Abstract: A modified IgG4 Fc fragment useful as a drug carrier is disclosed. When coupled to a drug, the resulting drug-IgG4 Fc conjugate can minimize the effector functions of the IgG4 Fc and the chain exchange with in vivo IgG while maintaining in vivo activity and improving in vivo duration of the drug conjugate.

Abstract: The present invention relates to insulin and/or an insulin analogue conjugate, and a use thereof, wherein the insulin and/or insulin analogue have improved in vivo durability and stability by linking the same with an Fc region of immunoglobulin. The insulin and/or an insulin analogue conjugate of the present invention show an in vivo activity similar to that of insulin. In addition, the insulin and/or insulin analogue conjugate of the present invention are long-acting formulations of insulin and/or the analogue thereof, in which serum half-life is remarkably increased, and therefore, the present invention provides remarkable insulin and/or an insulin analogue conjugate, which do not induce hypoglycemia, a drawback of insulin treatment.

Abstract: Embodiments relate to a configurable convolution engine that receives configuration information to perform convolution and other deep machine learning operations on streaming input data of various formats. The convolution engine may include two convolution circuits that each generate a stream of values by applying convolution kernels to input data. The stream of values may each define one or more channels of image data. A channel merge circuit combines the streams of values from each convolution circuit in accordance with a selected mode of operation. In one mode, the first and second streams from the convolution circuits are merged into an output stream having the combined channels of the first and second streams in an interleaved manner. In another mode, the first stream from the first convolution circuit is fed into the input of the second convolution circuit.

Abstract: Embodiments relate to a configurable convolution engine that receives configuration information to perform convolution and other deep machine learning operations on streaming input data of various formats. The convolution engine may include two convolution circuits that each generate a stream of values by applying convolution kernels to input data. The stream of values may each define one or more channels of image data. A channel merge circuit combines the streams of values from each convolution circuit in accordance with a selected mode of operation. In one mode, the first and second streams from the convolution circuits are merged into an output stream having the combined channels of the first and second streams in an interleaved manner. In another mode, the first stream from the first convolution circuit is fed into the input of the second convolution circuit.

Abstract: Perishable products, such as food products, can be preserved by cooling to temperatures below their freezing point without ice crystallization. In some embodiments, the perishable product is cooled to temperatures below the freezing point of water while a pulsed electric field and oscillating magnetic field are applied to the product. Apparatus for supercooling perishable products are also provided and include a pulsed electric field generator and an oscillating magnetic field generator.

Abstract: Provided is a long-acting pharmaceutical composition containing a conjugate comprising a physiologically active polypeptide linked to an immunoglobulin Fc fragment, wherein the composition contains a monomeric conjugate comprising one molecule of the physiologically active polypeptide linked to a single immunoglobulin Fc fragment, and optionally contains a multimeric conjugate comprising two or more molecules of the same physiologically active polypeptide linked to a single immunoglobulin Fc fragment, provided that the molar ratio of the monomeric conjugate to the multimeric conjugate in the composition is at least 19; a physiologically active polypeptide monomer-immunoglobulin Fc fragment conjugate that comprises a physiologically active polypeptide monomer linked via a non-peptidyl linker to an immunoglobulin Fc fragment, wherein the physiologically active polypeptide is linked via the non-peptidyl linker to the immunoglobulin Fc fragment in a monomeric form.

Abstract: Embodiments relate to a configurable convolution engine that receives configuration information to perform convolution and other deep machine learning operations on streaming input data of various formats. The convolution engine may include two convolution circuits that each generate a stream of values by applying convolution kernels to input data. The stream of values may each define one or more channels of image data. A channel merge circuit combines the streams of values from each convolution circuit in accordance with a selected mode of operation. In one mode, the first and second streams from the convolution circuits are merged into an output stream having the combined channels of the first and second streams in an interleaved manner. In another mode, the first stream from the first convolution circuit is fed into the input of the second convolution circuit.

Abstract: The present invention relates to an in-situ method for preparing rebaudioside A from sucrose and stevioside by sucrose synthase and glycosyltransferase.

Abstract: Embodiments relate to a neural processor circuit that includes a kernel access circuit and multiple neural engine circuits. The kernel access circuit reads compressed kernel data from memory external to the neural processor circuit. Each neural engine circuit receives compressed kernel data from the kernel access circuit. Each neural engine circuit includes a kernel extract circuit and a kernel multiply-add (MAD) circuit. The kernel extract circuit extracts uncompressed kernel data from the compressed kernel data. The kernel MAD circuit receives the uncompressed kernel data from the kernel extract circuit and performs neural network operations on a portion of input data using the uncompressed kernel data.

