Abstract: Provided is an artificial intelligence air conditioner for calibrating sensor data. The artificial intelligence air conditioner includes a sensor unit configured to acquire sensor data; a communication unit configured to receive at least one of external sensor data or environment information from at least one of an external air conditioner or an internet of things (IoT) device; and a processor. The processor is configured to generate estimated sensor data corresponding to the sensor unit using a sensor data estimation model, the received external sensor data and the received environment information, determine whether the acquired sensor data is abnormal using the generated estimated sensor data, perform an air conditioning function using the acquired sensor data if the acquired sensor data is determined as normal, and perform the air conditioning function using the generated estimated sensor data if the acquired sensor data is determined as abnormal.

Abstract: An artificial intelligence apparatus for generating training data includes a memory configured to store a target artificial intelligence model, and a processor configured to receive sensor data, determine whether the received sensor data is irrelevant to a learning of the target artificial intelligence model, determine whether the received sensor data is useful for the learning if the received sensor data is determined to be relevant to the learning, extract a label from the received sensor data by using a label extractor if the received sensor data is determined to be useful for the learning, determine a confidence level of the extracted label, and generate training data including the received sensor data and the extracted label if the determined confidence level exceeds a first reference value.

Abstract: An artificial intelligence device mounted on a wine refrigerator including one or more divided spaces includes an input unit, a processor, and an output unit. The input unit is configured to recognize a wine label of each space and recognize an image for determining opening or non-opening of a wine. The processor is configured to acquire wine information by using an artificial intelligence model that receives image data acquired from the input unit as an input value, create a wine list table of each space by using the acquired information, and group wines having the same storage condition into at least one group according to the wine list table, and perform a control such that a temperature of each space is set based on the storage condition of the group. The output unit is configured to output a signal received from the processor.

Abstract: A robot cleaner for performing cleaning using artificial intelligence includes a suction unit configured to suction dust, a driving unit to drive the robot cleaner, a memory configured to store a compensation model for inferring optimal suction output and driving output for cleaning environment information for learning, and a processor configured to acquire cleaning environment information, determine a suction output value and a driving speed of the robot cleaner from the acquired cleaning environment information using the compensation model, control the suction unit to suction the dust with the determined suction output value, and control the driving unit to drive the robot cleaner at the determined driving speed.

Abstract: Embodiments provide an artificial intelligence apparatus for recognizing an utterance voice of a user. The artificial intelligence apparatus includes: a communication unit configured to communicate with at least one external artificial intelligence apparatus which obtains first sound data including the utterance voice of the user to generate a first speech recognition result from the first sound data; a microphone configured to obtain second sound data including the utterance voice; and a processor configured to receive first speech recognition results from each of the at least one external artificial intelligence apparatus, generate a second speech recognition result from the second sound data, generate a final speech recognition result for the utterance voice by using the first speech recognition results and the second speech recognition result, and perform a control corresponding to the final speech recognition result.

Abstract: A light output device for caring for a skin of a user using artificial intelligence includes a plurality of light sources configured to irradiate light, a memory configured to store a skin care model learned using a deep learning algorithm to infer a facial skin state of the user, a camera configured to capture an image of a face of the user, and a processor configured to acquire a skin state of each part of the face based on a first-type face image captured through the camera and the skin care model, and control light output of the plurality of light sources based on the acquired skin state.

Abstract: A semiconductor package includes a first semiconductor chip. A second semiconductor chip is below the first semiconductor chip. A third semiconductor chip is below the second semiconductor chip. The second semiconductor chip includes a first surface in direct contact with the first semiconductor chip, and a second surface facing the third semiconductor chip. A first redistribution pattern is on the second surface of the second semiconductor chip and is electrically connected to the third semiconductor chip. The third semiconductor chip includes a third surface facing the second semiconductor chip. A conductive pad is on the third surface.

Abstract: A semiconductor package includes a first semiconductor chip. A second semiconductor chip is below the first semiconductor chip. A third semiconductor chip is below the second semiconductor chip. The second semiconductor chip includes a first surface in direct contact with the first semiconductor chip, and a second surface facing the third semiconductor chip. A first redistribution pattern is on the second surface of the second semiconductor chip and is electrically connected to the third semiconductor chip. The third semiconductor chip includes a third surface facing the second semiconductor chip. A conductive pad is on the third surface.

Abstract: A semiconductor package may include a base layer, and a redistribution layer on the base layer. The semiconductor package may include a first pattern, a second pattern, and a passivation layer covering the first and second patterns. The semiconductor package may include a semiconductor chip on the base layer, a first connection terminal between the base layer and the semiconductor chip and coupled to one of chip pads of the semiconductor chip, and a mold layer between the base layer and the semiconductor chip. The first connection terminal may extend into the passivation layer and may be coupled to the first pattern. The second pattern may be electrically insulated from the semiconductor chip.

Abstract: The present invention relates to a medium for culturing mesenchymal stem cells, and more particularly to a medium composition for culturing mesenchymal stem cells, which contains basal medium, L-ascorbic acid 2-phosphate, fetal bovine serum, basic fibroblast growth factor (b-FGF), non-essential amino acids (NEAAs), insulin, N-acetyl-L-cysteine, calcium chloride, and hydrocortisone, and a method of culturing mesenchymal stem cells using the same. According to the present invention, a number of mesenchymal stem cells required for stem cell therapy can be obtained in a short time, and the ability of mesenchymal stem cells to differentiate is improved so that they are useful for stem cell therapy.

Abstract: The present invention relates to a medium for culturing mesenchymal stem cells, and more particularly to a medium composition for culturing mesenchymal stem cells, which contains basal medium, L-ascorbic acid 2-phosphate, fetal bovine serum, basic fibroblast growth factor (b-FGF), non-essential amino acids (NEAAs), insulin, N-acetyl-L-cysteine, calcium chloride, and hydrocortisone, and a method of culturing mesenchymal stem cells using the same. According to the present invention, a number of mesenchymal stem cells required for stem cell therapy can be obtained in a short time, and the ability of mesenchymal stem cells to differentiate is improved so that they are useful for stem cell therapy.

Abstract: The present invention relates to placenta tissue-derived multipotent stem cells and cell therapeutic agents containing the same. More specifically, to a method for producing placenta stem cells having the following characteristics, the method comprising culturing amnion, chorion, decidua or placenta tissue in a medium containing collagenase and bFGF and collecting the cultured cells: (a) showing a positive immunological response to CD29, CD44, CD73, CD90 and CD105, and showing a negative immunological response to CD31, CD34, CD45 and HLA-DR; (b) showing a positive immunological response to Oct4 and SSEA4; (c) growing attached to plastic, showing a round-shaped or spindle-shaped morphology, and forming spheres in an SFM medium so as to be able to be maintained in an undifferentiated state for a long period of time; and (d) having the ability to differentiate into mesoderm-, endoderm- and ectoderm-derived cells. Also the present invention relates to placenta stem cells obtained using the production method.