Abstract: It consists of a system for palpation of the rectal face of the prostate that transforms the information collected into objective, reproducible and useful information. The system makes it possible to identify areas of high rigidity reaching the entire peripheral area, transforming a diagnostic maneuver for prostate cancer into an objective one, which until now has been subjective and unreliable. All this in a short space of time, carried out in a less aggressive and more objective way than rectal examination. The device consists of a manual electronic instrument with a handle (1) and a scanning rod (3), which includes at least two concentric force/pressure sensors of different heights, as well as an ultrasonic imaging system which, through means of connection to external devices for analysis/control, allows the data obtained to be analyzed and the anatomy of the prostate being analyzed to be visualized in real time.

Abstract: A carrier for holding a plurality of containers, the carrier includes a front portion, the front portion including a portion of at least one attachment panel for at least partially receiving a respective container of the plurality of containers, a back portion, the back portion including a portion of the at least one attachment panel for at least partially receiving a respective container of the plurality of containers, and a reinforcement portion extending from the front portion to the back portion for reinforcing the carrier.

Abstract: A method of processing merged 3D geometric information in a 3D printing system is described that receives a 3D object model file representing at least two physical 3D parts to be printed, wherein the 3D object model file comprises 3D geometric information for the at least two physical 3D parts, wherein the 3D geometric information is encoded as at least one logical 3D part, wherein at least one of the at least one logical 3D part comprises merged 3D geometric information for at least a subset of the at least two physical 3D parts. From the 3D object model file, a separate set of 3D geometric information for each of the at least two physical 3D parts is extracted and each separate set of 3D geometric information is processed individually before printing the physical 3D parts.

Abstract: Person or object authentication can be performed using artificial intelligence-enabled systems. Reference information, such as for use in comparisons or assessments for authentication, can be updated over time to accommodate changes in an individual's appearance, voice, or behavior. In an example, reference information can be updated automatically with test data, or reference information can be updated conditionally, based on instructions from a system administrator. Various types of media can be used for authentication, including image information, audio information, or biometric information. In an example, authentication can be performed wholly or partially at an edge device such as a security panel in an installed security system.

Abstract: In some examples, a system receives measurement data from measurements of first three-dimensional (3D) parts formed on a build bed of an additive manufacturing machine with different contone levels of a liquid agent, and determines, based on the measurement data, geometrical deviations of the first 3D parts from a baseline geometrical property. The system generates, based on the determined geometrical deviations, a model that correlates contone levels of the liquid agent to corresponding geometrical deviations, the model for use in an adjustment of the liquid agent based on a contone level adjustment to compensate for a geometrical deviation when building second 3D parts with the additive manufacturing machine or another additive manufacturing machine.

Abstract: A compressor device includes a coolant jacket cooperatively defined by a motor case and an outer motor housing. The coolant jacket includes a radial portion that spans about the motor case in a circumferential direction and an axial direction with respect to the axis of rotation of the motor. The coolant jacket includes an axial portion that spans in a radial direction across an axial end of the motor case. At least one of the plurality of flow passages fluidly connects the radial portion and the axial portion.

Abstract: The invention provides compounds of Formula (I) for inhibiting glycosidases, pro drugs of the compounds, and pharmaceutical compositions comprising the compounds or prodrugs of the compounds. The invention also provides methods of treating diseases and disorders related to deficiency or overexpression of OGA, accumulation or deficiency of O-GlcNAc.

Abstract: Removing disfluencies from an audio stream is disclosed, including: receiving an audio stream comprising payload segments and disfluency segments; determining windows of audio in the audio stream; identifying the disfluency segments in the audio stream using the windows of audio; and modifying the audio stream by removing at least a portion of the disfluency segments.

Abstract: Disclosed is a pontoon (111) for transporting and placing a one-piece marine wind turbine (115) on the seabed, wherein the one-piece wind turbine (115) comprises a base caisson (116) that can be fitted inside the open space of the U-shaped pontoon (111) for transporting, positioning and placing the base caisson (116) of the marine wind turbine (115) on the seabed, by ballasting the base caisson (116) and the U-shaped pontoon (111) in a synchronised manner using seawater.

Abstract: A security system can conditionally grant or deny access to a protected area using an artificial intelligence system to analyze images. In an example, an access control method can include receiving candidate information about a face and gesture from a first individual and receiving other image information from or about a second individual. The candidate information can be analyzed using a neural network-based recognition processor that can provide a first recognition result indicating whether the first individual corresponds to a first enrollee of the security system, and can provide a second recognition result indicating whether the second individual corresponds to a second enrollee of the security system. The example method can include receiving a passcode, such as from the first individual. Access can be conditionally granted or denied based on the passcode and the recognition results.

Abstract: A method for categorizing a substrate subject to a semiconductor manufacturing process including multiple operations, the method including: obtaining values of functional indicators derived from data generated during one or more of the multiple operations on the substrate, the functional indicators characterizing at least one operation; applying a decision model including one or more threshold values to the values of the functional indicators to obtain one or more categorical indicators; and assigning a category to the substrate based on the one or more categorical indicators.

