Abstract: A system for recommending and optimizing artificial intelligence (AI) workload placement in a multi-vendor cloud environment is disclosed. The system utilizes a server with at least one processor to access input datasets stored in a datacentre associated with an AI workload and determine suitable processing units from various manufacturers based on predefined criteria. It calculates the required number of processing units and accesses a multi-vendor performance database. A deep learning model predicts infrastructure requirements for the AI workload, enabling the generation of recommendations for optimal processing unit configuration. The system automatically allocates processing unit resources from multiple manufacturers based on these recommendations. Finally, it generates data for a user interface dashboard, presenting information about manufacturers, processing unit types, recommended configurations, and real-time performance metrics of allocated resources.

Abstract: A computer-implemented method includes receiving, by one or more processors, Process Instruction (PI) information containing instructions for adjudicating a healthcare service request based on a primary fact source; dividing, by the one or more processors and using an Artificial Intelligence (AI) model, the instructions into one or more instruction sets; generating, by the one or more processors and the AI model, an input-output mapping for first ones of the one or more instruction sets having a complexity that does not satisfy a complexity threshold; generating, by the one or more processors and the AI model, code for second ones of the one or more instructions sets having the complexity that satisfies the complexity threshold; generating, by the one or more processors and the AI model, a validation input set for the input-output mapping and for the code; and applying, by the one or more processors and the AI model, the validation input set to the input-output mapping and the code to generate a validation ou

Abstract: The present invention concerns methods for identifying, producing, and engineering binding molecule conjugates, and to the conjugates produced. In particular, the invention concerns Surrobody conjugates composed of an antibody heavy chain variable domain and a surrogate light chain, wherein the surrogate light chain and/or the antibody heavy chain variable domain is conjugated to a therapeutic or diagnostic agent.

Abstract: Various methods and processes, apparatuses or systems, and media for managing a state of a provisioned workspace with connectivity to a data resource in a regulated computing environment by utilizing one or more processors along with allocated memory are disclosed. The processor receives a request to provision a workspace in the regulated computing environment; determines an account capacity usage across a plurality of cloud computing environments; provisions the workspace in the regulated computing environment on a condition that a forecasted account capacity usage does not exceed a threshold capacity usage; establishes a connection with a computing resource external to the server system; and saves a state of the workspace using the computing resource external to the server system.

Abstract: An improved method for CO2 separations using a physical solvent is provided. The method includes: (a) contacting the lumen side or the shell side of a plurality of porous hollow fibers with a CO2-containing gas from a point source; (b) contacting the other of the lumen side or the shell side of the plurality of porous hollow fibers with a liquid phase, the liquid phase including a physical solvent for physisorption of CO2 into the liquid phase; (c) desorbing the CO2 from the liquid phase by reducing the pressure of the liquid phase; and (d) recirculating the liquid phase to the plurality of porous hollow fibers. As discussed herein, the improved method provides a modular, scalable process to facilitate gas-liquid contact for CO2 separations. In addition, the improved method offers significant advantages over existing ionic liquid and amine-based technologies in terms of cost-effectiveness, energy efficiency, process scalability, and environmental stability.

Abstract: A method of separating lithium (Li) from aluminum (Al) includes: obtaining an aqueous feed solution containing an acid, Li, and Al; providing a membrane module including a plurality of hollow fibers that are hydrophobic and include a porous sidewall defining a lumen side spaced apart from a shell side; wetting the porous sidewall of the plurality of hollow fibers with an organic phase including a cationic extractant and an organic solvent such that the organic phase is immobilized in the porous sidewall; performing membrane solvent extraction by passing the feed solution along one of the lumen side or the shell side of the plurality of hollow fibers and simultaneously passing a strip solution along the other of the lumen side or the shell side of the plurality of hollow fibers. The cationic extractant in the porous sidewall continuously extracts Al from the feed solution while substantially rejecting Li for recovery.

Abstract: Systems and methods for protecting unauthenticated computer applications are disclosed. A method may include: enrolling, by a computer program executed by a client backend and with a host backend, the client backend to access a service provided by the host backend; creating, by the host backend computer program, a database entry in a database that stores a client backend identifier for the client backend, an identifier for the service, and a time period for the access; receiving, by the client application executed on a user mobile device, user information; calling, by the client application, the host backend computer program with an application identifier for the client application; generating, by the host backend computer program, a security token; and sending, by the host backend computer program, the security token to the client backend, wherein the client backend may be configured to send the security token to the client application.

Abstract: A firmware is configured with a firmware management protocol (“FMP”) capable of updating a firmware logo image and a firmware logo image volume is defined within a firmware for storing a firmware logo image. A firmware logo image updater executing on a computing device receives a UEFI capsule that contains a firmware logo image. The firmware logo image updater stores the UEFI capsule in a UEFI system partition on a computer-readable storage medium accessible to the computing device. Upon a reboot of the computing device, the FMP is executed. The FMP retrieves the UEFI capsule from the UEFI system partition. The FMP then updates the firmware logo image volume with the firmware logo image stored in the UEFI capsule.

Abstract: A method of concentrating a lithium-containing aqueous solution, the method comprising: (i) providing a water-permeable structure having an inner surface and outer surface, wherein at least said outer surface is coated with a water-permeable hydrophilic polymer having a thermal stability of at least 100° C.; and (ii) flowing a lithium-containing aqueous feed solution having an initial concentration of lithium over said inner surface while said outer surface is in contact with an aqueous draw solution containing a higher overall ion concentration than said lithium-containing aqueous feed solution, to result in forward osmosis of water from said lithium-containing aqueous feed solution to said aqueous draw solution, and wherein said forward osmosis results in a lithium-containing aqueous product solution having an increased concentration of lithium relative to the initial concentration of lithium in the lithium-containing aqueous feed solution.