Abstract: A method of manufacturing a battery includes introducing a first material to the battery, providing an anode, a cathode and a separator of the battery; and assembling the anode, the separator and the cathode. The first material is configured and arranged to increase the internal impedance of the battery upon mechanical or thermal loading.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating document vector representations. One of the methods includes obtaining a new document; selecting a plurality of new document word sets; and determining a vector representation for the new document using a trained neural network system, wherein the trained neural network system comprises: a document embedding layer and a classifier, and wherein determining the vector representation for the new document using the trained neural network system comprises iteratively providing each of the plurality of new document word sets to the trained neural network system to determine the vector representation for the new document using gradient descent.

Abstract: A method includes configuring worker services to operate in a stateless manner and providing support services that enable the worker services to operate in the stateless manner. The support services include (i) a management service for providing notifications of server removal and addition, (ii) a state maintenance service for maintaining state information in a central location, and (iii) a load balancer service for distributing requests among worker services. The method includes altering a number of servers allocated to at least one worker service, responsive to a notification from the management service. A private protocol is used between the worker services and load balancer service (a) to send, from the worker services to the load balancer service, a respective pointer to the state information associated with the requests, and (b) to include the respective pointer in the requests when any of the requests are forwarded to any worker service.

Abstract: Disclosed are methods, compounds, and compositions for treating infection by an Apicomplexan parasite that include administering a compound that selectively inactivates ornithine aminotransferase of the Apicomplexan parasite. Specifically, the methods, compounds, compounds may be utilized for treating infection by Toxoplasma gondii and toxoplasmosis and for treating infection by Plasmodium falciparum and malaria. The compounds disclosed herein are observed to selectively inactivate Toxoplasma gondii ornithine aminotransferase (TgOAT) relative to human OAT and relative to human ?-aminobutyric aminotransferase (GABA-AT).

Abstract: A method for determining a placement for machine learning model operations across multiple hardware devices is described.

Abstract: Systems and methods are provided for improving the processing of heavy or challenged feeds in a refinery based on integrated use of deasphalting, coking, and hydroprocessing. An optional fluid catalytic cracking unit can be included in the integrated system to allow for further improvements. The improved processing can be facilitated based on a process configuration where the vacuum resid fractions and/or other difficult fractions are deasphalted to generate a deasphalted oil and a deasphalter residue or rock fraction. The deasphalted oil can be passed into a hydroprocessing unit for further processing. The rock fraction can be used as the feed to a coking unit. Although deasphalter residue or rock is typically a feed with a high content of micro carbon residue, a high lift deasphalting process can allow a portion of the micro carbon residue in the initial feed to remain with the deasphalted oil.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for processing sequential data. In one aspect, a computer-implemented method includes receiving a request to generate a system output for an input data sequence, the input data sequence including a plurality of tokens. One or more tokens may be designated as tokens to be skipped. When a token has not been designated as a token to be skipped, the token is processed using a recurrent neural network to update a current internal state of the recurrent neural network. The system output is generated from the final internal state of the recurrent neural network.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for determining neural network architectures. One of the methods includes generating, using a controller neural network, a batch of output sequences, each output sequence in the batch specifying a respective subset of a plurality of components of a large neural network that should be active during the processing of inputs by the large neural network; for each output sequence in the batch: determining a performance metric of the large neural network on the particular neural network task (i) in accordance with current values of the large network parameters and (ii) with only the subset of components specified by the output sequences active; and using the performance metrics for the output sequences in the batch to adjust the current values of the controller parameters of the controller neural network.

Abstract: A method of employing an eddy current sensor to perform an inspection of a tube of a steam generator involves accelerating and decelerating the eddy current sensor in a predetermined fashion that substantially reduces the likelihood of damage to the eddy current sensor. The reduction of probe stresses reduces radiological waste and reduces radiation exposure to workers involved in changing damaged probes The recording of an eddy current signal at each of a plurality of equally spaced apart locations along the tube permits the velocity of the eddy current sensor to be varied without compromising the validity of the data that has been recorded. The inspection system employs an encoder that outputs a series of signals as the probe is advanced incremental distances within the tube of the steam generator, and eddy current sensor signals are recorded responsive to at least some of the signals from the encoder.

Abstract: A method is provided of using a set of servers to provide deferential services that have a pre-negotiated time for notice to release the servers. The method includes defining a virtual checkpoint frame interval that is constrained to a duration of up to half of the pre-negotiated time for notice to release the servers. The method includes collecting packets and transactions occurring during the interval that are processed by a current server. The method includes, responsive to an end of the interval, (i) writing, to a shared state database, a state of processing of the packets and transactions occurring during the interval, and (ii) releasing the packets and transactions occurring during the interval. The method includes copying the packets and transactions occurring during the interval, and the state, from the current server to another server for subsequent processing, responsive to an indication of an instance loss on the current server.

