Abstract: Methods and devices for transvascular prosthetic chordae tendineae implantation are disclosed. A catheter is advanced into the left atrium. From an atrium side, a leaflet anchor having a leaflet suture is secured to the mitral valve leaflet. A ventricular anchor is anchored to the wall of the ventricle to secure the ventricular wall to a ventricle suture. The leaflet suture and the ventricle suture may be tensioned and connected by a suture lock to form an artificial chordae. The suture lock has a body with a suture path extending therethrough. A wall in the housing is movable to reduce the cross section of the suture path. A drive mechanism advances the movable wall to clamp sutures extending through the suture path, in response to rotation of a coupling on the housing.

Abstract: This disclosure involves executing artificial intelligence models that infer image editing operations from natural language requests spoken by a user. Further, this disclosure performs the inferred image editing operations using inferred parameters for the image editing operations. Systems and methods may be provided that infer one or more image editing operations from a natural language request associated with a source image, locate areas of the source that are relevant to the one or more image editing operations to generate image masks, and performing the one or more image editing operations to generate a modified source image.

Abstract: A hearing aid, in particular a BTE hearing aid, includes a base part and an ear hook which can be attached to the base part. In an assembled state, the base part and the ear hook are connected by a nozzle and a receptacle. A sound channel runs through the nozzle. The nozzle has a circumferential outer wall and the receptacle has a circumferential inner wall. In the assembled state, a circumferential sealing ring having a thickness is disposed between the outer wall and the inner wall. The sealing ring lies in particular in an annular groove and the inner wall preferably has two reduction sections which compress the sealing ring.

Abstract: In various examples, live perception from sensors of a vehicle may be leveraged to detect and classify intersections in an environment of a vehicle in real-time or near real-time. For example, a deep neural network (DNN) may be trained to compute various outputs—such as bounding box coordinates for intersections, intersection coverage maps corresponding to the bounding boxes, intersection attributes, distances to intersections, and/or distance coverage maps associated with the intersections. The outputs may be decoded and/or post-processed to determine final locations of, distances to, and/or attributes of the detected intersections.

Abstract: The invention refers to the two-axis direct-drive rotation mechanism for observation device with design drive block inside assembly tilt-axes for a multi-sensor surveillance device used for unmanned vehicles. This is mechanical mechanism performs rotate pan-tilt axis by direct drive motor. This mechanism include of main components: assembly pedestal, assembly pan-axis and assembly tilt-axis. Electronic circuits, encoders, mechanism, motor are optimized arranged and scientific designed the layout space and the weight of the structure. This mechanism can integrate optical sensors such as infrared cameras, high resolution camera, laser rangefinder.

Abstract: Disclosed are compounds of formula (I), and pharmaceutically acceptable salts thereof, which are inhibitors of the complement system. Also provided are pharmaceutical compositions comprising such a compound, and methods of using the compounds and compositions in the treatment or prevention of a disease or condition characterized by aberrant complement system activity.

Abstract: Systems and methods for image captioning are described. One or more aspects of the systems and methods include generating a training caption for a training image using an image captioning network; encoding the training caption using a multi-modal encoder to obtain an encoded training caption; encoding the training image using the multi-modal encoder to obtain an encoded training image; computing a reward function based on the encoded training caption and the encoded training image; and updating parameters of the image captioning network based on the reward function.

Abstract: The disclosed embodiments relate to a computer system with a cache memory that supports tagless addressing. During operation, the system receives a request to perform a memory access, wherein the request includes a virtual address. In response to the request, the system performs an address-translation operation, which translates the virtual address into both a physical address and a cache address. Next, the system uses the physical address to access one or more levels of physically addressed cache memory, wherein accessing a given level of physically addressed cache memory involves performing a tag-checking operation based on the physical address. If the access to the one or more levels of physically addressed cache memory fails to hit on a cache line for the memory access, the system uses the cache address to directly index a cache memory, wherein directly indexing the cache memory does not involve performing a tag-checking operation and eliminates the tag storage overhead.

Abstract: Determining a target's range profiles is an important issue for coastal surveillance radars because it can give us the knowledge about the target, for example, target's type, target's structure and its length along radial direction. Some modern radars nowaday are equipped with the feature of target's range profile extraction, but the results are not accurate due to limitations in processing algorithms. The invention “system and method of determining target's range profiles for coastal surveillance radars” solves the above problem in the direction of proposing a system of technical solutions and associated algorithm improvements.

Abstract: In various examples, live perception from sensors of a vehicle may be leveraged to detect and classify intersections in an environment of a vehicle in real-time or near real-time. For example, a deep neural network (DNN) may be trained to compute various outputs—such as bounding box coordinates for intersections, intersection coverage maps corresponding to the bounding boxes, intersection attributes, distances to intersections, and/or distance coverage maps associated with the intersections. The outputs may be decoded and/or post-processed to determine final locations of, distances to, and/or attributes of the detected intersections.

