Abstract: The present technology relates to a transmitting terminal, a transmitting method, an information processing terminal, and an information processing method that make it possible to efficiently perform transmission of multiple pieces of data. A transmitting terminal according to an aspect of the present technology generates and transmits a packet having a format that allows multiple pieces of transmission data to be stored together with identification information of a network model in a payload. The multiple pieces of transmission data are used in at least one of learning processing of the network model by machine learning or inference processing based on the network model. The present technology is able to be applied to a transmission system that transmits data used in learning processing of a network model by machine learning and inference processing based on the network model.

Abstract: An information processing apparatus includes: a recognition unit that performs recognition processing by using a neural network; and a controller that switches a weight coefficient set of the neural network with a learned weight coefficient set selected from a plurality of learned weight coefficient sets. The controller is further capable of merging the plurality of learned weight coefficient sets into a learned weight coefficient set and setting the learned weight coefficient set in the neural network.

Abstract: The present technology relates to a transmitting terminal, a transmitting method, an information processing terminal, and an information processing method that make it possible to efficiently perform transmission of multiple pieces of data. A transmitting terminal according to an aspect of the present technology generates and transmits a packet having a format that allows multiple pieces of transmission data to be stored together with identification information of a network model in a payload. The multiple pieces of transmission data are used in at least one of learning processing of the network model by machine learning or inference processing based on the network model. The present technology is able to be applied to a transmission system that transmits data used in learning processing of a network model by machine learning and inference processing based on the network model.

Abstract: In an information communication system, information communication devices exchange an IP packet over IP networks. When performing a predetermined packet exchanging procedure in which the number of router hops is limited to a predetermined control value or less, each of the information communication devices monitors Time-To-Live values designated in the headers of IP packets received over a period of time from the start of the predetermined packet exchanging procedure to immediately before the end of the predetermined packet exchanging procedure to continuously update the maximum Time-To-Live value of the monitored Time-To-Live values, and checks whether the maximum Time-To-Live value does not exceed the control value.

Abstract: An information processing apparatus for processing encrypted data input as a byte stream with dynamically changing decryption keys includes the following elements. An encrypted data receiving section receives encrypted data input as a byte stream, identifies a range of data that is decrypted using an identical key as a unit of decryption, extracts information necessary for decryption from the byte stream, and outputs encrypted data sets in which the extracted information is added to segments of the encrypted data. An encrypted data decrypting section sequentially decrypts the encrypted data by queuing the encrypted data sets while distributing the encrypted data sets to generate plaintext data. A plaintext processing section processes the generated plaintext data.

Abstract: An information processing apparatus for processing encrypted data input as a byte stream with dynamically changing decryption keys includes the following elements. An encrypted data receiving section receives encrypted data input as a byte stream, identifies a range of data that is decrypted using an identical key as a unit of decryption, extracts information necessary for decryption from the byte stream, and outputs encrypted data sets in which the extracted information is added to segments of the encrypted data. An encrypted data decrypting section sequentially decrypts the encrypted data by queuing the encrypted data sets while distributing the encrypted data sets to generate plaintext data. A plaintext processing section processes the generated plaintext data.

Abstract: In an information communication system, information communication devices exchange an IP packet over IP networks. When performing a predetermined packet exchanging procedure in which the number of router hops is limited to a predetermined control value or less, each of the information communication devices monitors Time-To-Live values designated in the headers of IP packets received over a period of time from the start of the predetermined packet exchanging procedure to immediately before the end of the predetermined packet exchanging procedure to continuously update the maximum Time-To-Live value of the monitored Time-To-Live values, and checks whether the maximum Time-To-Live value does not exceed the control value.