Abstract: To accelerate the data processing of a processor, a coprocessor subsystem can be used to offload data processing operations from the processor. The coprocessor subsystem can include a coprocessor and an accelerator. The accelerator can offload operations such as data formatting operations from the coprocessor to improve the performance of the coprocessor. The coprocessor subsystem can be used to accelerate database operations.

Abstract: A trekking pole or the like includes a grip top fixed at the top end. A user's glove supports a puck. The puck is placed on a release button then slid into a locking channel on the grip top, from the release button into the locking channel. Thereafter, the release button automatically locks the puck in the channel. When the release button is pressed down, the puck can be removed. A magnet on the release button can assist in locating the puck properly on the release button and also in withdrawing the puck from the locking channel.

Abstract: Embodiments of the present invention relate generally to non-invasive methods and tests that measure biomarkers (e.g., tumor antigens) and collect clinical parameters from patients, and computer-implemented machine learning methods, apparatuses, systems, and computer-readable media for assessing a likelihood that a patient has a disease, relative to a patient population or a cohort population. In one embodiment, a classifier is generated using a machine learning system based on training data from retrospective data and subset of inputs (e.g. at least two biomarkers and at least one clinical parameter), wherein each input has an associated weight and the classifier meets a predetermined Receiver Operator Characteristic (ROC) statistic, specifying a sensitivity and a specificity, for correct classification of patients.

Abstract: Various catheters are provided herein for recording, mapping, and/or ablating target tissue to reduce or eliminate unwanted electrical impulses. In one embodiment, a catheter can have a handle, an elongate body, and an end effector. The end effector has expanded and contracted configurations and can rotate about the elongate body. A plurality of electrodes can also be disposed on the end effector for recording, mapping, and/or ablating target tissue surrounding the catheter. The handle can guide the end effector through transitioning between the configurations and rotating about the elongate body.

Abstract: Approaches presented herein can provide for the performance of specific types of tasks using a large model, without a need to retrain the model. Custom endpoints can be trained for specific types of tasks, as may be indicated by the specification of one or more guidance mechanisms. A guidance mechanism can be added to or used along with a request to guide the model in performing a type of task with respect to a string of text. An endpoint receiving such a request can perform any marshalling needed to get the request in a format required by the model, and can add the guidance mechanisms to the request by, for example, prepending one or more text strings (or text prefixes) to a text-formatted request. A model receiving this string can process the text according to the guidance mechanisms. Such an approach can allow for a variety of tasks to be performed by a single model.

Abstract: An aerial vehicle including a central frame electro-mechanically connected to a central frame inertial measurement unit (IMU) adapted to output central frame inertial measurements to one or more controllers. A motor frame includes a central rod mounted in perpendicular to a longitudinal axis of the central frame, and a pair of lateral arms each fixated to a different end of the central rod in parallel to the longitudinal axis of the central frame. A motor frame IMU adapted to output motor frame inertial measurements of the motor frame to the flight controller. The central frame is further electro-mechanically connected to the one or more controllers adapted to calculate control signals for rotating the central frame according to the central frame inertial measurements and the central rod inertial measurements. A stabilizing motor adapted to rotate the central frame according to the control signals.

Abstract: A method for steering assistance, the method may include obtaining by vehicle camera, an image of an environment of the vehicle; feeding the image to a machine learning process; outputting, by the machine learning process, road line metadata that comprises a line offset value, a line angle value, a line curvature value and a line curvature rate; and preforming a steering related response to the road line metadata.

Abstract: Methods, computer systems, and apparatus, including computer programs encoded on computer storage media, for predicting an exchange-correlation energy of an atomic system. The system obtains respective electron-orbital features of the atomic system at each of a plurality of grid points; generates, for each of the plurality of grid points, a respective input feature vector for the electron-orbital features at the grid point; and processes the respective input feature vectors for the plurality of grid points using a neural network to generate a predicted exchange-correlation energy of the atomic system.

Abstract: A system and a method for performing correction of systematic error for electronically steered antennas using on-chip programming. A plurality of channels includes a first channel. Each channel is coupled to a respective antenna element and includes a trim control circuit and a phase control circuit. The first channel is coupled to a first respective antenna element. An array calibration memory stores a plurality of phase offsets including a first phase offset. Each phase offset includes an array level calibration phase offset corresponding to a respective channel. The first phase offset corresponds to the first channel. At least one of the trim control circuit and the phase control circuit of the first channel are configured to modify phase of a first signal provided to and/or received from the first respective antenna element. The phase of the first signal is modified based at least in part on the first phase offset.

Abstract: Systems, methods, and machine-readable media for predicting interruptions to the use of spare cloud resources and rebalancing based on those predictions are disclosed. A computing platform collects data for customers over time. The computing platform runs a machine learning algorithm on the historical data to generate a prediction classifier. The prediction classifier relates to a time window for prediction into the future, on the order of minutes or hours. The prediction classifier is run on monitored data from ongoing activity with a cloud provider to generate a risk score. Each risk score may identify an amount of risk that a spare cloud resource related to new resource metrics data will be interrupted within the future time frame corresponding to that prediction classifier. If predicted to be interrupted, the customer may be assisted in rebalancing to other resources. As a result, interruptions can be predicted hours into the future.

