Abstract: Provided are a method for generating a summary and a system therefor. The method according to some embodiments may include calculating a likelihood loss for a summary model using a first text sample and a first summary sentence corresponding to the first text sample, calculating an unlikelihood loss for the summary model using a second text sample and the first summary sentence, the second text sample being a negative sample generated from the first text sample, and updating the summary model based on the likelihood loss and the unlikelihood loss.

Abstract: A method of reinforcement learning of a neural network device for generating a verification vector for verifying a circuit design comprising a circuit block includes inputting a test vector to the circuit block, generating one or more rewards based on a coverage corresponding to the test vector, the coverage being determined based on a state transition of the circuit block based on the test vector, and applying the one or more rewards to a reinforcement learning.

Abstract: Disclosed is a radar antenna including an antenna body including a first plate and a second plate; a slot radiation part and a slot reception part formed in the first plate; a transmission port and a reception port formed in the second plate; and a waveguide formed by assembling the first and second plates. The slot radiation part includes a first slot radiation part configured to radiate a radio wave in a first detection range, and a second slot radiation part configured to radiate radio waves in a second detection range having a larger width and distance than the first detection range.

Abstract: The present invention relates to a method for easily preparing (2RS)-amino-(3S)-hydroxy-butyric acid, which is a chiral amino acid, in a high yield and a high purity using a chemical synthesis and enzymatic reduction reaction; an intermediate therefor; and a method for preparing the intermediate.