that are less expensive, less labor-intensive and more efficient than procedures used in current available methods. The advantage of the present invention is that shuffling between variable regions that are not necessarily predetermined, while maintaining the consensus backbone, increases the production of active enzymes while producing enzyme variants with high diversity, and better properties.