Abstract: Edge device video processing with encryption of confidential image content is provided. The process includes obtaining, by the edge device, a video stream, and partitioning image content of the video stream into a confidential part and a non-confidential part. Further, the process includes encrypting, by the edge device, the confidential part of the image content to obtain encrypted image content from the confidential part and non-encrypted image content from the non-confidential part of the image content. In addition, the process includes encoding, by the edge device, the encrypted image content and the non-encrypted image content into an encoded video stream, and transmitting the encoded video stream to one or more processing servers.

Abstract: A roly-poly toy with adjustable center of gravity, comprising a first and second base part arranged at an interval, a first winding mandrel mounted on the first base part, a second winding mandrel mounted on the second base part, a reel belt, and a drive assembly. The reel belt is annular and has a first end wound around the first winding mandrel and a second end wound around the second winding mandrel. The drive assembly can switch between a first driving state and a second driving state. When the drive assembly is in the first driving state, the first winding mandrel rotates to roll up the reel belt, and the second winding mandrel rotates to release the reel belt. When it is in the second driving state, the second winding mandrel rotates to roll up the reel belt, and the first winding mandrel rotates to release the reel belt.

Abstract: A high-pressure gas cylinder valve for vehicle includes a valve seat having a gas charging runner and a gas supplying runner. A check valve is connected in series onto the gas charging runner, and the check valve and a solenoid valve are connected in series sequentially onto the gas supplying runner in a gas flow direction. A portion of the gas supplying runner located downstream of the solenoid valve is jointly connected to a portion of the gas charging runner adjacent to a gas inlet end and supplies gas to outside through a gas inlet of the gas charging runner when the gas supplying runner supplies gas. The gas cylinder valve further includes a flow-blocking buffer structure connected in series onto the gas supplying runner and located downstream of the solenoid valve and upstream of an intersection of the gas supplying runner and the gas charging runner.

Abstract: A method and a network device for achieving end-to-end latency guarantees, where the method includes: receiving, by a network device in a core network, a latency guarantee service (LGS) request message from a source node in a data network (DN), the LGS request message requesting to transmit traffic to an end device and comprising one or more of a LGS indicator, an end-to-end packet delay budget (PDB) requirement, a maximum flow rate, and an end device identifier; determining a remaining PDB for the core network and a transport network; sending an LGS slice selection request to a network function, including one or more of the remaining PDB, the maximum flow rate, and the identifier; and receiving an LGS response from the network function, which identifies an LGS slice for the requested traffic and indicates whether the LGS slice is able to satisfy the remaining PDB and the maximum flow rate.

Abstract: A computer-implemented method for training a machine learning model includes receiving a first training job at a processing device of a computer system having a plurality of graphics processing unit (GPU) resources, the first training job being part of a set of training jobs, and determining an amount of available memory in each GPU resource of the plurality of GPU resources. The method also includes loading the training job into one or more GPU resources with at least one second training job. The loading includes determining a cost model indicating an efficiency cost of each of a plurality of packing patterns, and packing the first training job and the second training job into the one or more GPU resources according to a packing pattern associated with a lowest efficiency cost.

Abstract: Provided is a system (100) for simultaneously producing a first and a second epitaxial monocrystalline layer on a respective first and second substrate, comprising a first inner container (3) defining a first cavity for accommodating a first source material and the first substrate, a second inner container (4) defining a second cavity for accommodating a second source material and the second substrate, an insulation container (6) arranged to accommodate the first and second inner containers (3, 4) therein, an outer container (7) arranged to accommodate the insulation container (6) and the first and second inner containers (3, 4) therein and heating means (8) arranged outside the outer container (7) and configured to heat the first and second cavities simultaneously.

Abstract: A system (100) for producing an epitaxial monocrystalline layer on a substrate (20) comprising: an inner container (30) defining a cavity (5) for accommodating a source material (10) and the substrate (20); an insulation container (50) arranged to accommodate the inner container (30) therein; an outer container (60) arranged to accommodate the insulation container (50) and the inner container (30) therein; and heating means (70) arranged outside the outer container (60) and configured to heat the cavity (5), wherein the inner container (30) comprises a plurality of spacer elements (320) arranged to support the substrate (20) at a predetermined distance above a solid monolithic source material (10), wherein each spacer element (320) comprises a base portion (321) and a top portion (322), wherein at least part of the top portion (322) tapers towards an apex (323) arranged to contact the substrate (20). A corresponding method is also disclosed.

Abstract: A computer-implemented method for compressing a machine learning model includes converting an input machine learning model into a standard machine learning model. The method further includes converting the standard machine learning model into a plurality of pruned machine learning models, each of the pruned machine learning models converted using a corresponding pruning ratio from a pruning ratio candidate list. The method further includes determining, for each of the pruned machine learning models, a size-to-error ratio. The method further includes selecting, based on the size-to-error ratio of the pruned machine learning models, a first pruning ratio from the pruning ratio candidate list. The method further includes generating a compressed machine learning model by compressing the input machine learning model using the first pruning ratio that is selected. The method further includes deploying the compressed machine learning model for production.

Abstract: Methods of forming and processing semiconductor devices are described. Certain embodiments related to electronic devices which comprise a dipole region having an interlayer dielectric, a high-? dielectric material, and a dipole layer. The dipole layer comprises one or more of titanium lanthanum nitride (TiLaN), titanium yttrium nitride (TiYN), titanium strontium nitride (TiSrN), titanium magnesium nitriride (TiMgN, titanium aluminum nitride (TiAlN), titanium tantalum nitride (TiTaN), hafnium carbide (HfC), hafnium nitride (HfN), hafnium oxynitride (HfON), hafnium oxycarbide (HfOC), hafnium carbide aluminum (HfCAl), hafnium aluminum nitride (HfAlN), or hafnium carbonitride (HfCN).

