Abstract: Described herein are hardware acceleration of random number generation for machine learning and deep learning applications. An apparatus (700) includes a uniform random number generator (URNG) circuit (710) to generate uniform random numbers and an adder circuit (750) that is coupled to the URNG circuit (710). The adder circuit hardware (750) accelerates generation of Gaussian random numbers for machine learning.

Abstract: Methods, apparatus, systems, and articles of manufacture for modifying a machine learning model are disclosed. An example apparatus includes a supervised branch inserter to insert a supervised branch into a machine learning model at an identified location, a first cluster generator to generate a first cluster of the inserted supervised branch using a first clustering technique, a second cluster generator to generate a second cluster of the inserted supervised branch using a second clustering technique, the second clustering technique different from the first clustering technique, a cluster joiner to join the first cluster and the second cluster to form a clustering block, the clustering block appended to an end of the supervised branch, and a propagation strategy executor to execute a propagation training strategy to modify a parameter of the machine learning model.

Abstract: A semiconductor structure is disclosed. The semiconductor structure includes a staircase structure disposed over a substrate. The staircase structure includes a plurality of layer stacks, where each layer stack is made of a first material layer over a portion of a second material layer. The staircase structure further includes a plurality of landing pads, where each landing pad is disposed over another portion of the second material layer of a respective layer stack.

Abstract: A semiconductor structure is disclosed. The semiconductor structure includes a staircase structure disposed over a substrate. The staircase structure includes a plurality of layer stacks, where each layer stack is made of a first material layer over a portion of a second material layer. The staircase structure further includes a plurality of landing pads, where each landing pad is disposed over another portion of the second material layer of a respective layer stack.

Abstract: A CC-NBS-LRR gene NLR1-V encoded by the enduring and broad-spectrum gene Pm21 which is resistant to powdery mildew in the wheat-Haynaldia villosa 6VS/6AL translocation line in Nannong 9918, and an expression vector and use thereof. The ORF sequence of the NLR1-V gene having an NLR domain is as shown in SEQ ID NO: 1, and the encoded amino acid sequence is as shown in SEQ ID NO: 2.

Abstract: Methods and systems are disclosed using camera devices for deep channel and Convolutional Neural Network (CNN) images and formats. In one example, image values are captured by a color sensor array in an image capturing device or camera. The image values provide color channel data. The captured image values by the color sensor array are input to a CNN having at least one CNN layer. The CNN provides CNN channel data for each layer. The color channel data and CNN channel data is to form a deep channel image that stored in a memory. In another example, image values are captured by sensor array. The captured image values by the sensor array are input a CNN having a first CNN layer. An output is generated at the first CNN layer using the captured image values by the color sensor array. The output of the first CNN layer is stored as a feature map of the captured image.

Abstract: Methods and systems are disclosed using improved training and learning for deep neural networks. In one example, a deep neural network includes a plurality of layers, and each layer has a plurality of nodes. The nodes of each L layer in the plurality of layers are randomly connected to nodes of an L+1 layer. The nodes of each L+1 layer are connected to nodes in a subsequent L layer in a one-to-one manner. Parameters related to the nodes of each L layer are fixed. Parameters related to the nodes of each L+1 layers are updated. In another example, inputs for the input layer and labels for the output layer of a deep neural network are determined related to a first sample. A similarity between different pairs of inputs and labels is estimated using a Gaussian regression process.

Abstract: A system for verifying scenario objects is described. The system generates, based on a historical market data model, a scenario object that includes an adjustment to a current market data object. The system then verifies that the scenario object comprises a valid scenario object by verifying that the scenario object does not violate one or more arbitrage conditions when applied to the current market data object. Upon generating the valid scenario object, the system calculates an adjusted market data object based on the valid scenario object and the current market data object.

Abstract: The present invention relates to a multivalent HPV immunogenic composition for preventing human papillomavirus (HPV) related diseases or infections and uses thereof. Said multivalent HPV immunogenic composition comprises: HPV virus-like particles assembled from L1 proteins of HPV Types 6, 11, 16, 18, 31, 33, 45, 52, and 58; and one or more HPV virus-like particles assembled from L1 proteins of other pathogenic HPV types. In one embodiment, said one or more other pathogenic HPV types are selected from HPV Types 35, 39, 51, 56 and 59. In one embodiment, at least one of said HPV virus-like particles is a chimeric HPV virus-like particle, and said chimeric HPV virus-like particle comprises one or more chimeric HPV L1 proteins.

Abstract: Embodiments of bonded semiconductor structures and fabrication methods thereof are disclosed. In an example, a method for forming a semiconductor device is disclosed. A first interconnect layer including first interconnects is formed above a first substrate. A first bonding layer including first bonding contacts is formed above the first interconnect layer, such that each first interconnect is in contact with a respective first bonding contact. A second interconnect layer including second interconnects is formed above a second substrate. A second bonding layer including second bonding contacts is formed above the second interconnect layer, such that at least one second bonding contact is in contact with a respective second interconnect, and at least another second bonding contact is separated from the second interconnects. The first and second substrates are bonded in a face-to-face manner, such that each first bonding contact is in contact with one second bonding contact at a bonding interface.

Abstract: The present invention relates to chimeric papilloma virus L1 proteins and polynucleotides encoding thereof, and also to HPV virus-like particles and the preparation methods thereof. Said chimeric papilloma virus L1 protein comprises an N-terminal fragment derived from L1 protein of the first papilloma virus type, said N-terminal fragment maintains the immunogenicity of the L1 protein of the corresponding type of HPV; and a C-terminal fragment derived from L1 protein of the second papilloma virus type, said L1 protein of the second papilloma virus type has a better expression level and a better solubility compared to the L1 proteins of other HPV types; wherein said chimeric papilloma virus L1 proteins have the immunogenicity of the L1 proteins of the corresponding HPV types. Said chimeric papilloma virus L proteins have better expression amount and solubility for mass production of vaccines.

