Abstract: Methods and systems are presented for providing multi-tiered cache system that works with an artificial intelligence (AI)-based conversation system for facilitating a conversation with users and processing transactions for the users. The multi-tiered cache system includes multiple tiers of cache modules that use different structures for caching and/or querying data. As a new utterance is received, the cache system uses each of the cache modules in sequence to determine whether a cache hit occurs. If a cache miss occurs at a first cache module, the cache system determines if a cache hit occurs at a second cache module. When a response is obtained from one of the cache modules and/or the AI model, the cache system updates the cache modules using the response.

Abstract: Methods and systems are provided for sample preparation techniques and sequencing of macromolecular constituents of cells and other biological materials.

Abstract: Methods and apparatuses for performing automated detection of lung slide using a computing device (e.g., an ultrasound system, etc.) are disclosed. In some embodiments, the techniques determine lung sliding using one or more neural networks. In some embodiments, the neural networks are part of a process that determines probabilities of the lung sliding at one or more M-lines. In some embodiments, the techniques display one or more probabilities of lung sliding in a B-mode ultrasound image.

Abstract: A method includes receiving a machine learning (ML) network model in high-level code; generating an internal representation (IR), the IR is mapped to components in a multi-processing tile device; determining whether a first processing tile with a first on-chip memory (OCM) has a same dimension for an input/output tensor data as a second processing tile with a second OCM performing a same primitive function based on the IR; allocating a same memory address range within the first and the second OCM for the same primitive function if the first processing tile has the same dimension for the input/output tensor data as the second processing tile for the same primitive function; linking the memory address range of the first OCM to the memory address range of the second OCM to form a grouped memory space within the first and the second OCM respectively; and compiling low-level instructions based on the linking.

Abstract: Techniques for controlling remote antenna systems. An example method of receiving radio frequency signals with a remote antenna module includes providing a first signal to a remote receiver on a conductor, receiving a control signal from the remote receiver on the conductor, wherein the control signal is a bias voltage on the conductor, and providing a second signal on the conductor in response to receiving the control signal.

Abstract: An insertion marker mechanism may be used to generate and evaluate insertion markers in media content. The system may place candidate markers at silent pauses and/or anomalies such as changes in pitch/timbre of an audio signal, and/or at points where a video has a blank screen. In response to a request for the media content, the system may place secondary content at a subset of the candidate markers. The system may select different insertion markers in response to different playback requests of the content. Based on feedback such as user engagement with the secondary content and/or drop rate, the system may determine which insertion markers correlate with better engagement and/or retention. Based on the feedback, the system may prioritize content insertion at better performing markers, while continuing to insert a smaller proportion of secondary content randomly at lower performing markers to monitor for changes in user behavior over time.

Abstract: A system module configured to be installed into and removed from a separate fluid sample processing system can include an aspiration submodule, a pneumatic submodule, and a control submodule. The aspiration submodule can be configured to receive a chip module having assay devices and to provide aspiration for the chip module. The pneumatic submodule can be coupled to the aspiration submodule and can include passages configured to deliver vacuum to and receive fluids from the chip module and valves coupled to the passages. The control submodule can be coupled to the pneumatic submodule and can include a controller configured to operate the valves. The aspiration submodule can include a lid that allows the chip module to be inserted and removed and can be configured to perform operations on the chip module when it is within the aspiration submodule and the lid is closed.

Abstract: A morphing interface system updates, that is, morphs a display on a client device as a user provides portions of input and additionally provides suggested selections for a user based on the received user input. The system receives a first portion of user input and generates intent suggestions for the user based on the user input. The intent suggestions, which represent predicted likely intents of the user, are provided to the user for selection. The user may select an intent suggestion or may provide additional user input. Based on the user response, the system determines whether an intent is selected or if additional information is needed. When an intent is selected, the interface morphs into an interface to provide predicted entity suggestions for the user to select entity values as inputs to execution of the intent.

Abstract: This disclosure provides methods for preparing a sequencing library including the steps of providing a template nucleic acid sequence, dNTPs, dUTP, a primer, a polymerase, a dUTP excising enzyme, and a plurality of beads including oligonucleotide adapter sequence segments; amplifying the template nucleic acid with the polymerase, dNTPs, dUTP and random hexamer to provide a complementary nucleic acid sequence including occasional dUTPs; and excising the incorporated dUTPs with the dUTP excising enzyme to provide nicks in the complementary nucleic acid sequence to provide a sequencing library.

Abstract: A chip module configured for use with a fluid sample processing system can include one or more assay devices arranged into one or more rows. The assay device(s) can include one or more wells configured to hold fluid therein and one or more aspiration channels connected to the well(s). The aspiration channel(s) can be configured to aspirate fluid from the bottoms or the sides of the well(s). The assay device(s) can be arranged within a frame in the chip module, which can be removable from the fluid sample processing system. This chip module can also include one or more trenches beneath the aspiration channel(s). the trench(es) being configured to facilitate the aspiration of fluid from multiple wells. A hydrophobic material can be included in the aspiration channel(s) and/or trench(es) to hold the fluid therein without the fluid passing through the aspiration channel(s) during analytic measurements on the fluid.

