Abstract: Methods and apparatus for tuning a photonics-based component. An opto-electrical detector is configured to output an electrical signal based on a measurement of light intensity of the photonics-based component, the light intensity being proportional to an amount of detuning of the photonics-based component. Analog-to-digital conversion (ADC) circuitry is configured to output a digital signal based on the electrical signal output from the opto-electrical detector. Feedback control circuitry is configured to tune the photonics-based component based, at least in part, on the digital signal output from the ADC circuitry.

Abstract: The present invention is a DNA expression vector comprising: a toxP: a mutant toxO that blocks Fe-mediated regulation of gene expression; and a DNA sequence encoding a protein, wherein the toxP and the mutant toxO regulate expression of the DNA segment encoding the protein. It is preferred that DNA expression vectors of the present invention include DNA sequences encoding a signal peptide so that a protein expressed is attached to the signal peptide prior to processing. Novel proteins are produced off of the DNA expression vector of the present invention.

Abstract: Systems and methods include obtaining Uniform Resource Locator (URL) transactions that were either undetected by a machine learning model or mischaracterized by the machine learning model; filtering the URL transactions based on any of size and transaction count; utilizing one or more techniques to determine words that provide an explanation for a category of a plurality of categories of the filtered URL transactions; and utilizing a label for the filtered URL transactions and the determined words for each as training data to update the machine learning model.

Abstract: Systems and methods include determining a plurality of features associated with executable files, wherein the plurality of features are each based on static properties in predefined structure of the executable files; obtaining training data that includes samples of benign executable files and malicious executable files; extracting the plurality of features from the training data; and utilizing the extracted plurality of features to train a machine learning model to detect malicious executable files.

Abstract: Systems and methods include, based on monitoring of content including Office documents, determining distribution of malicious Office documents between documents having malicious macros and documents having malicious embedded objects; determining features for the documents having malicious macros and for the documents having malicious embedded objects; selecting training data for a machine learning model based on the distribution and the features; and training the machine learning model with the selected training data.

Abstract: Systems and methods include obtaining data from Uniform Resource Locator (URL) transactions monitored by a cloud-based system; labeling the data for the URL transactions with a category of a plurality of categories that describe the content of a page associated with the URL; performing preprocessing of raw Hypertext Markup Language (HTML) files for the URL transactions; extracting features from the preprocessed raw HTML files; and creating a machine learning model based on the features, wherein the machine learning model is configured to score content associated with an unknown URL to determine a category of the plurality of categories.

Abstract: The present invention is a DNA expression vector comprising: a toxP; a mutant toxO that blocks Fe-mediated regulation of gene expression; and a DNA sequence encoding a protein, wherein the toxP and the mutant toxO regulate expression of the DNA segment encoding the protein. It is preferred that DNA expression vectors of the present invention include DNA sequences encoding a signal peptide so that a protein expressed is attached to the signal peptide prior to processing. Novel proteins are produced off of the DNA expression vector of the present invention.

Abstract: Systems and methods include receiving a domain for a determination of a likelihood the domain is malicious or benign; obtaining data associated with the domain including log data from a cloud-based system that performs monitoring of a plurality of users; analyzing the domain with a plurality of components to assess the likelihood, wherein at least one of the plurality of components is a trained machine learning model; and combining results of the plurality of components to predict the likelihood the domain is malicious or benign.

Abstract: Photonic processors are described. The photonic processors described herein are configured to perform matrix-matrix (e.g., matrix-vector) multiplication. Some embodiments relate to photonic processors arranged according to a dual-rail architecture, in which numeric values are encoded in the difference between a pair optical signals (e.g., in the difference between the powers of the optical signals). Relative to other architectures, these photonic processors exhibit increased immunity to noise. Some embodiments relate to photonic processors including modulatable detector-based multipliers. Modulatable detectors are detectors designed so that the photocurrent can be modulated according to an electrical control signal. Photonic processors designed using modulatable detector-based multipliers are significantly more compact than other types of photonic processors.

Abstract: Photonic processors are described. The photonic processors described herein are configured to perform matrix-matrix (e.g., matrix-vector) multiplication. Some embodiments relate to photonic processors arranged according to a dual-rail architecture, in which numeric values are encoded in the difference between a pair optical signals (e.g., in the difference between the powers of the optical signals). Relative to other architectures, these photonic processors exhibit increased immunity to noise. Some embodiments relate to photonic processors including modulatable detector-based multipliers. Modulatable detectors are detectors designed so that the photocurrent can be modulated according to an electrical control signal. Photonic processors designed using modulatable detector-based multipliers are significantly more compact than other types of photonic processors.

Abstract: Semantic analysis to resolve ambiguous user input data with respect to a request for data includes identifying tokens based on the text string, identifying a tables in a database, wherein a token indicates a column from a table and a token indicates a column from another table, identifying candidate join paths for joining tables, obtaining respective candidate results using the candidate join paths, outputting combined candidate results including values from the respective candidate results, obtaining second user input data indicating a selected value, identifying the request for data as unambiguous and identifying a selected join path based on the selected value, and, in response to identifying the request for data as unambiguous, outputting data responsive to the request for data using the selected join path.

