Abstract: System and methods for including a system mounted to a vehicle for identifying incidents of a roadway and transmitting the incidents to a server, the server located remotely from the system, the system comprising: a device having: a camera for obtaining digital images; at least one sensor including a location based sensor; a memory and processor for executing image processing instructions for processing the digital images for automated detection of the incidents, generating object data based on the processing, generating incident data including the object data and the images; and a network interface for sending the incident data over a communications network to the server during operation of the vehicle on the roadway. Also included are both interactive and autonomous possesses for implementing the device.

Abstract: Embodiments disclosed herein relate to user-centric security classifications of cryptographic token sets that represent a prediction of whether a token set is malicious. A user-centric security classification of a token set is generated according to user behaviors that characterize users involved with the token set, including users holding tokens of the token set and users creating tokens of the token set. A model is trained to recognize user behaviors of certain users whose involvement with the token set increase the likelihood that the token set is non-malicious and secure. Such user behaviors that the model is trained to recognize include high time-rank behaviors, or holding onto cryptographic tokens for extended lengths of time. Upon generation of a user-centric security classification for a token set, graphical displays of tokens or of the token set are updated to reflect the user-centric security classification.

Abstract: A system and method for detecting an attack path in a computing environment is presented. The method includes: detecting a forensic artifact in a computing environment, the forensic artifact including an identifier of a resource deployed in the computing environment; inspecting the resource for a cybersecurity object, the cybersecurity object indicating a cybersecurity issue; generating a representation of: the detected forensic artifact, the resource, and the cybersecurity object, in a security database, wherein the security database includes a representation of the computing environment; generating a potential lateral movement path between the resource and another resource; and generating a visualization based on the potential lateral movement, the forensic artifact, and the cybersecurity object.

Abstract: Techniques are provided to manage data on shutdown of a data storage system. For example, a method comprises initiating a process to shut down a data storage system which comprises storage devices that store data associated with one or more non-persistent logical storage resources of a virtual storage layer which is configured by the data storage system. In response to initiating the process to shut down the data storage system, the method comprises: storing configuration data associated with the virtual storage layer, the configuration data comprising unique identifiers associated with the one or more non-persistent logical storage resources; and performing a data backup process to persistently store a copy of the data associated with the one or more non-persistent logical storage resources to a backup storage system.

Abstract: Disclosed herein is an energy harvesting module, including an antenna having a planar radiator and configured to receive incoming electromagnetic radiation and generate an AC antenna signal; a rectifier circuit arranged in a plane parallel to and adjacent to the planar radiator and configured to rectify the AC antenna signal and generate a DC battery charging signal; and a battery configured to receive the DC battery charging signal.

Abstract: To provide for seamless audio, video, and contextual transitions in interactive media presentations, endpoints within the presentation are defined. The endpoints are disposed at different times within the presentation and form respective links between points in segments in the presentation. While the presentation is being played, a user interaction is received and an appropriate endpoint is selected based on the interaction. When the selected endpoint is reached, the presentation is seamlessly transitioned to the point in the segment linked to by the endpoint.

Abstract: A catheter is responsive to external and internal magnetic field generators for generating position data of the catheter position and pressure data to determine pressured exerted on a distal end of the catheter when engaged with tissue, with a reduced number of sensing coils and reduced number of sensing coil leads for minimizing lead breakage and failure. The catheter includes a distal section adapted for engagement with patient tissue, where the distal section has a proximal portion, a distal portion and a flexible joint with a resilient member adapted to allow axial displacement and angular deflection between the proximal and distal portions of the distal section. The catheter may have three or less sensing coils with three or less leads, each transmitting signals between a respective sensing coil and the signal processor.

Abstract: An intraoral scanner comprises a light source to emit light, a spatial pattern to output patterned light, a beam splitter, an optical system to focus the patterned light, and a hollow front tip comprising a mirror to redirect the patterned light out of a side exit of the intraoral scanner. The intraoral scanner further comprises an image sensor to receive returning patterned light that has reflected off of the teeth and been redirected to the image sensor by the beam splitter. The intraoral scanner further comprises a depth scanning module to axially translate one or more lenses of the optics system in an optical axis to change a focus setting of the optics system. The depth scanning module is configured to axially translate the one or more lenses by 0.1-5 mm to achieve a depth scanning range of 5-40 mm at a scan speed of about 5-50 scans per second.

Abstract: An apparatus for determining surface topography of a patient's teeth comprises a probe sized to be at least partially inserted into an intraoral cavity of the patient, a light source to output light; and a light focusing assembly. The light focusing assembly comprises a first lens, a second lens and a focus changing assembly comprising one or more additional lenses that shares an optical axis with the first lens and the second lens and being configured to focus the light to a plurality of external focal planes to illuminate the patient's teeth, wherein the focus changing assembly has a movement gain factor, and wherein as a result of the movement gain factor a change in separation between lenses of the focus changing assembly by a first distance results in a change in a focus setting by a second distance that is 2-10 times greater than the first distance.

Abstract: A guidewire is slidable through a percutaneous medical device. A distal end of the percutaneous medical device is moved in a proximal direction away from an anatomical site of a body of a subject. Simultaneously, a position of a distal end of the guidewire, with respect to the anatomical site, is maintained by moving a housing toward another housing that is coupled to the medical device. Other embodiments are also described.

