Abstract: Some embodiments provide a method for a neural network inference circuit that executes a neural network. The method loads a first set of inputs into an input buffer and computes a first dot product between the first set of inputs and a set of weights. The method shifts the first set of inputs in the buffer while loading a second set of inputs into the buffer such that a first subset of the first set of inputs is removed from the buffer, a second subset of the first set of inputs is moved to new locations in the buffer, and a second set of inputs are loaded into locations in the buffer vacated by the shifting. The method computes a second dot product between (i) the second set of inputs and the second subset of the first set of inputs and (ii) the set of weights.

Abstract: Some embodiments provide a neural network inference circuit for executing a neural network that includes multiple layers of computation nodes. At least a subset of the layers include non-convolutional layers. The neural network inference circuit includes multiple cores with memories that store input values for the layers. The cores are grouped into multiple clusters. For each cluster, the neural network inference circuit includes a set of processing circuits for receiving input values from the cores of the cluster and executing the computation nodes of the non-convolutional layers.

Abstract: Some embodiments provide a method for a neural network inference circuit that executes a neural network. The method loads a first set of inputs into an input buffer and computes a first dot product between the first set of inputs and a set of weights. The method shifts the first set of inputs in the buffer while loading a second set of inputs into the buffer such that a first subset of the first set of inputs is removed from the buffer, a second subset of the first set of inputs is moved to new locations in the buffer, and a second set of inputs are loaded into locations in the buffer vacated by the shifting. The method computes a second dot product between (i) the second set of inputs and the second subset of the first set of inputs and (ii) the set of weights.

Abstract: A method of providing information on a social networking service (SNS) activity to a chatroom, performed by a user terminal, includes: transmitting, to a server, an SNS request for each of a plurality of anonymous profiles created to be interlinked with an account of a user for an instant messaging service (IMS); displaying information on an SNS activity performed through a first anonymous profile selected by the user in correspondence with a chatroom in which the user participates in the IMS, from among the plurality of anonymous profiles, in the chatroom; receiving an input of changing a profile of the user, selected corresponding to the to chatroom, from the first anonymous profile to a second anonymous profile; and displaying information on an SNS activity performed through the second anonymous profile in the chatroom.

Abstract: A bonded structure is disclosed. The bonded structure can include a first element that has a first plurality of contact pads. The first plurality of contact pads includes a first contact pad and a second redundant contact pad. The bonded structure can also include a second element directly bonded to the first element without an intervening adhesive. The second element has a second plurality of contact pads. The second plurality of contact pads includes a third contact pad and a fourth redundant contact pad. The first contact pad is configured to connect to the third contact pad. The second contact pad is configured to connect to the fourth contact pad. The bonded structure can include circuitry that has a first state in which an electrical signal is transferred to the first contact pad and a second state in which the electrical signal is transferred to the second contact pad.

Abstract: Some embodiments provide an IC for implementing a machine-trained network with multiple layers. The IC includes a set of circuits to compute a dot product of (i) a first number of input values computed by other circuits of the IC and (ii) a set of predefined weight values, several of which are zero, with a weight value for each of the input values. The set of circuits includes (i) a dot product computation circuit to compute the dot product based on a second number of inputs and (ii) for each input value, at least two sets of wires for providing the input value to at least two of the dot product computation circuit inputs. The second number is less than the first number. Each input value with a corresponding weight value that is not equal to zero is provided to a different one of the dot product computation circuit inputs.

Abstract: Some embodiments provide a neural network inference circuit for executing a neural network that includes multiple layers of computation nodes. At least a subset of the layers include non-convolutional layers. The neural network inference circuit includes multiple cores with memories that store input values for the layers. The cores are grouped into multiple clusters. For each cluster, the neural network inference circuit includes a set of processing circuits for receiving input values from the cores of the cluster and executing the computation nodes of the non-convolutional layers.

