Abstract: Disclosed herein is a pouch-type secondary battery and a manufacturing method thereof including. The pouch-type secondary battery includes an electrode assembly; an electrode lead extending from an electrode tab of the electrode assembly; an upper pouch; and a lower pouch. The upper pouch and the lower pouch include a sealed area where the edges are sealed and an unsealed area. An average thickness of the sealed area of the upper pouch and an average thickness of the sealed area of the lower pouch are equal to each other, and the average thickness of the unsealed area of the upper pouch is smaller than the average thickness of the unsealed area of the lower pouch, so that even if the thickness of the lower pouch is reduced during the sealing process of heat-sealing, the sealed area of the upper and lower pouches are formed with little difference in thickness.

Abstract: The present disclosure relates to an artificial intelligence (AI) system for simulating functions, such as recognition and determination, of the human brain by using a machine learning algorithm such as deep learning, and an application thereof. Provided are an automatic cooking device and method for selectively emitting light of different wavelength bands to a food material, identifying the food material by obtaining information about the food material, based on reflected light, and controlling a cooking process of the food material.

Abstract: The present disclosure relates to an artificial intelligence (AI) system for simulating functions, such as recognition and determination, of the human brain by using a machine learning algorithm such as deep learning, and an application thereof. Provided are an automatic cooking device and method for selectively emitting light of different wavelength bands to a food material, identifying the food material by obtaining information about the food material, based on reflected light, and controlling a cooking process of the food material.