Abstract: A system can be configured to perform tasks such as converting recorded speech to a sequence of phonemes that represent the speech, converting an input sequence of graphemes into a target sequence of phonemes, translating an input sequence of words in one language into a corresponding sequence of words in another language, or predicting a target sequence of words that follow an input sequence of words in a language (e.g., a language model). In a speech recognizer, the RNN system may be used to convert speech to a target sequence of phonemes in real-time so that a transcription of the speech can be generated and presented to a user, even before the user has completed uttering the entire speech input.

Abstract: A network function modification method, system, and computer program product, include terminating the connection-oriented session between a client and a server via at least two proxies, running a multipath connection-oriented session between the at least two proxies, if an insertion request is received, establishing a first multipath subflow with the new multipath subflow traversing the network function of the insertion request, and if a removal request is received, establishing a second multipath subflow with the new multipath subflow not traversing the network function of the removal request.

Abstract: A method for determining a final architecture for a neural network to perform a particular machine learning task is described.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media for performing machine learning tasks. One method includes receiving (i) a model input, and (ii) data identifying a first machine learning task to be performed on the model input to generate a first type of model output for the model input; augmenting the model input with an identifier for the first machine learning task to generate an augmented model input; and processing the augmented model input using a machine learning model, wherein the machine learning model has been trained on training data to perform a plurality of machine learning tasks including the first machine learning task, and wherein the machine learning model has been configured through training to process the augmented model input to generate a machine learning model output of the first type for the model input.

Abstract: A method for determining a placement for machine learning model operations across multiple hardware devices is described.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for processing sequential data. In one aspect, a computer-implemented method includes receiving a request to generate a system output for an input data sequence, the input data sequence including a plurality of tokens. One or more tokens may be designated as tokens to be skipped. When a token has not been designated as a token to be skipped, the token is processed using a recurrent neural network to update a current internal state of the recurrent neural network. The system output is generated from the final internal state of the recurrent neural network.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media for performing machine learning tasks. One method includes receiving (i) a model input, and (ii) data identifying a first machine learning task to be performed on the model input to generate a first type of model output for the model input; augmenting the model input with an identifier for the first machine learning task to generate an augmented model input; and processing the augmented model input using a machine learning model. An exemplary system applying implicit bridging for machine learning tasks, as described in this specification, trains a machine learning model to perform certain types of machine learning tasks without requiring explicit training data for the certain types of machine learning tasks to be used during training.

Abstract: Embodiments described herein relate to apparatus and coating methods to reduce chamber arcing, for example, in HDP-CVD, PECVD, PE-ALD and Etch chambers. The apparatus include a ring shaped gas distributor used for in-situ deposition of coating materials, and a process chamber including the same. The ring shaped gas distributor includes a ring shaped body having at least one gas entrance port disposed on a first side thereof and a plurality of gas distribution ports disposed on a first surface of the ring shaped body. The plurality of gas distribution ports are arranged in a plurality of evenly distributed rows. The plurality of gas distribution ports in a first row of the plurality of evenly distributed rows is adapted to direct gas at an exit angle different from an exit angle of the plurality of gas distribution ports in a second row of the plurality of evenly distributed rows.

Abstract: Disclosed are methods, compounds, and compositions for treating infection by an Apicomplexan parasite that include administering a compound that selectively inactivates ornithine aminotransferase of the Apicomplexan parasite. Specifically, the methods, compounds, compounds may be utilized for treating infection by Toxoplasma gondii and toxoplasmosis and for treating infection by Plasmodium falciparum and malaria. The compounds disclosed herein are observed to selectively inactivate Toxoplasma gondii ornithine aminotransferase (TgOAT) relative to human OAT and relative to human ?-aminobutyric aminotransferase (GABA-AT).

Abstract: Methods and systems for learning long-term dependencies in recurrent neural networks. In one aspect, a neural network system is configured to receive a respective input for each of a plurality of time steps and to generate a respective output for each time step, the neural network system comprising one or more recurrent neural network layers, wherein, for each of the time steps, each of the recurrent neural network layers is configured to receive a layer input for the time step; apply an input weight matrix to the layer input to generate a first output; apply a recurrent weight matrix to a hidden state of the recurrent neural network layer for the time step to generate a second output; combine the first and second outputs to generate a combined output; and apply a rectified linear unit activation function to the combined output to generate a layer output for the time step.