Abstract: An embodiment hybrid powertrain for a vehicle includes a first input shaft configured to be interlocked with an engine, a second input shaft configured to be interlocked with a first motor and to be parallel to the first input shaft, a third input shaft configured to be interlocked with a second motor and to be parallel to the second input shaft, an output shaft mounted parallel to the third input shaft, a first selective mesh device configured to transmit power from the second input shaft to the output shaft at multiple different gear ratios, a second selective mesh device configured to transmit the power from the third input shaft to the output shaft at the multiple different gear ratios, and a third selective mesh device configured to transmit the power from the first input shaft to the second input shaft or the third input shaft.

Abstract: A rule training system and methods are provided that are configured to automatically generate machine learning (ML) rules for intelligent decision-making by a policy manager platform. The system includes a processor and a computer readable medium operably coupled thereto, the computer readable medium comprising a plurality of instructions stored in association therewith that are accessible to, and executable by, the processor, to perform rule training operations which include accessing rule training data, iteratively generating a plurality of decision rules based on the rule training data and a plurality of ML model training techniques, testing each of the plurality of decision rules, filtering the plurality of decision rules by corresponding performances, selecting a set of the plurality of decision rules based on alert metrics, evaluating the set of the plurality of decision rules, and generating a decision ruleset for the ML task.

Abstract: A system and method for detecting potential lateral movement in a cloud computing environment includes detecting a private encryption key and a certificate, each of which further include a hash value of a respective public key, wherein the certificate is stored on a first resource deployed in the cloud computing environment; generating in a security graph: a private key node, a certificate node, and a resource node connected to the certificate node, wherein the security graph is a representation of the cloud computing environment; generating a connection in the security graph between the private key node and the certificate node, in response to determining a match between the hash values of the public key of the private key and the public key of the certificate; and determining that the first resource node is potentially compromised, in response to receiving an indication that an element of the public key is compromised.

Abstract: A system and method for detecting lateral movement based on an exposed cryptographic network protocol (CNP) key in a cloud computing environment. The method includes: inspecting a first workload for a private CNP key, the private CNP key associated with a hash of a public CNP key; detecting in a security database a representation of the public CNP key; generating a lateral movement path, the lateral movement path including an identifier of a second workload, the second workload represented by a representation connected to the representation of the public CNP key.

Abstract: Methods, systems, and devices for error protection for managed memory devices are described. In some examples, a memory system may receive data units from a host device. The data units may include respective sets of parity bits, and the memory system may perform an error detection operation on the data units. A first controller of the memory system may generate a protocol unit using data (e.g., a subset of data) from the data units. The protocol unit may include a set of parity bits (e.g., a different set of parity bits), and a second controller of the memory system may perform an error detection operation on the protocol unit. The second controller of the memory system may generate a data storage unit using data (e.g., a subset of data) from the protocol unit, and may store the data unit and another set of parity bits to a memory device.

Abstract: A method and a system for simultaneous semantic mapping and investigation of a built environment are provided herein. The method may include: obtaining distance readings from a moving agent to a built environment; applying the distance readings to a semantic classifier thereby classifying a set of the distance readings into respective semantic built elements selected from a predefined list of two or more types of built elements; repeating the classifying of the distance readings until a connected set of built elements is generated, defining a built volume; detecting at least one opening in the built volume leading to a further built volume; repeating said obtaining, said applying and said classifying, until a connected set of built elements is generated, defining the further built volume; and generating a vectorial map semantically representing the built elements in each of the built volume and the further built volume, and the opening therebetween.

Abstract: The technology is generally directed to determining whether a consumer being presented with a digital component is a new and/or new qualifying consumer at the time the digital component is being selected. A machine learning model may be trained and used to predict whether the consumer is a new and/or new qualifying consumer. The prediction may be a probability representing the likelihood that the user is a new and/or new qualifying consumer for a given merchant. The probability may be used to dynamically adjust the merchant's bid at the time of auction to have the merchant's digital component selected. The probability may, in some examples, may be used to dynamically adjust the conversion values after the merchant's digital component is provided for output.

Abstract: A transducer apparatus for delivering tumor treating fields to a subject's body, the transducer apparatus including: an array of electrodes, the array configured to be positioned over the subject's body with a front face of the array facing the subject's body, the array including electrode elements; and an anisotropic material layer electrically coupled to the array of electrodes and located on a front side of the front face of the array, the anisotropic material layer including a front face and a back face, the back face facing the array of electrodes. The anisotropic material layer further includes a hole passing through the front face and the back face of the anisotropic material layer, wherein the electrode elements are positioned around the hole of the anisotropic material layer.

Abstract: There is provided a computer-implemented method of training a machine learning model for computing an estimate of a ventilation inhomogeneity parameter indicating a ventilation inhomogeneity state of a subject, comprising: creating a training dataset comprising a plurality of records, each record including a plurality of measurements of a single breath maneuver of a respective subject measured by at least one sensor including at least one CO2 sensor and at least one pressure sensor, labelled with a ground truth label of the ventilation inhomogeneity parameter indicating the ventilation inhomogeneity state, and training a machine learning model on the training dataset for generating an outcome of an estimate of a target ventilation inhomogeneity parameter for a target subject in response to an input of a target plurality of measurements of a single breath maneuver of the subject sensed by the at least one sensor.

Abstract: Systems and methods include at least one processor performing simulate a virtual training experience operations comprising generating a simulated exercise environment, presenting a first avatar and second in the simulated exercise environment, receiving from at least one first and second sensors associated with a first and second piece of exercise equipment. In response to the first and second signals causing the first and second avatar to simulate in the simulated exercise environment. The operation further comprises enabling the participants to view physical exertion and enabling the first participant and the second participant to communicate with each other.