Abstract: Systems and methods for generating an optimized prompt using a language model are disclosed. A query is received at an application. A description is generated for the query based on information extracted from the query. The description is then used to identify a top-k most similar prompt from a prompt library. An optimized prompt is generated at the language model based on the description and the top-k most similar prompts. An optimized response is generated based on the optimized prompt. An evaluation prompt including the optimized response is generated. The evaluation prompt includes instructions to compare the optimized response to a non-optimized response based on the query. A rationale is generated indicating the results of the comparison. The results of the comparison may be interactive.

Abstract: Boost-based power factor correction with closed-loop control is described herein. Some embodiments include a current-source fed power factor correction circuit, comprising a current transformer configured to step down a current from a current source, a diode bridge rectifier connected to the current transformer, a capacitor connected to an output of the diode bridge rectifier, a boost converter having a start-up diode and connected to the capacitor, a direct current (DC)-DC converter connected to an output of the boost converter and configured to regulate an operation of a light-emitting diode (LED), a voltage sensor configured to determine output voltage, and a current sensor configured to determine a current associated with the diode bridge rectifier.

Abstract: Compounds, compositions, and methods for making and using the compounds for treatment of cancer are provided herein. Mechanistically, these compounds were found to bind to RPS23 and were effective in activating the inducible stress response.

Abstract: Beam configuration optimization is disclosed. A network node device may determine a grid of beams. The grid of beams is determined to maximize a fairness function of an estimated received power of at least two of the beams of the grid of beams that are optimal for each client device of a plurality of client devices.

Abstract: The present disclosure provides a method for preparing lutein ester, by providing a raw material selected from marigold flowers or marigold meal; subjecting the raw material to extraction using ethanol followed by acetone; and concentrating to obtain an extract which may then be crystallized to obtain lutein ester crystal of high purity. Further, the present disclosure provides a method for preparing lutein ester, by providing a raw material selected from marigold flowers or marigold meal; subjecting the raw material to extraction using isopropanol; and concentrating to obtain an extract which may then be crystallized to obtain lutein ester crystal of high purity.

Abstract: An Open Radio Access Network Category B radio unit (O-RU) of a wireless network associates, for a first extended antenna carrier identifier (eAxC_Id) corresponding to a layer 0 precoding layer identifier (layerID), the first eAxC_Id with one or more second eAxC_Ids. Each second eAxC_Id corresponds to a non-layer 0 precoding layerID. The O-RU receives, for a user equipment (UE), a control plane message of Section Type 1 or 3. The message includes an extension type (ExtType) 3 first data layer, along with the first eAxC_Id in a transport header. The ExtType 3 first data layer indicates a number of precoding layers. The O-RU then precodes user plane data for downlink physical resource blocks allocated to the UE using the layer 0 precoding layerID of the first eAxC_Id, and each associated non-layer 0 precoding layerID of the one more second eAxC_Ids required to complete the number of precoding layers.

Abstract: A virtualized computing service provides a computing instance capable of requesting attestation of the authenticity of the hypervisor implementing the computing instances. An attestation device included in a virtualization host maintains a log of hash values representing hypervisor versions that have been implemented at the virtualization host. Also, an independent auditor (e.g., attestation service) is provided software configurations that are known to be authentic. The independent auditor generates hash values for the authentic hypervisor versions. The computing instance receives a response from the local attestation device indicating hash values of hypervisor versions currently and/or previously deployed on the virtualization host, and the computing instance forwards the hash values to the independent auditor to authenticate that they match the hash values of the known authentic hypervisor versions.

Abstract: A system compresses and decompresses attribute information for visual volumetric content, such as a mesh representation. Attribute values are included in the visual volumetric representation, wherein at least some of the attribute values include unitary vectors, such as surface normal vectors or surface tangent vectors having a magnitude of one unit. In order to compress the attribute information the three-dimensional unit vectors are mapped into two dimensional parametric coordinates for a planar representation of a unit sphere. To reduce negative effects on compression due to distortion or discontinuities in the planar representation, mappings for compressing respective unit vectors are adaptively selected.

Abstract: The present disclosure describes a method, and a system to identify call flows in Radio Unit (RU) or Centralized Unit (CU) and Distributed Units (DU) for cell-to-pod remapping. The method comprising receiving call flow traffic data of a plurality of DUs from an associated CU. Subsequently, the method comprises determining a first DU and a second DU among the plurality of DUs based on the call flow traffic data. Thereafter, the method comprises determining a new configuration for each of the first DU and the second DU based on at least one of the call flow traffic data, historical data, and pre-determined rules using a prediction model. Lastly, the method comprises transmitting the new configuration for each of the first DU and the second DU to the associated CU for remapping of a RU.

