Abstract: Techniques for using machine learning (ML) for image processing are disclosed. First encoded image data, generated by encoding a first one or more digital images using an encoder, is received. A first reconstructed one or more digital images are generated by decoding the encoded image data using a decoder corresponding to the encoder. A second reconstructed one or more digital images are generated by transforming the first reconstructed one or more digital images using a super-resolution ML model. The second reconstructed one or more digital images has a higher image resolution compared with the first reconstructed one or more digital images, and the super-resolution ML model is trained based on an image resolution corresponding to at least one of the second reconstructed one or more digital images.

Abstract: A novel method of diluting the structures in the cell population, such that individual cells, dependent on the activity of the structures, become single measurement devices. This can be applied to all Bacterial Microcomparments (“BMCs”), organelles, and macromolecules, and could provide a universal method for the design of novel ones and understanding of the diverse structures. In one aspect the present invention provides A method of creating a bacterial strain with inducible and detectable carboxysomes. The method includes the steps of incorporating a labeled carbon-fixation enzyme into the genome of a bacterium; deleting all or a portion of the ccm operon from the bacterium; and reintroducing a ccm operon comprising an inducible promoter to create a ?ccm+ strain.

Abstract: Improved systems, methods, and techniques for generating representational state transfer (REST) requests from a client computer to a server computer. The disclosed techniques employ a REST application programming interface (also referred to as the “RESTful API”) for use in receiving the REST requests at the server computer from the client computer, and providing REST responses from the server computer to the client computer. The disclosed techniques further employ an intelligent REST client configured as a webpage (also referred to as the “intelligent REST client webpage”) that can be accessed by a browser running on the client computer, and transmitted or otherwise served by the server computer for display on the browser of the client computer. The intelligent REST client webpage may be employed by a user of the client computer for efficiently interacting with the RESTful API of the server computer.

Abstract: Improved systems, methods, and techniques for generating representational state transfer (REST) requests from a client computer to a server computer. The disclosed techniques employ a REST application programming interface (also referred to as the “RESTful API”) for use in receiving the REST requests at the server computer from the client computer, and providing REST responses from the server computer to the client computer. The disclosed techniques further employ an intelligent REST client configured as a webpage (also referred to as the “intelligent REST client webpage”) that can be accessed by a browser running on the client computer, and transmitted or otherwise served by the server computer for display on the browser of the client computer. The intelligent REST client webpage may be employed by a user of the client computer for efficiently interacting with the RESTful API of the server computer.

Abstract: Examples are generally directed towards disabling features using a feature toggle associated with an application programming interface (API). A server receives an API request including one or more elements. An element is associated with a set of features. If a feature state of every feature within the set of features is an enabled feature state, the element state is an enabled element state and the request is validated. The validated request is executed and a response to the request is returned to the client. If at least one feature state of at least one feature within the set of features is a disabled feature state or a hidden feature state, the element state is a disabled element state and the request is invalided. The invalidated request is rejected and an error message is returned to the client.