Abstract: A system or method for optimizing application and resource-level performance in a computing environment. The system accesses a deployment map that indicates the placement and interconnection of resources provisioned for an application, and analyzes application-level and resource-level performance metrics in conjunction with the deployment map to determine one or more recommended actions to improve performance. In response to identifying a need to modify the type of storage resource, the system identifies a first type of storage device with a first data access speed currently used by the application. Based on the analyzed metrics and deployment map, the system selects a second type of storage device with a different data access speed. The system provisions an amount of the second type of storage, migrates at least a portion of the data from the first type to the second type, and deprovisions the corresponding portion of the first type of storage.

Abstract: According to one aspect, a method includes obtaining a request to remotely operate a robotic assistant, the robotic assistant including at least one sensor configured to collect data associated with an environment around the robotic assistant. The method also includes identifying a first teleoperations system to remotely operate the robotic assistant in response to the request, the first teleoperations system being one of a plurality of teleoperations systems, and assigning the first teleoperations system to remotely operate the robotic assistant. At least one privacy-related instruction is implemented with respect to the first teleoperations system.

Abstract: According to one aspect, a method includes obtaining a request to remotely operate a robotic assistant, the robotic assistant including at least one sensor configured to collect data associated with an environment around the robotic assistant. The method also includes identifying a first teleoperations system to remotely operate the robotic assistant in response to the request, the first teleoperations system being one of a plurality of teleoperations systems, and assigning the first teleoperations system to remotely operate the robotic assistant. At least one privacy-related instruction is implemented with respect to the first teleoperations system.

Abstract: A system monitors application-level performance metrics associated with a high-performance computing (HPC) application and resource-level performance metrics associated with resources provisioned for the HPC application. The system accesses an HPC deployment map representing placement and interconnection of the resources provisioned for the HPC application, and analyzes the application-level performance metrics, resource-level performance metrics, and the HPC deployment map to determine one or more recommended actions to improve the application-level and resource-level performance metrics. The system then executes at least one of the one or more recommended actions.

Abstract: Provided herein is an autonomous or semi-autonomous vehicle fleet comprising a plurality of electric autonomous vehicles for apportioned display of a media, operating autonomously and a fleet management module for coordination of the autonomous vehicle fleet. Each autonomous or semi-autonomous vehicle comprising a screen configured to display the media. Activation, deactivation, brightness modification, in combination with specific media selection enables more efficient media display.

Abstract: The present disclosure provides, inter alia, antibody drug conjugates that are useful in treating various diseases such as cancer. The antibody drug conjugates can be configured to elicit tumor site-specific responses, including tumor microenvironment immunostimulation, while limiting off-target and systemic effects. In certain embodiments disclosed herein, the antibody drug conjugates are configured to release payloads following internalization by immune, cancer, or tumor associated cells.

Abstract: A delivery system includes a database configured to store information of a customer where the information includes a default payment method, a communication system configured to communicate with an autonomous vehicle and with a device of the customer, where the device includes a display screen having a button to summon an autonomous vehicle, at least one processor, and a memory storing instructions. The instructions, when executed by the at least one processor, cause the delivery system to receive an indication via the communication system that the button on the device of the customer has been clicked, and instruct the autonomous vehicle to travel to a location of the customer.

Abstract: The present disclosure provides, inter alia, antibody drug conjugates that are useful in treating various diseases such as cancer. The antibody drug conjugates can be configured to elicit tumor site-specific responses, including tumor microenvironment immunostimulation, while limiting off-target and systemic effects. In certain embodiments disclosed herein, the antibody drug conjugates are configured to release payloads following internalization by immune, cancer, or tumor associated cells.

Abstract: According to one aspect, a method includes obtaining a request to remotely operate a robotic assistant, the robotic assistant including at least one sensor configured to collect data associated with an environment around the robotic assistant. The method also includes identifying a first teleoperations system to remotely operate the robotic assistant in response to the request, the first teleoperations system being one of a plurality of teleoperations systems, and assigning the first teleoperations system to remotely operate the robotic assistant. At least one privacy-related instruction is implemented with respect to the first teleoperations system.

Abstract: An autonomous or semi-autonomous vehicle fleet comprising a plurality of autonomous or semi-autonomous vehicles for providing an assortment of items to a customer or a potential customer after such customer or potential customer summons the one or more autonomous or semi-autonomous vehicles in an unstructured open or closed environment. Each autonomous or semi-autonomous vehicle comprises one or more compartments configured to contain and secure the assortment of the items to be selected once the summoned autonomous or semi-autonomous vehicle arrives to a customer or potential customer.