Abstract: A bonded structure is disclosed. The bonded structure can include a first element that has a first plurality of contact pads. The first plurality of contact pads includes a first contact pad and a second redundant contact pad. The bonded structure can also include a second element directly bonded to the first element without an intervening adhesive. The second element has a second plurality of contact pads. The second plurality of contact pads includes a third contact pad and a fourth redundant contact pad. The first contact pad is configured to connect to the third contact pad. The second contact pad is configured to connect to the fourth contact pad. The bonded structure can include circuitry that has a first state in which an electrical signal is transferred to the first contact pad and a second state in which the electrical signal is transferred to the second contact pad.

Abstract: Provides a method for adjusting a thermal field of silicon carbide single crystal growth, and steps comprise: (A) screening a silicon carbide source, and filling into a bottom of a graphite crucible; (B) placing a guide inside the graphite crucible; (C) placing a rigid heat conductive material on the guide, so that a gap between the guide and a crucible wall of the graphite crucible is reduced; (D) fixing a seed crystal on a top of the graphite crucible; (E) placing the graphite crucible equipped with the silicon carbide source and the seed crystal in an induction high-temperature furnace used by physical vapor transport method; (F) performing a silicon carbide crystal growth process; and (G) obtaining a silicon carbide single crystal.

Abstract: The present invention relates to a biomarker composition for diagnosing radiation-resistant cancer comprising PMVK as an active ingredient and a method of diagnosing radiation-resistant cancer using the same, and when the PMVK is knocked down, it is confirmed that the survival rate of cancer cells decreases during radiation treatment, and based on this, the possibility as a factor related to radiation therapy resistance to cancer was suggested, and the PMVK can be used as a new target to enhance the effect of radiation therapy on human cancer cells.

Abstract: Provided is a method of enhancing silicon carbide monocrystalline growth yield, including the steps of: (A) filling a bottom of a graphite crucible with a silicon carbide raw material selected; (B) performing configuration modification on a graphite seed crystal platform; (C) fastening a silicon carbide seed crystal to the modified graphite seed crystal platform with a graphite clamping accessory; (D) placing the graphite crucible containing the silicon carbide raw material and the silicon carbide seed crystal in an inductive high-temperature furnace; (E) performing silicon carbide crystal growth process by physical vapor transport; and (F) obtaining silicon carbide monocrystalline crystals. The geometric configuration of the surface of the graphite seed crystal platform is modified to eradicate development of peripheral grain boundary.

Abstract: A method of providing information on a social networking service (SNS) activity to a chatroom, performed by a user terminal, includes: transmitting, to a server, an SNS request for each of a plurality of anonymous profiles created to be interlinked with an account of a user for an instant messaging service (IMS); displaying information on an SNS activity performed through a first anonymous profile selected by the user in correspondence with a chatroom in which the user participates in the IMS, from among the plurality of anonymous profiles, in the chatroom; receiving an input of changing a profile of the user, selected corresponding to the chatroom, from the first anonymous profile to a second anonymous profile; and displaying information on an SNS activity performed through the second anonymous profile in the chatroom.

Abstract: Some embodiments provide a method for a circuit that executes a neural network including multiple nodes. The method loads a set of weight values for a node into a set of weight value buffers, a first set of bits of each input value of a set of input values for the node into a first set of input value buffers, and a second set of bits of each of the input values into a second set of input value buffers. The method computes a first dot product of the weight values and the first set of bits of each input value and a second dot product of the weight values and the second set of bits of each input value. The method shifts the second dot product by a particular number of bits and adds the first dot product with the bit-shifted second dot product to compute a dot product for the node.

Abstract: Some embodiments provide a neural network inference circuit (NNIC) for executing a neural network that includes multiple computation nodes at multiple layers. The NNIC includes a set of clusters of core computation circuits and a channel, connecting the core computation circuits, that includes separate segments corresponding to each of the clusters. The NNIC includes a fabric controller circuit, a cluster controller circuit for each of the clusters, and a core controller circuit for each of the core computation circuits. The fabric controller circuit receives high-level neural network instructions from a microprocessor and parses the high-level neural network instructions.