Abstract: Embodiments of a hybrid-bonded semiconductor structure are disclosed. The semiconductor structure comprises a first conductive structure and a second conductive structure in a base dielectric layer. The base dielectric layer has a non-flat top surface. A first top surface of the first conductive structure is non-coplanar with a second top surface of the second conductive structure. The semiconductor structure further comprises an alternating dielectric layer stack comprising a plurality of dielectric layers sequentially disposed on the base dielectric layer, wherein at least two of the plurality of dielectric layers have non-uniform thickness. The semiconductor structure further comprises a first lead wire and a second lead wire formed in the alternating dielectric layer stack and electrically connected to the first conductive structure and the second conductive structure, respectively.

Abstract: A Video Semantic Segmentation System (VSSS) is disclosed that performs accurate and fast semantic segmentation of videos using a set of temporally distributed neural networks. The VSSS receives as input a video signal comprising a contiguous sequence of temporally-related video frames. The VSSS extracts features from the video frames in the contiguous sequence and based upon the extracted features, selects, from a set of labels, a label to be associated with each pixel of each video frame in the video signal. In certain embodiments, a set of multiple neural networks are used to extract the features to be used for video segmentation and the extraction of features is distributed among the multiple neural networks in the set. A strong feature representation representing the entirety of the features is produced for each video frame in the sequence of video frames by aggregating the output features extracted by the multiple neural networks.

Abstract: The present invention relates to compositions containing plant materials or extracts with inhibitory effect on a 5-HT3a and/or NK-1 receptor for preventing or treating idiopathic vomiting.

Abstract: Described herein are advanced artificial intelligence agents for modeling physical interactions. In one embodiment, an apparatus to provide an active artificial intelligence (AI) agent includes at least one database to store physical interaction data and compute cluster coupled to the at least one database. The compute cluster automatically obtains physical interaction data from a data collection module without manual interaction, stores the physical interaction data in the at least one database, and automatically trains diverse sets of machine learning program units to simulate physical interactions with each individual program unit having a different model based on the applied physical interaction data.

Abstract: Methods and systems for budgeted and simplified training of deep neural networks (DNNs) are disclosed. In one example, a trainer is to train a DNN using a plurality of training sub-images derived from a down-sampled training image. A tester is to test the trained DNN using a plurality of testing sub-images derived from a down-sampled testing image. In another example, in a recurrent deep Q-network (RDQN) having a local attention mechanism located between a convolutional neural network (CNN) and a long-short time memory (LSTM), a plurality of feature maps are generated by the CNN from an input image. Hard-attention is applied by the local attention mechanism to the generated plurality of feature maps by selecting a subset of the generated feature maps. Soft attention is applied by the local attention mechanism to the selected subset of generated feature maps by providing weights to the selected subset of generated feature maps in obtaining weighted feature maps.

Abstract: Embodiments of methods for forming a hybrid-bonded semiconductor structure are disclosed. The method include disposing first second, third, and fourth dielectric layers, forming first and second openings by etching the fourth dielectric layer using a first etching selectivity, etching the third and fourth dielectric layers in the first and second openings respectively using a second etching selectivity, etching the second and third dielectric layers in the first and second openings using the first etching selectivity, etching the first dielectric layer in the first opening and the second dielectric layer in the second opening using the second etching selectivity, etching the first dielectric layer in the first and second openings using the first etching selectivity, and forming conductive material in the first and second openings.

Abstract: An object management system (OMS) receives a plurality of objects to be stored. The OMS identifies a subset of objects associated with a same time period and a same namespace from the plurality of objects and generates a batch object comprising the subset of objects. The OMS issues a write request to store the batch object in an object storage system (OSS) and stores, for each object in the subset of objects, a data structure comprising an identifier of the batch object and a position of the object within the batch object. Upon receiving a read request for an object, the OMS determines, based on the data structure, whether the object is stored in the OSS and issues a read request to the OSS based on the identifier of the batch object and the position of the object within the batch, if the objects is stored in the OSS.

Abstract: Embodiments of methods and structures for forming a 3D integrated wiring structure are disclosed. The method can include forming an insulating layer on a front side of a first substrate; forming a semiconductor layer on a front side of the insulating layer; patterning the semiconductor layer to expose at least a portion of a surface of the insulating layer; forming a plurality of semiconductor structures over the front side of the first substrate, wherein the semiconductor structures include a plurality of conductive contacts and a first conductive layer; joining a second substrate with the semiconductor structures; performing a thinning process on a backside of the first substrate to expose the insulating layer and one end of the plurality of conductive contacts; and forming a conductive wiring layer on the exposed insulating layer.

Abstract: A camera supporting device includes a supporting frame, an outer casing, a camera holding structure, and a linkage mechanism. The outer casing is rotatably connected to the supporting frame. The camera holding structure is rotatably connected to the supporting frame independently of the outer casing. The linkage mechanism incudes a driving part and a driven part kinematically connected to the driving part. The driving part is fixedly connected to the camera holding structure. The driven part is fixedly connected to the outer casing. An image-capturing device can be fixed on the camera holding structure. Through the camera holding structure driving the outer casing through the linkage mechanism, the outer casing can provide a wider angle range available for the image-capturing device to capturing exterior images.