Abstract: Provided is a heterocyclic compound of Chemical Formula 1: wherein: X1 is O or S; L1 is a single bond or an unsubstituted phenylene; L2 is a single bond, or a substituted or unsubstituted: phenylene, naphthylene, or biphenylenyl; Y1 to Y3 are each independently N or CR3, where at least one is N; Ar1a and Ar1b are each independently a substituted or unsubstituted: C6-60 aryl or C1-60 heteroaryl containing 1 to 3 heteroatoms selected from N, O and S; R1 and R2 are each independently hydrogen, deuterium, cyano, or a substituted or unsubstituted C1-10 alkyl; each R3 is independently hydrogen, deuterium, halogen, cyano, nitro, amino, or a substituted or unsubstituted: C1-60 alkyl, C1-60 haloalkyl, C1-60 alkoxy, a C1-60 haloalkoxy, C3-60 cycloalkyl, C2-60 alkenyl, C6-60 aryl, C6-60 aryloxy, or a C1-60 heteroaryl containing at least one heteroatom selected from N, O and S; and an organic light emitting device comprising the same.

Abstract: A voltage generation circuit includes a voltage generation unit configured to generate a reference voltage using a power supply voltage and output the reference voltage through a voltage output node. The voltage generation circuit also includes a pre-charge unit configured to drive the voltage output node using the power supply voltage in response to a pre-charge control signal. The voltage generation circuit further includes a pre-charge control unit configured to generate at least one sampling voltage using the power supply voltage and generate the pre-charge control signal according to a result obtained by comparing the at least one sampling voltage with the reference voltage.

Abstract: An apparatus is provided to estimate two-dimensional poses. The apparatus includes a communications interface to receive raw data. The raw data includes a representation of first and second objects. In addition, the apparatus includes a memory storage unit to store the raw data. Furthermore, the apparatus includes a neural network engine to apply a first convolution to the raw data to extract first features from a first output, to downsample the first output to extract a first set of subfeatures from a first suboutput, to apply a second convolution to the first output to extract a second set of features from a second output, and to apply the second convolution the first suboutput. The second output and the second suboutput are to be merged to generate joint heatmaps of the first object and the second object, and bone heatmaps of the first object and the second object.

Abstract: A system for cleaning and drying semiconductor wafers improves device yield by providing more advanced control of the ratio of drying fluid to cleaning fluid, for example the ratio of N2 vapor to IPA vapor. In addition, a quick drain process is employed to improve process throughput, and to further improve particle and watermark removal during the cleaning and drying steps.

Abstract: A method for cleaning and drying semiconductor wafers improves device yield by providing more advanced control of the ratio of drying fluid to cleaning fluid, for example the ratio of N2 vapor to IPA vapor. In addition, a quick drain process is employed to improve process throughput, and to further improve particle and watermark removal during the cleaning and drying steps.

Abstract: A system and method for cleaning and drying semiconductor wafers improves device yield by providing more advanced control of the ratio of drying fluid to cleaning fluid, for example the ratio of N2 vapor to IPA vapor. In addition, a quick drain process is employed to improve process throughput, and to further improve particle and watermark removal during the cleaning and drying steps.