Abstract: Provided are examples of electrochemically active electrode materials, electrodes using such materials, and methods of manufacturing such electrodes. Electrochemically active electrode materials may include a high surface area template containing a metal silicide and a layer of high capacity active material deposited over the template. The template may serve as a mechanical support for the active material and/or an electrical conductor between the active material and, for example, a substrate. Due to the high surface area of the template, even a thin layer of the active material can provide sufficient active material loading and corresponding battery capacity. As such, a thickness of the layer may be maintained below the fracture threshold of the active material used and preserve its structural integrity during battery cycling.

Abstract: The present disclosure provides a path planning method and device for an unmanned device. The method includes taking a current landmark as a current node, obtaining a landmark corresponding to a product to be picked with a route closest to the current node, and taking the obtained landmark as the current node, wherein an initial value of the current node is an initial landmark of the unmanned device; determining whether the current node is a landmark corresponding to the last product to be picked; if no, performing the step of obtaining a landmark corresponding to a product to be picked with a route closest to the current node; and if yes, taking a route composed of the initial landmark of the unmanned device and landmarks corresponding to products to be picked that are selected sequentially as a travel route of the unmanned device.

Abstract: Provided are electrodes for use in electrochemical cells and active material components used to form these electrodes. Also provided are methods of forming these active material components as well as methods of forming these electrodes. An electrode comprises a current collector and an active layer, comprising active material structures and an inorganic conductive layer. The inorganic conductive layer coats and binds together these active material structures. Furthermore, the inorganic conductive layer also provides adhesion of the active layer to the current collector. The inorganic conductive layer has an electronic conductivity of at least 104 S/m and provides an electronic path among the active material structures and, in some examples, between the active material structures and the current collector. In some embodiments, the same inorganic conductive layer shared by multiple active material structures.

Abstract: The present disclosure relates to a goods picking and conveying device, a goods picking system and a goods picking method. The conveying device includes a container configured to accommodate goods; a track arranged on a suspended ceiling of a warehouse to guide the container to move; and a container scanning controller configured to identify the container running on the track, and obtain conveying information of the container according to an identification result, and cause the container to move to a corresponding check station according to the conveying information of the container.

Abstract: An electrode includes one or more intermediate layers positioned between a substrate and an electrochemically active material. Intermediate layers may be made from chromium, titanium, tantalum, tungsten, nickel, molybdenum, lithium, as well as other materials and their combinations. In certain embodiments, an active material includes one or more high capacity active materials, such as silicon, tin, and germanium. These materials tend to swell during cycling and may loose mechanical and/or electrical connection to the substrate. A flexible intermediate layer may compensate for swelling and provide a robust adhesion interface. Methods of fabricating electrodes involve forming metal silicide nanostructures.

Abstract: Provided are methods of introducing additional lithium ions into lithium-ion electrochemical cells as well as positive electrodes, comprising these additional lithium ions. A method may involve introducing a temporary lithium additive into a positive electrode, such as mixing the additive into slurry used for coating the electrode. The positive electrode also comprises a positive active material, different from the temporary lithium additive and used as a source of primary lithium ions. The positive active material is operable to release and also later to receive lithium ions during cycling. The temporary lithium additive is operable to release additional lithium ions during its decomposition, but not to receive any lithium ions thereafter. The amount of these additional lithium ions may be selected based on expected lithium ion losses in the cell. The temporary lithium additive may decompose when applying a voltage between the electrodes, e.g., during initial cycling.

Abstract: Provided are hybrid active material structures for use in electrodes of electrochemical cells and methods of forming these structures. A hybrid active material structure comprises at least one first substructure and at least one second substructures, each comprising a different layered active material and interfacing each other. Combining multiple layered active materials into the same structure and arranging these materials in specific ways allow achieving synergetic effects of their desirable characteristics. For example, a layered active material, which forms a stable solid electrolyte interface (SEI) layer, may be form an outer shell of a hybrid active material structure and interface with electrolyte. This shell may surround another layered active material, which has a higher capacity but would otherwise forma a less stable SEI layer. Furthermore, multiple layered active materials may be arranged into a stack, in which one of these materials may operate as an ionic and/or electronic conductor.

Abstract: Provided are examples of electrochemically active electrode materials, electrodes using such materials, and methods of manufacturing such electrodes. Electrochemically active electrode materials may include a high surface area template containing a metal silicide and a layer of high capacity active material deposited over the template. The template may serve as a mechanical support for the active material and/or an electrical conductor between the active material and, for example, a substrate. Due to the high surface area of the template, even a thin layer of the active material can provide sufficient active material loading and corresponding battery capacity. As such, a thickness of the layer may be maintained below the fracture threshold of the active material used and preserve its structural integrity during battery cycling.