Abstract: Some embodiments provide a neural network inference circuit (NNIC) for executing a neural network that includes computation nodes at multiple layers. The NNIC includes multiple value computation circuits for computing output values of computation nodes. The NNIC includes a set of memories for storing the output values of computation nodes for use as input values to computation nodes in subsequent layers of the neural network. The NNIC includes a set of write control circuits for writing the computed output values to the set of memories. Upon receiving a set of computed output values, a write control circuit (i) temporarily stores the set of computed output values in a cache when adding the set of computed output values to the cache does not cause the cache to fill up and (ii) writes data in the cache to the set of memories when the cache fills up.

Abstract: Some embodiments provide a neural network inference circuit for executing a neural network with multiple layers. The neural network inference circuit includes a set of processing circuits for executing the layers of the neural network, a set of memories for storing data used by the set of processing circuits to execute the neural network layers, and a read controller for retrieving the data from the set of memories and storing the data in a cache for use by the set of processing circuits. The read controller retrieves the data in one of (i) a first mode for retrieving the data from sequential memory locations within the set of memories to store in the cache and (ii) a second mode for retrieving the data from non-sequential memory locations within the set of memories to store in the cache.

Abstract: A method of providing information on a social networking service (SNS) activity to a chatroom, performed by a server, includes: providing an SNS for each of a plurality of anonymous profiles created to be interlinked with an account for an instant messaging service (IMS); receiving information on an SNS activity performed through a first anonymous profile selected corresponding to a chatroom of the IMS, among the plurality of anonymous profiles of a user participating in the chatroom; providing the information on the SNS activity performed through the first anonymous profile to the chatroom; receiving a request to change the profile of the user selected corresponding to the chatroom from the first anonymous profile to a second anonymous profile; receiving information on an SNS activity performed through the second anonymous profile; and providing the information on the SNS activity performed through the second anonymous profile to the chatroom.

Abstract: Some embodiments provide a method for a neural network inference circuit that executes a neural network including computation nodes at multiple layers. Each of a set of the nodes includes a dot product of input values and weight values. The method reads multiple input values for a particular layer from a memory location of the circuit. A first set of the input values are used for a first dot product for a first node of the layer. The method stores the input values in a cache. The method computes the first dot product for the first node using the first set of input values. Without requiring a read of any input values from any additional memory locations, the method computes a second dot product for a second node of the particular layer using a subset of the first set of input values and a second set of the input values.

Abstract: Some embodiments provide a method for a circuit that executes a neural network including multiple nodes. The method loads a set of weight values for a node into a set of weight value buffers, a first set of bits of each input value of a set of input values for the node into a first set of input value buffers, and a second set of bits of each of the input values into a second set of input value buffers. The method computes a first dot product of the weight values and the first set of bits of each input value and a second dot product of the weight values and the second set of bits of each input value. The method shifts the second dot product by a particular number of bits and adds the first dot product with the bit-shifted second dot product to compute a dot product for the node.

Abstract: The present invention relates to an unattended-cooking rice cooker device in which cooking ingredients such as rice or other grains are supplied, cleaned, and cooked and, more specifically, to an unattended-cooking rice cooker device comprising: a supply unit that divides and stores the cooking ingredients to supply the cooking ingredients; a cleaning unit that receives the cooking ingredients supplied from the supply unit and cleans the cooking ingredients supplied therein while forwardly and backwardly rotating; and a cooking unit including a rice cooker that receives and cooks the cooking ingredients cleaned in the cleaning unit, so as to automatically perform the cleaning and cooking of the ingredients. At the same time, a cleaning drum unit of the cleaning unit can be used as a lid (cap) of the cooking unit including the rice cooker, and thus the number of components can be reduced.