Abstract: Embodiments of the present invention are directed to techniques for optimizing an execution mode used to process a request. A self-training storage system can determine one or more proposed execution modes based on a real-time evaluation of various factors, including a history of execution modes used to process historical requests. This history can serve as training data for a machine learning model that can predict an execution mode based on one or more request parameters. This predicted execution mode can be taken as one of a number of proposed execution modes that can be combined using a weightage system to automatically classify an ultimate execution mode used to process the request. Associated weights for combining proposed execution modes can be determined by training a machine learning model using a training set constructed based on a survey of user satisfaction with a determined execution mode.

Abstract: Photonic processors are described. The photonic processors described herein are configured to perform matrix-matrix (e.g., matrix-vector) multiplication. Some embodiments relate to photonic processors arranged according to a dual-rail architecture, in which numeric values are encoded in the difference between a pair optical signals (e.g., in the difference between the powers of the optical signals). Relative to other architectures, these photonic processors exhibit increased immunity to noise. Some embodiments relate to photonic processors including modulatable detector-based multipliers. Modulatable detectors are detectors designed so that the photocurrent can be modulated according to an electrical control signal. Photonic processors designed using modulatable detector-based multipliers are significantly more compact than other types of photonic processors.

Abstract: The techniques described herein relate to methods and apparatus for interferometric modulation. An apparatus includes an interferometric device comprising a first optical path and a second optical path, and at least one Franz-Keldysh (FK) modulator disposed in either the first optical path or the second optical path of the interferometric device. The interferometric device receives input light, wherein a first portion of the input light travels along the first optical path of the interferometric device, and a second portion of the input light travels along the second optical path of the interferometric device. The FK modulator modulates an intensity of either the first portion of the input light or the second portion of the input light.

Abstract: Photonic processors are described. The photonic processors described herein are configured to perform matrix-matrix (e.g., matrix-vector) multiplication. Some embodiments relate to photonic processors arranged according to a dual-rail architecture, in which numeric values are encoded in the difference between a pair optical signals (e.g., in the difference between the powers of the optical signals). Relative to other architectures, these photonic processors exhibit increased immunity to noise. Some embodiments relate to photonic processors including modulatable detector-based multipliers. Modulatable detectors are detectors designed so that the photocurrent can be modulated according to an electrical control signal. Photonic processors designed using modulatable detector-based multipliers are significantly more compact than other types of photonic processors.

Abstract: Photonic processors are described. The photonic processors described herein are configured to perform matrix-matrix (e.g., matrix-vector) multiplication. Some embodiments relate to photonic processors arranged according to a dual-rail architecture, in which numeric values are encoded in the difference between a pair optical signals (e.g., in the difference between the powers of the optical signals). Relative to other architectures, these photonic processors exhibit increased immunity to noise. Some embodiments relate to photonic processors including modulatable detector-based multipliers. Modulatable detectors are detectors designed so that the photocurrent can be modulated according to an electrical control signal. Photonic processors designed using modulatable detector-based multipliers are significantly more compact than other types of photonic processors.

Abstract: Token based dynamic data indexing with integrated security includes generating attribute tokens based on a database, each attribute token including an ordered sequence of symbols, generating an index indexing the attribute tokens, such that the index includes a root node, a first branch depending from the root node representing a first symbol from a first attribute token, and a security bitmask for the first attribute token, such that a security bitmask for the first branch at the root node is a hierarchical logical disjunction based on the security bitmask for the first attribute token, such that generating a response receiving an information retrieval request indicating a search symbol and a search context, is based on a determination that a horizontal logical disjunction of a vertical logical conjunction of the security bitmask for the first branch and a security bitmask for the information retrieval request indicates authorization.

Abstract: The invention relates to combinations of peptides derived from a portion of an amino sequence of a grass pollen allergen, e.g. the allergens Phl p 1, Phl p 2, Phl p 3, Phl p 4 and/or Phl p 5, or a peptide variant thereof. Such peptides comprise at least one T cell epitope mid a high number of patients in a worldwide population will have HLA Class II alleles with the potential to bind the peptides of the peptide combinations. The invention also relates to the use of such peptide combinations in relieving an immune response caused by grass pollen species.

Abstract: The present invention is a DNA expression vector comprising: a toxP; a mutant toxO that blocks Fe-mediated regulation of gene expression; and a DNA sequence encoding a protein, wherein the toxP and the mutant toxO regulate expression of the DNA segment encoding the protein. It is preferred that DNA expression vectors of the present invention include DNA sequences encoding a signal peptide so that a protein expressed is attached to the signal peptide prior to processing. Novel proteins are produced off of the DNA expression vector of the present invention.

Abstract: Methods and apparatus for tuning a photonics-based component. An opto-electrical detector is configured to output an electrical signal based on a measurement of light intensity of the photonics-based component, the light intensity being proportional to an amount of detuning of the photonics-based component. Analog-to-digital conversion (ADC) circuitry is configured to output a digital signal based on the electrical signal output from the opto-electrical detector. Feedback control circuitry is configured to tune the photonics-based component based, at least in part, on the digital signal output from the ADC circuitry.