Abstract: A method of enhancing seismic images includes receiving a seismic gather. The seismic gather includes a plurality of seismic traces. A feature trace is generated based on the plurality of seismic traces in the seismic gather. For each of the plurality of seismic traces in the seismic gather, a correlation trace is generated based on that seismic trace and the feature trace, the correlation trace is modified using an activation function, and an enhanced trace is generated by multiplying that seismic trace with the modified correlation trace.

Abstract: The present invention relates to artificial neural networks, for example, deep neural networks. In particular, the present invention relates to a compression method considering load balance for deep neural networks and the device thereof. More specifically, the present invention relates to how to compress dense neural networks into sparse neural networks in an efficient way so as to improve utilization of resources of the hardware platform.

Abstract: A lithium ion battery electrode includes silicon nanowires used for insertion of lithium ions and including a conductivity enhancement, the nanowires growth-rooted to the conductive substrate.

Abstract: The technical disclosure relates to artificial neural network. In particular, the technical disclosure relates to how to implement efficient data access control in the neural network hardware acceleration system. Specifically, it proposes an overall design of a device that can process data receiving, bit-width transformation and data storing. By employing the technical disclosure, neural network hardware acceleration system can avoid the data access process becomes the bottleneck in neural network computation.

Abstract: The present disclosure proposes a fixed-point training method and apparatus based on dynamic fixed-point conversion scheme. More specifically, the present disclosure proposes a fixed-point training method for LSTM neural network. According to this method, during the fine-tuning process of the neural network, it uses fixed-point numbers to conduct forward calculation. Accordingly, within several training cycles, the network accuracy may returned to the desired accuracy level under floating point calculation.

Abstract: The present invention relates to artificial neural networks, for example, deep neural networks. In particular, the present invention relates to a compression method for deep neural networks with proper use of mask and the device thereof. More specifically, the present invention relates to how to compress dense neural networks into sparse neural networks while maintaining or even improving the accuracy of the neural networks after compression.

Abstract: The present technical disclosure relates to artificial neural networks, e.g., gated recurrent unit (GRU). In particular, the present technical disclosure relates to how to implement a hardware accelerator for compressed GRU based on an embedded FPGA. Specifically, it proposes an overall design processing method of matrix decoding, matrix-vector multiplication, vector accumulation and activation function. In another aspect, the present technical disclosure proposes an overall hardware design to implement and accelerate the above process.

Abstract: A lithium ion battery electrode includes silicon nanowires used for insertion of lithium ions and including a conductivity enhancement, the nanowires growth-rooted to the conductive substrate.

Abstract: Provided in the present disclosure is a method of pruning a convolutional neural network based on feature map variation. The present invention enables compression of an entire network by means of removing a portion of filters in a convolutional layer, and such process is called pruning. A main contribution of the present invention is determining a pruning rule for filters in a single convolutional layer according to a feature map variation condition, using the rule to analyze network sensitivity, and pruning the entire network according to the network sensitivity.

Abstract: A multi-iteration method for compressing a deep neural network into a sparse neural network without degrading the accuracy is disclosed herein. In an example, the method includes determining a respective initial compression ratio for each of a plurality of matrices characterizing the weights between the neurons of the neural network, compressing each of the plurality of matrices based on the respective initial compression ratio, so as to obtain a compressed neural network, and fine-tuning the compressed neural network.

Abstract: Provided herein are nanostructures for lithium ion battery electrodes and methods of fabrication. In some embodiments, a nanostructure template coated with a silicon coating is provided. The silicon coating may include a non-conformal, more porous layer and a conformal, denser layer on the non-conformal, more porous layer. In some embodiments, two different deposition processes, e.g., a PECVD layer to deposit the non-conformal layer and a thermal CVD process to deposit the conformal layer, are used. Anodes including the nanostructures have longer cycle lifetimes than anodes made using either a PECVD or thermal CVD method alone.

Abstract: Provided herein are nanostructures for lithium ion battery electrodes and methods of fabrication. In some embodiments, a nanostructure template coated with a silicon coating is provided. The silicon coating may include a non-conformal, more porous layer and a conformal, denser layer on the non-conformal, more porous layer. In some embodiments, two different deposition processes, e.g., a PECVD layer to deposit the non-conformal layer and a thermal CVD process to deposit the conformal layer, are used. Anodes including the nanostructures have longer cycle lifetimes than anodes made using either a PECVD or thermal CVD method alone.