Abstract: Methods and structures are presented for implementing an automatic target recognition system as a convolutional neural network (CNN) in a satellite or other environment with constrained resources, such as limited memory capacity and limited processing capability. For example, this allows for the automatic target recognition to be implemented on a field programmable gate array (FPGA). Image data is split into subsets of contiguous pixels, with the subsets processed in parallel in a CNN of a corresponding processing node using quantized weight values that are determined in a training process that accounts for the constraints of the automatic target recognition system. The results of the automatic target recognition process is based on the combined output of the processing nodes.

Abstract: Methods and structures are presented for implementing an automatic target recognition system as a convolutional neural network (CNN) in a satellite or other environment with constrained resources, such as limited memory capacity and limited processing capability. For example, this allows for the automatic target recognition to be implemented on a field programmable gate array (hdFPGA). Image data is split into subsets of contiguous pixels, with the subsets processed in parallel in a CNN of a corresponding processing node using quantized weight values that are determined in a training process that accounts for the constraints of the automatic target recognition system. The results of the automatic target recognition process is based on the combined output of the processing nodes.

Abstract: The invention relates to a nucleic acid aptamer with the capability of binding specifically to a and inhibiting TLR-4, to a complex comprising said aptamer and a functional group, as well as to pharmaceutical compositions thereof. The invention also relates to uses and methods for detecting TLR-4 and to uses and methods for inhibiting TLR-4. Finally, the invention also relates to an aptamer for use in manufacturing a drug for the treatment of a pathology characterized by an increase in expression of TLR4 and/or an increase in activation of TLR-4.

Abstract: Generating a control output for a patterning process is described. A control input is received. The control input is for controlling the patterning process. The control input includes one or more parameters used in the patterning process. The control output is generated with a trained machine learning mod& based on the control input, The machine learning model is trained with training data generated from simulation of the patterning process and/or actual process data, The training data includes 1) a plurality of training control inputs corresponding to a plurality of operational conditions of the patterning process, where the plurality of operational conditions of the patterning process are associated with operational condition specific behavior of the patterning process over time, and 2) training control outputs generated using a physical model based on the training control inputs.

Abstract: A method for determining an inspection strategy for at least one substrate, the method including: quantifying, using a prediction model, a compliance metric value for a compliance metric relating to a prediction of compliance with a quality requirement based on one or both of pre-processing data associated with the substrate and any available post-processing data associated with the at least one substrate; and deciding on an inspection strategy for the at least one substrate, based on the compliance metric value, an expected cost associated with the inspection strategy and at least one objective value describing an expected value of the inspection strategy in terms of at least one objective relating to the prediction model.

Abstract: Method and apparatus for adapting a distribution model of a machine learning fabric. The distribution model is for mitigating the effect of concept drift, and is configured to provide an output as input to a functional model of the machine learning fabric. The functional model is for performing a machine learning task. The method may include obtaining a first data point, and providing the first data point as input to one or more distribution monitoring components of the distribution model. The one or more distribution monitoring components have been trained on a plurality of further data points. A metric representing a correspondence between the first data point and the plurality of further data points is determined, by at least one of the one or more distribution monitoring components. Based on the error metric, the output of the distribution model is adapted.

Abstract: A security system can conditionally grant or deny access to a protected area using an artificial intelligence system to analyze images. In an example, an access control method can include receiving candidate information about a face and gesture from a first individual and receiving other image information from or about a second individual. The candidate information can be analyzed using a neural network-based recognition processor that can provide a first recognition result indicating whether the first individual corresponds to a first enrollee of the security system, and can provide a second recognition result indicating whether the second individual corresponds to a second enrollee of the security system. The example method can include receiving a passcode, such as from the first individual. Access can be conditionally granted or denied based on the passcode and the recognition results.

Abstract: A method for categorizing a substrate subject to a semiconductor manufacturing process including multiple operations, the method including: obtaining values of functional indicators derived from data generated during one or more of the multiple operations on the substrate, the functional indicators characterizing at least one operation; applying a decision model including one or more threshold values to the values of the functional indicators to obtain one or more categorical indicators; and assigning a category to the substrate based on the one or more categorical indicators.

Abstract: Systems and methods are described for allocating Climate Impacting Measures (CIMs) on demand. A plurality of requests for CIMs may be received, where each request originates may include a desired emissions value. The requests may be aggregated into a batch having a total emissions value. A trained model may then be used to select CIM records and amounts of each selected CIM record based on CIM allocation rules, the batch emissions value, and optimization of an offset value in view of a cost associated with each selected CIM record. In some embodiments, further optimization may obtained using penalty functions and/or historical data from similar CIM record groups. Responses may then be transmitted to each of the plurality of requests, the responses each including a message for display on a graphic interface describing the allocated selected records for the requesting entity associated with the request.