Abstract: A fuel cell system and a method for operating a fuel cell system in connection with start-up of the fuel cell system is described. The fuel cell system comprises an anode volume and a cathode volume, a fluid flow assembly comprising a plurality of fluid conduits and a fluid flow control device, wherein a recirculation circuit is formed when a fluid connection between the anode volume and the cathode volume is enabled a hydrogen gas supply device, and a recirculation device. The method comprising controlling the hydrogen gas supply device to supply the hydrogen gas, regulating the fluid flow control device such that the anode volume is fluidly connected to the cathode volume, controlling the recirculation device to recirculate the gas mixture in the fluid recirculation circuit such that the supplied hydrogen gas undergoes reaction with the residual oxygen during the recirculation.

Abstract: A method of quantum error correction may include obtaining a logical qubit including a logical state. The logical qubit may be encoded using a quantum code to determine states for a plurality of physical qubits, the quantum code including a first code generated based on a first set of generators and a second code generated based on a second set of generators, the first set of generators and the second set of generators including different cardinality. The method may further include adjusting physical states of the plurality of physical qubits in quantum hardware based on the determined states. One or more computations may be performed using the quantum hardware and the physical states of the plurality of physical qubits may be decoded using the quantum code to determine the logical state.

Abstract: The embodiments herein disclose a system and method for recycling light in home/store/commercial buildings and streetlight fixtures. In an embodiment, the principle of recycling (or harvesting) light is mainly by designing a special recycling light fixture or by retrofitting existing light fixtures. The recycling light fixture has a lining plurality of photovoltaic cells which captures the light emitted by the plurality of light emitting devices in the recycling light fixture itself. The recycling light fixture includes the plurality of light emitting devices comprising light bulb/LED that emits light in all directions. The recycling light fixture includes a structure that captures the light emitted towards the fixture (the ceiling), generates electricity using the plurality of photovoltaic cell and feeds it back into the same recycling light fixture itself, thereby recycling the unused light and reducing the power consumption from the power grid.

Abstract: A system includes a training server that in a training phase causes a custom neural network model for foliage detection to learn features related to foliage from a modified training dataset and further learn a color variation range of a predefined color associated with the features. A combination of the features related to foliage and the color variation range of the predefined color is utilized to obtain a trained custom neural network model that is deployed in a camera apparatus. The camera apparatus in the operational phase captures a new color image of an agricultural field, operates the trained custom neural network model to detect one or more foliage regions in the new color image in a real time or near real time, and operates at least one of a plurality of agricultural implements, based on the detected one or more foliage regions in the new color image.

Abstract: A camera apparatus acquires an input color image of an agricultural field and generates a first binary mask image from the input color image. The first binary mask image includes one or more foliage masks indicative of a presence of one or more foliage regions in a field-of-view with a first accuracy level. One or more morphology operations are applied to remove noise in the first binary mask image and one or more image regions that meet a defined criteria to be considered as foliage are identified. An output binary mask image of foliage mask is generated, which is set as a ground truth to train a custom neural network model in a training phase. The trained custom neural network model is operated to detect one or more other foliage regions in a new color image captured by the camera apparatus in a real time or near real time.

Abstract: A camera apparatus including a central processing unit configured to capture raw image sensor data of a field-of-view of an agricultural field, concurrently execute a plurality of different image transformation operations in a single pass on the captured raw image sensor data to obtain a processed image output, based on an one-time read of pixel values of the captured raw image sensor data and push the processed image output in a shared memory accessible to a plurality of application nodes in the camera apparatus. The camera apparatus includes a graphical processing unit configured to cause the plurality of application nodes to concurrently access the processed image output from the shared memory to detect one or more foliage regions or one or more crop plants in the processed image output.

Abstract: An artificial neural network (ANN) receives a sequence of input data tokens. The ANN has a hidden state memory of size N and a set of weights having a size that scales on or below an order of N. The ANN processes each token in the sequence of input data tokens by performing, based on each token, a logical operation on the hidden state memory to generate an updated hidden state memory. Processing the sequence of input data tokens comprises performing a number of compute operations that scales on or below an order of N{circumflex over (?)}1.5. The ANN obtains, from the updated hidden state memory after processing each token, a final hidden state memory. The ANN generates an inference result based on the final hidden state memory.

Abstract: A training server acquires an input color image of an agricultural field, detects one or more foliage regions in the input color image, and generates output binary mask images of foliage mask indicating one or more foliage regions and a soil region. The training server further generates an augmented color image by combining pixels of the soil region adjusted for soil hue, with pixels of the one or more foliage regions unaltered from the acquired input color image in the RGB color space. The training server then utilizes the generated augmented color image in training of a crop detection (CD) neural network model.

Abstract: Specific binding molecules, including T cell receptors (TCRs), which bind the HLA-A*02 restricted peptide SLYNTVATL (SEQ ID NO: 1) derived from the HIV Gag gene product, p17 are presented. TCRs of the present invention comprise non-natural mutations within the alpha and/or beta variable domains relative to a native TCR. The specific binding molecules of the invention have improved stability and/or yield and yet unexpectedly retain the advantageous properties of the specific binding molecules from which they are derived. Such specific binding molecules are particularly useful in the development of soluble immunotherapeutic reagents for the treatment of HIV infected individuals.

Abstract: A vehicle fuel cell system assembly comprising: a first fuel cell system comprising a first sensor and a first control unit adapted to control the first fuel cell system based on a value of the first sensor, a second fuel cell system comprising a second sensor and a second control unit adapted to control the second fuel cell system based on a value of the second sensor, and a common supply of coolant, air or fuel to the first and second fuel cell systems, wherein the vehicle fuel cell system assembly is configured to perform a sensor plausibility check of the first sensor and the second sensor and use a value of a sensor that has passed the plausibility check instead of a value of a sensor that has not passed the plausibility check.