Abstract: A traffic forwarding method and an apparatus, related to the field of communication technologies, to reduce a rate of traffic loss. The method includes: during graceful restart of a device in a network, when a restart device in the network enters a restart state, a neighbor device of the restart device updates, from first routing information to second routing information, routing information used to forward target traffic. In addition, the neighbor device forwards the target traffic based on the second routing information. The first routing information indicates the neighbor device to send the target traffic to the restart device. The second routing information indicates the neighbor device to send the target traffic to another device.

Abstract: A packet transmission method, a transmission control method, an apparatus, and a system are disclosed. A SR path includes a first network node and a second network node. There are a plurality of communication links between the first network node and the second network node. After obtaining a first packet, the first network node determines a first communication link based on a first link quality identifier carried in the first packet, and forwards the first packet to the second network node through the first communication link. The first link quality identifier indicates a first quality requirement on the communication link between the first network node and the second network node. The plurality of communication links between the first network node and the second network node include the first communication link, and link quality of the first communication link meets the first quality requirement.

Abstract: A piezoelectric energy harvester has a layered structure comprising a first electrode, a polymeric piezoelectric material, and a second electrode, the layered structure coupled to receive mechanical stress from the environment, and the first and second electrode electrically coupled to a power converter. The power converter is adapted to charge an energy storage device selected from a capacitor and a battery. The method of harvesting energy from the environment includes providing a piezoelectric device comprising a layer of a polymeric piezoelectric material disposed between a first and a second electrode; coupling mechanical stress derived from an environment to the piezoelectric device; and coupling electrical energy from the piezoelectric device.

Abstract: Methods for pre-cleaning substrates having metal and dielectric surfaces are described. The substrate is exposed to a strong reductant to remove contaminants from the metal surface and damage the dielectric surface. The substrate is then exposed to an oxidation process to repair the damage to the dielectric surface and oxidize the metal surface. The substrate is then exposed to a weak reductant to reduce the metal oxide to a pure metal surface without substantially affecting the dielectric surface. Processing tools and computer readable media for practicing the method are also described.

Abstract: A method for advertising a processing capability of a network device, a system, and a network device are disclosed, and relate to the field of communication technologies. The method is performed by a network device, and includes: generating a advertisement message including indication information, where the indication information is used to indicate a processing capability of the network device, the processing capability of the network device includes a processing capability of ignoring secondary path information included in a packet when the network device serves as a network device on a primary path for forwarding the packet and receives the packet including primary path information and the secondary path information, and the secondary path information is used to indicate one or more secondary paths for forwarding the packet when the primary path is unavailable.

Abstract: A method, a computer program product, and a computer system run an inference model with a graphical processing unit (GPU) having a restrained resource. The method includes receiving an input to run a sequential inference process comprising a plurality of layers. The method comprises determining inference model information. The method comprises determining a count (M) of the layers for each step to load and run based on the inference model information. The method comprises determining allocations in the available GPU memory configured for data associated with the M layers, a step input and a step output, and intermediate information. The method comprises loading and running the M layers using the step input to calculate the step output. The method comprises generating the intermediate information for the step output for a subsequent step to utilize the step output as a further step input in the subsequent step.

Abstract: Methods of forming and processing semiconductor devices are described. Certain embodiments related to electronic devices which comprise a dipole region having an interlayer dielectric, a high-? dielectric material, and a dipole layer. The dipole layer comprises one or more of titanium aluminum nitride (TiAIN), titanium tantalum nitride (TiTaN), titanium oxide (TiO), tantalum oxide (TaO), and titanium aluminum carbide (TiAIC).

Abstract: Methods of forming and processing semiconductor devices are described. Certain embodiments related to electronic devices which comprise a dipole region having an interlayer dielectric, a high-? dielectric material, and a dipole layer. The dipole layer comprises one or more of titanium aluminum nitride (TiAlN), titanium tantalum nitride (TiTaN), titanium oxide (TiO), tantalum oxide (TaO), and titanium aluminum carbide (TiAlC).

Abstract: Provided is a method and system for normalizing catalog item data to create higher quality search results. In one example, the method may include receiving a record comprising an unstructured description of an object, identifying a type of the object from among a plurality of object types and identifying a predefined attribute of the identified type of object, extracting a value from the unstructured description corresponding to the predefined attribute and modifying the extracted value to generate a normalized attribute value, and storing a structured record of the object in a structured format comprising a plurality of values of a plurality of attributes of the object from the unstructured description including the normalized attribute value for the predefined attribute of the object.

Abstract: Disclosed is a method of synthesizing a (1R,2R)-nitroalcohol compound of formula (I), as shown in the following reaction scheme, including: subjecting a compound of formula (II) and a compound of formula (III) to a condensation reaction in an organic solvent in the presence of a copper complex generated in situ from a chiral (1S,2R)-amino alcohol ligand and a cupric salt to produce the (1R,2R)-nitroalcohol compound of formula (I), where R1 and R2 are defined in the same manner as that in the specification. The method involves mild reaction conditions, excellent diastereoselectivity and high chemical yield, and thus it is suitable for industrial applications.

Abstract: Aspects of the invention include systems and methods configured to provide simplified and efficient artificial intelligence (AI) model deployment. A non-limiting example computer-implemented method includes receiving an AI model deployment input having pre-process code, inference model code, and post-process code. The pre-process code is converted to a pre-process graph. The inference model and the post-process model are similarly converted to an inference graph and a post-process graph, respectively. A pipeline path is generated by connecting nodes in the pre-process graph, the inference graph, and the post-process graph. The pipeline path is deployed as a service for inference.