Abstract: According to one aspect, a platform for providing at least one item to a customer is disclosed. The platform includes an autonomous, semi-autonomous, or fully autonomous vehicle that includes at least one compartment configured to contain a first item ordered by the customer and to contain a second item not ordered by the customer. The platform further includes an application including an ordering module configured to obtain an order from the customer that includes the first item, and a release detection module configured to determine when the first item has been removed from the at least one compartment and configured to determine when the second item has been removed from the at least one compartment. In one embodiment, the second item is predicted using a machine learning algorithm.

Abstract: An autonomous robot vehicle in accordance with aspects of the present disclosure includes a conveyance system and a compartment coupled to the conveyance system. The conveyance system autonomously drives the autonomous robotic vehicle between one or more storage locations and one or more delivery locations. The compartment receives one or more items stored at the one more storage locations. The compartment includes a temperature control module configured to maintain the compartment within a predetermined temperature range to provide temperature control for the one or more items as the conveyance system drives between the one or more storage locations and the one or more delivery locations.

Abstract: An system and a method for the detection and visualization of reported ethics cases is disclosed. The system receives a set of digital records corresponding to a reported ethics violations. The system converts each of the digital records from the set of digital records into a common digital format. The system deconstructs the uniform text structure of each digital recorded by a natural language processing module to lemmatize words, remove punctuation, and remove stop words. The system inputs each deconstructed uniform text structure into a binary machine learning data model. The system inputs each deconstructed uniform text structure into a multiclass machine learning data model. The system inputs the determined value and the label to an ensemble machine learning data model. The system prioritizes reported ethics violations into one or more lists based on the determination of the possible class and transmits the list to a user interface.

Abstract: A managing apparatus for positioning rental vehicles includes a memory storing instructions and a processor configured to execute the instructions to cause the managing apparatus to access model information and location information for a plurality of autonomous vehicles, receive a request including a delivery location and a chosen model for renting, select an autonomous vehicle of the chosen model from among the plurality of autonomous vehicles based on the model information, the location information, and the delivery location, instruct the selected autonomous vehicle to fully-autonomously or semi-autonomously travel to the delivery location, and instruct the selected autonomous vehicle to switch to manual operation mode at the delivery location for manual operation by a vehicle rental customer.

Abstract: An autonomous robotic vehicle includes a conveyance system, a securable compartment configured to autonomously lock and unlock, a customer identification reader, at least one processor, and a memory storing instructions which, when executed by the at least one processor, causes the autonomous robotic vehicle to, autonomously: travel to a destination location of a customer; capture, by the customer identification reader at the destination location, a customer identification object; determine that the captured customer identification object matches an identity of the customer; unlock the securable compartment based on the determination; capture, by the product identification reader, a product identifier; and accept a product to be returned by locking the securable compartment. The securable compartment contains a product identification reader.

Abstract: An autonomous robot vehicle includes a front side and an energy absorbing system. The front side includes a front bumper and a front face including a frame defining a cavity. The energy absorbing system includes an energy absorbing member mounted in the cavity of the frame, and an inflatable airbag. The energy absorbing member is configured to reduce impact on an object struck by the autonomous robot vehicle. The inflatable airbag is mounted on the front side of the autonomous robot vehicle such that when the inflatable airbag is deployed, the inflatable airbag is external to the autonomous robot vehicle.

Abstract: In accordance with aspects of the present disclosure, an autonomous robot vehicle is disclosed. In various embodiments, the autonomous robot vehicle includes a conveyance system, a securable compartment configured to autonomously lock and unlock where the securable compartment contains an item for delivery to a particular individual, a personal identification reader, at least one processor, and a memory storing instructions. The instructions, when executed by the processor(s), cause the autonomous robot vehicle to, autonomously, travel to a destination location of the particular individual, capture by the personal identification reader at the destination location a personal identification object, determine that the captured personal identification object matches an identity of the particular individual, and unlock the securable compartment based on the determination.

Abstract: Systems and methods are disclosed for providing transportation or delivery services using a fleet of mixed vehicles. A computer-implemented method of providing services using a fleet of mixed vehicles includes receiving at a server a request for a service, determining parameters for the service, selecting by the server a vehicle from a fleet of mixed vehicles to perform at least a portion of the service based on the determined parameters, and transmitting a message to the selected vehicle to perform the at least a portion of the service. The fleet of mixed vehicles includes at least two of: a semi-autonomous vehicle, a fully-autonomous vehicle, a vehicle remotely operated by a human, or a human driven vehicle.

Abstract: Provided herein are platforms for determining a non-navigational quality of at least one infrastructure by a plurality of autonomous or semi-autonomous land vehicles through infrastructure recognition and assessment.