Abstract: Provided herein are systems and methods to generate an inhalable vapor in an electronic vaporization device. The vaporization device may generate a vapor with one or more defined characteristics. In some cases, the vapor may have a predetermined aerosol number density and/or a predetermined average aerosol diameter. The vaporization device may generate a vapor from a vaporizable material. In some cases, the vaporizable material may be a liquid material housed in a cartridge. The vaporization device may comprise a rechargeable power storage device.

Abstract: In some implementations, a credit decision platform may receive a credit request from an applicant and obtain domestic historical data associated with the applicant from a credit bureau device. The credit decision platform may obtain access to an email account associated with the applicant based on determining that the domestic historical data associated with the applicant is insufficient to process the credit request. The credit decision platform may identify, using one or more machine learning models, a set of email messages included in the email account that are relevant to the credit request and may analyze content included in the set of email messages to generate non-domestic historical data associated with the applicant. The credit decision platform may generate a decision on the credit request based on an estimated creditworthiness of the applicant, which may be determined based on the non-domestic historical data.

Abstract: Client fingerprints can be used to detect and defend against malware and hacking into information systems more effectively than using IP addresses. A unique client fingerprint can be based on data found in the client's SSL client hello packet. SSL version, cipher suites, and other fields of the packet can be utilized, preferably utilizing individual field values in the order in which they appear in the packet. The ordered values are converted to decimal values, separated by delimiters, and concatenated to form an identifier string. The identifier string may be mapped, preferably by a hash function, to form the client fingerprint. The client fingerprint may be logged, and whitelists and blacklists may be formed using client fingerprints so formed.

Abstract: Client fingerprints can be used to detect and defend against malware and hacking into information systems more effectively than using IP addresses. A unique client fingerprint can be based on data found in the client's SSL client hello packet. SSL version, cipher suites, and other fields of the packet can be utilized, preferably utilizing individual field values in the order in which they appear in the packet. The ordered values are converted to decimal values, separated by delimiters, and concatenated to form an identifier string. The identifier string may be mapped, preferably by a hash function, to form the client fingerprint. The client fingerprint may be logged, and whitelists and blacklists may be formed using client fingerprints so formed.

Abstract: Client fingerprints can be used to detect and defend against malware and hacking into information systems more effectively than using IP addresses. A unique client fingerprint can be based on data found in the client's SSL client hello packet. SSL version, cipher suites, and other fields of the packet can be utilized, preferably utilizing individual field values in the order in which they appear in the packet. The ordered values are converted to decimal values, separated by delimiters, and concatenated to form an identifier string. The identifier string may be mapped, preferably by a hash function, to form the client fingerprint. The client fingerprint may be logged, and whitelists and blacklists may be formed using client fingerprints so formed.

Abstract: Client fingerprints can be used to detect and defend against malware and hacking into information systems more effectively than using IP addresses. A unique client fingerprint can be based on data found in the client's SSL client hello packet. SSL version, cipher suites, and other fields of the packet can be utilized, preferably utilizing individual field values in the order in which they appear in the packet. The ordered values are converted to decimal values, separated by delimiters, and concatenated to form an identifier string. The identifier string may be mapped, preferably by a hash function, to form the client fingerprint. The client fingerprint may be logged, and whitelists and blacklists may be formed using client fingerprints so formed.

Abstract: A processor can be associated with a memory for storing convolution data. A plurality of M filters from a corresponding plurality of M input channels to a selected one output channel can be provided, wherein each filter can be represented by a corresponding index, m. Each of the M filters can be partitioned into K respective filter partitions, wherein each respective filter partition can be represented by a corresponding index, k. A frequency-domain representation of each filter partition can be provided, wherein each frequency-domain representation of a filter partition comprises N frequency bins and a corresponding frequency-domain filter coefficient, wherein each respective frequency bin can be represented by a corresponding index, n. The memory can store such information in an arrangement suitable for the processor to concurrently receive sufficient information to concurrently convolve a frame of each input signal with the respective filters.

Abstract: An echo canceller can be arranged to receive an input signal and to receive a reference signal. The echo canceller can subtract a linear component of the reference signal from the input signal. A noise suppressor can suppress non-linear effects of the reference signal in the input signal in correspondence with a large number of selectable parameters. Such suppression can be provided on a frequency-by-frequency basis, with a unique set of tunable parameters selected for each frequency. A degree of suppression provided by the noise suppressor can correspond to an estimate of residual echo remaining after the one or more linear components of the reference signal have been subtracted from the input signal, to an estimated double-talk probability, and to an estimated signal-to-noise ratio of near-end speech in the input signal for each respective frequency. A speech recognizer can receive a processed input signal from the noise suppressor.

Abstract: A processor can be associated with a memory for storing convolution data. A plurality of M filters from a corresponding plurality of M input channels to a selected one output channel can be provided, wherein each filter can be represented by a corresponding index, m. Each of the M filters can be partitioned into K respective filter partitions, wherein each respective filter partition can be represented by a corresponding index, k. A frequency-domain representation of each filter partition can be provided, wherein each frequency-domain representation of a filter partition comprises N frequency bins and a corresponding frequency-domain filter coefficient, wherein each respective frequency bin can be represented by a corresponding index, n. The memory can store such information in an arrangement suitable for the processor to concurrently receive sufficient information to concurrently convolve a frame of each input signal with the respective filters.

Abstract: An echo canceller can be arranged to receive an input signal and to receive a reference signal. The echo canceller can subtract a linear component of the reference signal from the input signal. A noise suppressor can suppress non-linear effects of the reference signal in the input signal in correspondence with a large number of selectable parameters. Such suppression can be provided on a frequency-by-frequency basis, with a unique set of tunable parameters selected for each frequency. A degree of suppression provided by the noise suppressor can correspond to an estimate of residual echo remaining after the one or more linear components of the reference signal have been subtracted from the input signal, to an estimated double-talk probability, and to an estimated signal-to-noise ratio of near-end speech in the input signal for each respective frequency. A speech recognizer can receive a processed input signal from the noise suppressor.

Abstract: Systems and methods for achieving approximate convolution using partitioned truncated singular value decomposition filtering for each of monaural rendering and binaural rendering are disclosed herein.

Abstract: An audio display system includes a pointing device configured to address locations within an interaction field, a sound system adapted to communicate with the pointing device, and—an object mapping unit adapted to communicate with the sound system. The object mapping unit is configured to generate a map identifying locations within the interaction field that correspond to a representation of an object to be displayed such that the interaction field is segmented into an exterior region and an interior region of the representation of the object. The sound system is configured to provide an object-locating sound when the pointing device addresses a location in the exterior region so as to guide a user to further address the interaction field at least one of closer to or further away from the interior region of the object.

Abstract: A toothbrush has one or two part-spherical pockets formed in the brush surface. Balls or pellets of matching shape of dehydrated toothpaste are placed in the depressions, the brush is wetted and the pellets turn to a gel, ready for brushing. The pellets may be of various colors and flavors to entice children to brush their teeth and may be dispensed from a storage chamber carried in the tooth brush handle.