Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a neural network to perform any one or more of a variety of machine learning tasks. For example, the neural network can be configured as a generative neural network, e.g., an autoregressive generative neural network.

Abstract: The present invention provides synthetic nucleic acid sequences comprising 10-30 nucleotides of the J2L and B6R gene regions and/or the 3? non-coding region of the Monkeypox virus genome, and a synthetic nucleic acid sequence comprising 10-30 nucleotides of a nucleic acid sequence that is complementary to at least one of those regions. Also provided are compositions comprising the sequences, and uses of the sequences in diagnostic kits. The present invention further provides a primer and probe set for determining the presence or absence of Monkeypox virus in a biological sample, wherein the primer set comprises at least one of the synthetic nucleic acid sequences. Also provided are a composition comprising the primer and probe set, and use of the primer and probe set in a diagnostic kit. Finally, the present invention provides kits and methods for determining the presence or absence of Monkeypox virus in a biological sample.

Abstract: The invention disclosed herein relates to 4,5,6,7-tetrahydro-1H-pyrazolo[4,3-c]pyridinyl compounds and 4,5,6,7-tetrahydro-2H-pyrazolo[4,3-c]pyridinyl compounds of Formula (A), pharmaceutical compositions comprising such compounds and the use of such compounds in the treatment of autoimmune diseases.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a neural network to perform any one or more of a variety of machine learning tasks. For example, the neural network can be configured as a generative neural network, e.g., an autoregressive generative neural network.

Abstract: The present invention provides synthetic nucleic acid sequences comprising 10-30 nucleotides of the N1 and N2 gene regions and/or the 3? non-coding region of the SARS-associated coronavirus Cov-2 (SARS-CoV-2) genome, and a synthetic nucleic acid sequence comprising 10-30 nucleotides of a nucleic acid sequence that is complementary to at least one of those regions. Also provided are compositions comprising the sequences, and uses of the sequences in diagnostic kits. The present invention further provides a primer and probe set for determining the presence or absence of SARS-associated coronavirus Cov-2 in a biological sample, wherein the primer set comprises at least one of the synthetic nucleic acid sequences. Also provided are a composition comprising the primer and probe set, and use of the primer and probe set in a diagnostic kit. Finally, the present invention provides kits and methods for determining the presence or absence of SARS-associated coronavirus Cov-2 (SARS-CoV-2) in a biological sample.

Abstract: The present sweetener includes a scavenger system for removing hydrogen sulfide and/or mercaptan from a fluid gas stream and/or fluid liquid stream. The present sweetener comprises 1) 99.9 to 80 wt. % a scavenger system comprising 3 to 30% of at least one mixed acetal in at least one scavenger solvent and 2) 0.1 to 20 wt % of at least one oxidation inhibitor. The present sweetener reduced solids formation potential in the spent scavenger and/or increases performance.

Abstract: A conversation detector processes microphone signals and other sensor signals of a headphone to declare a conversation and configures a filter block to activate a transparency audio signal. It then declares an end to the conversation based on processing one or more of the microphone signals and the other sensor signals, and in response deactivates the transparency audio signal. The conversation detector monitors an idle duration in which an OVAD and a TVAD are both or simultaneously indicating no activity and declares the end to the conversation in response to the idle duration being longer than an idle threshold. Other aspects are also described and claimed.

Abstract: Overlapping data streams and sensor transitions is described. In accordance with the described techniques, a first data stream of first analyte measurements is received, at a computing device and during an overlap period, from a first analyte sensor worn by a user and a second data stream of second analyte measurements is received, at the computing device and during the overlap period, from a second analyte sensor worn by the user. The first data stream and the second data stream are received concurrently during the overlap period. A combined analyte measurement is generated based on the first analyte measurements and the second analyte measurements. In one or more implementations, the combined analyte measurement is generated as a weighted average of the first analyte measurements and the second analyte measurements. The combined analyte measurement is then output on a display of the computing device.

Abstract: Systems and methods for triggering a virtual certification number (VCN) generation for use at a source include receiving a VCN generation request from an external entity, the VCN generation request comprising an external request code, external risk signals, and one or more source data for the source, verifying a registration authentication of an account associated with the external request code by comparing the external request code to a database entry, identifying a certification mechanism reference identifier associated with the external request code based on verifying the registration authentication, generating a risk authentication based on a risk analysis conducted using the external risk signals and the external request code, identifying a source identifier based on the one or more source data, and generating the VCN based on the certification mechanism reference identifier and the source identifier.