Abstract: Techniques for training a first neural network (NN) model using a pre-trained second NN model are disclosed. In an example, training data is input to the first and second models. The training data includes masked tokens and unmasked tokens. In response, the first model generates a first prediction associated with a masked token and a second prediction associated with an unmasked token, and the second model generates a third prediction associated with the masked token and a fourth prediction associated with the unmasked token. The first model is trained, based at least in part on the first, second, third, and fourth predictions. In another example, a prediction associated with a masked token, a prediction associated with an unmasked token, and a prediction associated with whether two sentences of training data are adjacent sentences are received from each of the first and second models. The first model is trained using the predictions.

Abstract: A cache memory includes cache lines to store information. The stored information is associated with physical addresses that include first, second, and third distinct portions. The cache lines are indexed by the second portions of respective physical addresses associated with the stored information. The cache memory also includes one or more tables, each of which includes respective table entries that are indexed by the first portions of the respective physical addresses. The respective table entries in each of the one or more tables are to store indications of the second portions of respective physical addresses associated with the stored information.

Abstract: A method for transferring alignment marks between substrate systems includes providing a substrate having semiconductor devices and alignment marks in precise alignment with the semiconductor devices; and physically transferring and bonding the semiconductor devices and the alignment marks to a temporary substrate of a first substrate system. The method can also include physically transferring and bonding the semiconductor devices and the alignment marks to a mass transfer substrate of a second substrate system; and physically transferring and bonding the semiconductor devices and the alignment marks to a circuitry substrate of a third substrate system. A system for transferring alignment marks between substrate systems includes the substrate having the semiconductor devices and the alignment marks in precise alignment with the semiconductor devices. The system also includes the first substrate system, and can include the second substrate system and the third substrate system.

Abstract: Techniques and systems are described for performing semantic text searches. A semantic text-searching solution uses a machine learning system (such as a deep learning system) to determine associations between the semantic meanings of words. These associations are not limited by the spelling, syntax, grammar, or even definition of words. Instead, the associations can be based on the context in which characters, words, and/or phrases are used in relation to one another. In response to detecting a request to locate text within an electronic document associated with a keyword, the semantic text-searching solution can return strings within the document that have matching and/or related semantic meanings or contexts, in addition to exact matches (e.g., string matches) within the document. The semantic text-searching solution can then output an indication of the matching strings.

Abstract: Systems and methods for natural language processing are described. One or more aspects of a method, apparatus, and non-transitory computer readable medium include receiving a text phrase; encoding the text phrase using an encoder to obtain a hidden representation of the text phrase, wherein the encoder is trained during a first training phrase using self-supervised learning based on a first contrastive loss and during a second training phrase using supervised learning based on a second contrastive learning loss; identifying an intent of the text phrase from a predetermined set of intent labels using a classification network, wherein the classification network is jointly trained with the encoder in the second training phase; and generating a response to the text phrase based on the intent.

Abstract: A computing device comprising: a plurality of ALUs; a set of registers; a memory; a memory interface between the registers and the memory; a control unit controlling the ALUs by generating: at least one cycle i including both implementing at least one first computing operation by way of an arithmetic logic unit and downloading a first dataset from the memory to at least one register; at least one cycle ii, following the at least one cycle i, including implementing a second computing operation by way of an arithmetic logic unit, for which second computing operation at least part of the first dataset forms at least one operand.

Abstract: The described techniques are directed towards a host virtual machine configured to host a container. In some examples, a device can monitor communication between a container executing on a host virtual machine and the host virtual machine. The host virtual machine can include a first operating system. The container can include a first computer-executable instruction. The device can detect that the first computer-executable instruction is configured to run on a second operating system based on monitoring the communication between the container executing on the host virtual machine and the host virtual machine. The device can further detect a second computer-executable instruction that is configured to run on the first operating system, the second computer-executable instruction can be accessible to the host virtual machine. The device can further include mounting the second computer-executable instruction from the host virtual machine into the container.

Abstract: The present invention provides novel peptide inhibitors of the interleukin-23 receptor, and related compositions and methods of using these peptide inhibitors to treat or prevent a variety of diseases and disorders, including inflammatory bowel diseases.

Abstract: A driver monitor system includes an image data acquiring module configured to acquire a plurality of image data from a data collection module; a training module configured to train a plurality of teacher models to obtain a plurality of feature groups using the plurality of image data, and transfer a plurality of pieces of knowledge obtained from the plurality of feature groups to a plurality of student models, respectively; and at least one edge device comprising the plurality of student models configured to use a pipeline design pattern with multiple threads to make a warning.

Abstract: Solid state sources offer potential advantages including high brightness, electricity savings, long lifetime, and higher color rendering capability, when compared to incandescent and fluorescent light sources. To date however, many of these advantages have not been borne out in providing white LED lamps for general lighting applications. The inventors have established that surface recombination through non-radiative processes results in highly inefficient electrical injection. Exploiting in-situ grown shells in combination with dot-in-a-wire LED structures to overcome this limitation through the effective lateral confinement offered by the shell, the inventors have demonstrated core-shell dot-in-a-wire LEDs with significantly improved electrical injection efficiency and output power, providing phosphor-free InGaN/GaN nanowire white LEDs operating with milliwatt output power and color rendering indices of 95-98.