Abstract: Techniques are described for maintaining in-order execution when a dependency exists between write transactions. In some embodiments, a write re-order buffer (WROB) is configured to assign the same group ID to an incoming write transaction upon determining that the incoming write transaction is dependent on a pending write transaction. The WROB forwards the incoming write transaction to an interconnect fabric for routing to a completer device. The interconnect fabric enforces in-order execution when write transactions share the same group ID. The WROB can maintain a transaction log of pending write transactions and also track the statuses of responses for such transactions. Transaction responses can include responses sent from a completer to confirm that a transaction has actually been completed. Additionally, the WROB can send a response indicating completion back to the requester of the transaction. In some embodiments, the WROB is configured to send an early response to the requester.

Abstract: Systems and methods provide for training a language model on the relationships present in a structural database. Information within a structural data is processed and converted into plain text such that the relationships within the database, such as hierarchical relationships, relations, etc. are maintained and represented in a plain text format. This information may be used as training data for a language model to provide pre-training for one or more domains. The language model may then be leveraged with natural language searching in order to identify results within a search domain response to an input query.

Abstract: Systems and methods provide a pipeline to develop and deploy machine learning models by using query/response pairs from a different machine learning model as training data. A set of model parameters are established and a trained machine learning models provides responses to input queries to develop query/response pairs. These query/response pairs may be used to train a different machine learning model. That model can be tested against the original model to determine whether they are in agreement, and when the models are in agreement the different machine learning model can be deployed as the primary model for the system.

Abstract: Improved mapping and ablation procedures and corresponding devices are provided. A variety of methods and apparatuses can be used for the treatment of cardiac arrhythmias by identifying the location of an arrhythmia source and ablating that source. The methods and apparatuses can provide an improved means of electrical mapping of the heart to identify the location of the arrhythmia source and advancing an ablation electrode to that location so that it may be ablated.

Abstract: Disclosed herein are classifier models, computer implemented systems, machine learning systems and methods thereof for classifying asymptomatic patients into a risk category for having or developing cancer and/or classifying a patient with an increased risk of having or developing cancer into an organ system-based malignancy class membership and/or into a specific cancer class membership and/or a category with a time range for follow up testing or reclassification with newly measured input factors.

Abstract: Improved mapping and ablation procedures and corresponding devices are provided. A variety of methods and apparatuses can be used for the treatment of cardiac arrhythmias by identifying the location of an arrhythmia source and ablating that source. The methods and apparatuses can provide an improved means of electrical mapping of the heart to identify the location of the arrhythmia source and advancing an ablation electrode to that location so that it may be ablated.

Abstract: The disclosure relates to a method including receiving a first set of images, the images being scans from one or more medical instruments; creating a patient-specific image reconstructed model based on the first set of images; defining mapping points on the reconstructed model; receiving a second set of images; defining patient recognition mapping points on the second set of images; overlaying the reconstructed model and the second set of images based on the mapping points and the recognition mapping points; and displaying the overlaid model aligned with the second set of images.

Abstract: Embodiments of the present invention relate generally to non-invasive methods and tests that measure biomarkers (e.g., tumor antigens) and collect clinical parameters from patients, and computer-implemented machine learning methods, apparatuses, systems, and computer-readable media for assessing a likelihood that a patient has a disease, relative to a patient population or a cohort population. In one embodiment, a classifier is generated using a machine learning system based on training data from retrospective data and subset of inputs (e.g. at least two biomarkers and at least one clinical parameter), wherein each input has an associated weight and the classifier meets a predetermined Receiver Operator Characteristic (ROC) statistic, specifying a sensitivity and a specificity, for correct classification of patients.

Abstract: Nanostructure lipid carriers, delivery systems, methods of making nanostructured lipid carriers and delivery systems, and methods of using the same are disclosed. A composition is disclosed and comprises at least one nanostructured lipid carrier, the nanostructured lipid carrier comprising a shell comprising an emulsifier, and an inner matrix comprising a solid lipid and a liquid lipid, wherein the nanostructured lipid carrier has a diameter of 50 nm or less.

Abstract: A method for calculating a distance between a vehicle camera and an object, the method may include: (a) obtaining an image that was acquired by the vehicle camera of a vehicle; the image captures the horizon, the object, and road lane boundaries; (b) determining an initial row-location horizon estimate and a row-location contact point estimate, the contact point is between the object and a road on which the vehicle is positioned; (c) determining a vehicle camera roll angle correction that once applied will cause the lanes boundaries to be parallel to each other in the real world; (d) calculating a new row-location horizon estimate, wherein the calculating comprises updating the row-location horizon estimate based on the vehicle camera roll angle correction; and (e) calculating the distance between the vehicle camera based on a difference between the new row-location horizon estimate and the row-location contact point estimate.