Abstract: Embodiments relate to a compiler. The compiler decreases data fetch and read associated with storing data in a data buffer of a neural processor circuit to or from a system memory. The data buffer can store an input slice of data for processing by a neural engine(s) of the neural processor circuit, an output slice of data output from the neural engine(s), and/or an intermediate data slice of data.

Abstract: Embodiments relate to a neural processor circuit including a plurality of neural engine circuits, a data buffer, and a kernel fetcher circuit. At least one of the neural engine circuits is configured to receive matrix elements of a matrix as at least the portion of the input data from the data buffer over multiple processing cycles. The at least one neural engine circuit further receives vector elements of a vector from the kernel fetcher circuit, wherein each of the vector elements is extracted as a corresponding kernel to the at least one neural engine circuit in each of the processing cycles. The at least one neural engine circuit performs multiplication between the matrix and the vector as a convolution operation to produce at least one output channel of the output data.

Abstract: Embodiments relate to a neural processor circuit with scalable architecture for instantiating one or more neural networks. The neural processor circuit includes a data buffer coupled to a memory external to the neural processor circuit, and a plurality of neural engine circuits. To execute tasks that instantiate the neural networks, each neural engine circuit generates output data using input data and kernel coefficients. A neural processor circuit may include multiple neural engine circuits that are selectively activated or deactivated according to configuration data of the tasks. Furthermore, an electronic device may include multiple neural processor circuits that are selectively activated or deactivated to execute the tasks.

Abstract: Embodiments relate to a neural processor circuit including neural engines, a buffer, and a kernel access circuit. The neural engines perform convolution operations on input data and kernel data to generate output data. The buffer is between the neural engines and a memory external to the neural processor circuit. The buffer stores input data for sending to the neural engines and output data received from the neural engines. The kernel access circuit receives one or more kernels from the memory external to the neural processor circuit. The neural processor circuit operates in one of multiple modes, at least one of which divides a convolution operation into multiple independent convolution operations for execution by the neural engines.

Abstract: The present invention relates to a conjugate comprising oxyntomodulin, an immunoglobulin Fc region, and non-peptidyl polymer wherein the conjugate being obtainable by covalently linking oxyntomodulin to immunoglobulin Fc region via non-peptidyl polymer, and a pharmaceutical composition for the prevention or treatment of obesity comprising the conjugates. The conjugate comprising oxyntomodulin and the immunoglobulin Fc of the present invention reduces food intake, suppresses gastric emptying, and facilitates lipolysis without side-effects, unlike native oxyntomodulin, and also shows excellent receptor-activating effects and long-term sustainability, compared to native oxyntomodulin. Thus, it can be widely used in the treatment of obesity with safety and efficacy.

Abstract: Perishable products, such as food products, can be preserved by cooling to temperatures below their freezing point without ice crystallization. In some embodiments, the perishable product is cooled to temperatures below the freezing point of water while a pulsed electric field and oscillating magnetic field are applied to the product. Apparatus for supercooling perishable products are also provided and include a pulsed electric field generator and an oscillating magnetic field generator.

Abstract: The present disclosure provides an operation-path recommendation method and apparatus. In the present disclosure, by an operation-path recommendation apparatus, a blood vessel graph model is generated based on patient's anatomical information, a plurality of candidate paths between defined start and destination points is extracted; node information on at least one node in each of the candidate paths is extracted; a cost function is applied to each candidate path, based on the extracted node information.

Abstract: The present invention relates to a conjugate comprising oxyntomodulin, an immunoglobulin Fc region, and non-peptidyl polymer wherein the conjugate being obtainable by covalently linking oxyntomodulin to immunoglobulin Fc region via non-peptidyl polymer, and a pharmaceutical composition for the prevention or treatment of obesity comprising the conjugates. The conjugate comprising oxyntomodulin and the immunoglobulin Fc of the present invention reduces food intake, suppresses gastric emptying, and facilitates lipolysis without side-effects, unlike native oxyntomodulin, and also shows excellent receptor-activating effects and long-term sustainability, compared to native oxyntomodulin. Thus, it can be widely used in the treatment of obesity with safety and efficacy.

Abstract: Embodiments relate to a configurable convolution engine that receives configuration information to perform convolution and other deep machine learning operations on streaming input data of various formats. The convolution engine may include two convolution circuits that each generate a stream of values by applying convolution kernels to input data. The stream of values may each define multiple channels of image data. A channel merge circuit interleaves the streams of values from the convolution circuits to generate an output stream of output values. The output stream includes the data multiple channels of each input stream arranged in an interleaved manner.