Abstract: An apparatus for wireless communication includes a receiver configured to receive a request for data associated with an Internet-of-things (IoT) service session with an IoT cloud server. The apparatus further includes a transmitter configured to transmit, based on receiving the request and prior to transmitting a response to the request, a message indicating a timing parameter associated with availability of the data. The receiver is further configured to receive an uplink grant at a time that is based on the timing parameter, and the transmitter is further configured to transmit the response to the request based on the uplink grant. The response includes at least a subset of the data.

Abstract: Provided are an artifact removal method and apparatus based on machine learning (ML), and a method and apparatus for training an artifact removal model based on ML, in the field of artificial intelligence (AI). In the method, artifacts that may be generated in a process of compressing a video is preprocessed and removed by using an artifact removal model having a residual learning capability.

Abstract: A detachable handle assembly for an item of cookware includes a handle configured to removably engage a mounting member coupled to the item of cookware, and a locking assembly slidably received in a slot defined by the handle. The locking assembly includes a housing defining an aperture and a button, a biasing member configured to apply a biasing force on the housing, and a locking surface positions on a circumferential surface that defines the aperture, wherein the mounting member is configured to be received by the aperture and selectively engage the locking surface.

Abstract: Systems, methods, and computer-readable media are disclosed for optimizing terms of a long-term contract between a buyer and a seller for a product. Various types of forecasting models may be generated and used to determine the optimized terms such as an optimized price for the long-term contract. A risk model may be generated and evaluated to identify market disruptions that indicate that the optimized price should be re-negotiated to distribute the associated risk between the buyer and seller. An example of such a market disruption may be a market price fluctuation that causes a difference between a spot market price for the product and a contract price to meet or exceed a threshold value.