Abstract: The embodiments disclosed herein utilized RNA targeting effectors to provide a robust CRISPR-based diagnostic with attomolar sensitivity. Embodiments disclosed herein can detect both DNA and RNA with comparable levels of sensitivity and can differentiate targets from non-targets based on single base pair differences. Moreover, the embodiments disclosed herein can be prepared in freeze-dried format for convenient distribution and point-of-care (POC) applications. Such embodiments are useful in multiple scenarios in human health including, for example, viral detection, bacterial strain typing, sensitive genotyping, and detection of disease-associated cell free DNA.

Abstract: Disclosed herein are related to a memory cell including one or more programmable resistors and a control transistor. In one aspect, a programmable resistor includes a gate structure and one or more source/drain structures for forming a transistor. A resistance of the programmable resistor may be set by applying a voltage to the gate structure, while the control transistor is enabled. Data stored by the programmable resistor can be read by sensing current through the programmable resistor, while the control transistor is disabled. In one aspect, the one or more programmable resistors and the control transistor are implemented by same type of components, allowing the memory cell to be formed in a compact manner through a simplified the fabrication process.

Abstract: A method includes receiving a text input including a sequence of words represented as an input encoder embedding. The input encoder embedding includes a plurality of tokens, with the plurality of tokens including a first set of grapheme tokens representing the text input as respective graphemes and a second set of phoneme tokens representing the text input as respective phonemes. The method also includes, for each respective phoneme token of the second set of phoneme tokens: identifying a respective word of the sequence of words corresponding to the respective phoneme token and determining a respective grapheme token representing the respective word of the sequence of words corresponding to the respective phoneme token. The method also includes generating an output encoder embedding based on a relationship between each respective phoneme token and the corresponding grapheme token determined to represent a same respective word as the respective phoneme token.

Abstract: Systems and methods for rapid diagnostics related to the use of combinations of CRISPR effector systems with optimized guide sequences, OSD probes, RNA probes and/or RNase H for detection of nucleic acid sequences, such as sequences from coronavirus, as well as multiplex lateral flow diagnostic devices and methods of use, are provided.

Abstract: Ionic superatomic materials that can be solution-processed into completely amorphous and homogeneous thin films are disclosed herein. The amorphous materials disclosed herein have tunable compositions and have electrical conductivities of up to 300 siemens per meter, thermal conductivities of 0.05 watt per meter per degree Kelvin, and optical transparencies of up to 92%. Application of these thin-films are also provided herein.

Abstract: A resistive memory device includes a bottom electrode, a top electrode and a resistance changing element. The top electrode is disposed above and spaced apart from the bottom electrode, and has a downward protrusion aligned with the bottom electrode. The resistance changing element covers side and bottom surfaces of the downward protrusion.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, synthesizing audio data from text data using duration prediction. One of the methods includes processing an input text sequence that includes a respective text element at each of multiple input time steps using a first neural network to generate a modified input sequence comprising, for each input time step, a representation of the corresponding text element in the input text sequence; processing the modified input sequence using a second neural network to generate, for each input time step, a predicted duration of the corresponding text element in the output audio sequence; upsampling the modified input sequence according to the predicted durations to generate an intermediate sequence comprising a respective intermediate element at each of a plurality of intermediate time steps; and generating an output audio sequence using the intermediate sequence.

Abstract: Provided are nanoparticles and methods of using and making thereof. The inventive nanoparticle comprises a) an inner core comprising a non-cellular material; and b) an outer surface comprising a cellular membrane derived from a cell or a membrane derived from a virus. Medicament delivery systems or pharmaceutical compositions comprising the inventive nanoparticles are also provided. Further provided are immunogenic compositions comprising the inventive nanoparticles, and methods of using the inventive immunogenic compositions for eliciting an immune response, and for treating or preventing diseases or condition, such as neoplasm or cancer, or disease or conditions associated with cell membrane inserting toxin. Vaccines comprising the immunogenic composition comprising the nanoparticles are also provided.

Abstract: The present disclosure relates to methods and systems that provide a framework for accelerating the development of large language models (LLM)s solutions. The present disclosure provides methods and systems that support a complete cycle for developing LLM solutions, testing the LLM solutions, deploying the LLM solutions, and providing feedback on the deployed LLM solutions.

Abstract: Examples relate to implementations of a neural light transport. A computing system may obtain data indicative of a plurality of UV texture maps and a geometry of an object. Each UV texture map depicts the object from a perspective of a plurality of perspectives. The computing system may train a neural network to learn a light transport function using the data. The light transport function may be a continuous function that specifies how light interacts with the object when the object is viewed from the plurality of perspectives. The computing system may generate an output UV texture map that depicts the object from a synthesized perspective based on an application of the light transport function by the trained neural network.