Abstract: Embodiments disclosed herein include electronic packages and methods of forming such electronic packages. In an embodiment, the electronic package comprises a mold layer having a first surface and a second surface opposite the first surface, and a plurality of first dies embedded in the mold layer. In an embodiment, each of the plurality of first dies has a surface that is substantially coplanar with the first surface of the mold layer. In an embodiment, the electronic package further comprises a second die embedded in the mold layer. In an embodiment, the second die is positioned between the plurality of first dies and the second surface of the mold layer.

Abstract: Systems and methods for restricting access and visibility to sensitive personal data during ingestion and storing within a data repository are disclosed. In one embodiment, a process for determining whether to grant access to protected data includes defining risk thresholds for predetermined data access patterns of a data repository, monitoring new data access patterns to build a security data profile based on quantifiable characteristics as risk factors, receiving a second request for data from a client device at the data repository, determining if any access control policies applies to the second request generating a risk score for the second request for data based on the security data profile, determining whether to grant access to the second request for data based upon at least one applicable access control policy and the risk score, and providing the requested data in response to the second request for data when access is granted.

Abstract: One embodiment provides a graphics processor comprising a block of graphics cores and circuitry including a programmable neural network unit, the programmable neural network unit including one or more neural network hardware blocks, wherein a neural network hardware block includes circuitry to perform neural network operations and activation operations for a layer of a neural network, the programmable neural network unit addressable by cores within the block of graphics cores, wherein the programmable neural network unit is to configure one or more neural network hardware blocks with a meta-shader neural network, the meta-shader neural network to generate a texture for one of multiple types of terrain.

Abstract: An illumination source and method are disclosed for improving brightness uniformity. The illumination source may include a laser sustained plasma light source configured to generate a broadband light beam. The illumination source may include an adjustable reflector configured to be adjusted based on one or more signals indicative of a brightness distribution of the broadband light beam emitted along one or more directions. The illumination source may include a set of optics. The set of optics may be configured to split the broadband light beam into a first and second broadband light beam, invert the second broadband light beam, and recombine the first and second broadband light beam. The set of optics may be configured to image the illumination source at least twice, to receive a first and second broadband light beam and then combine the first and second broadband light beam.

Abstract: A method of recovering hydrocarbons from a subterranean formation includes injecting into the subterranean formation a composition including carbon dioxide and at least one carbon-dioxide-soluble compound under conditions favorable to diffusion into and adsorption of the carbon-dioxide-soluble compound on the subterranean formation so that oil-wettability is decreased or water wettability or CO2-philicity is increased in at least a portion the subterranean formation.

Abstract: A computer implemented system and method is provided for responding to textual reviews. The method comprises: receiving harvested content comprising a text segment and associated with an entity; determining a primary intent of the text segment determined by reviewing a set of utterances in the text segment of the harvested content and comparing the set of utterances to example utterances associated with a set of pre-defined intents, the primary intent having a highest similarity to the set of utterances in the text segment as compared to other deduced intents and associated utterances. The method comprises assigning a confidence score associated with determining the primary intent. If the confidence score exceeds a first threshold, generating an automated response, based on the primary intent and automatically responding to the harvested content with the automated response having the customized sentence segment where the confidence score exceeds a second threshold score.

Abstract: In some embodiments, apparatuses and methods are provided herein useful to presenting information to customers. In some embodiments, an augmented reality system for presenting information to customers comprises a personalization server configured to store personalized data for the customers, receive an indication of a customer, receive a product identifier for a product, retrieve personalized data for the customer, and transmit the personalized data for the customer, an application configured to be executed by the mobile device, the application when executed by the mobile device causing the mobile device to capture images of products in a retail facility, receive user input to select the product from the images of products, receive the personalized data for the customer, generate an augmented reality presentation, and present the augmented reality presentation, and a control circuit configured to identify the product, and determine the product identifier for the product.

Abstract: A method for object tracking includes receiving a target image of an object of interest. Latent space features of the target image is modified at a forward pass for a neural network by dropping at least one channel of the latent space features, dropping a channel corresponding to a slice of the latent space features, or dropping one or more features of the latent space features. At the forward pass, a location of the object of interest in a search image is predicted based on the modified latent space features. The location of the object of interest is identified by aggregating predicted locations from the forward pass.

Abstract: The present invention relates to a process for the preparation of lasmiditan, a compound of formula I, or pharmaceutically acceptable salts thereof, the process comprising reacting a compound of formula IV with morpholine to obtain a compound of formula II, reacting the of formula III with a compound of formula IIA to obtain lasmiditan or salt thereof.

Abstract: The disclosure relates to systems, methods, and computer-readable media for an artificial intelligence (AI) conversational agent configured for enhanced user interaction in multi-channel contact centers. An example method includes receiving a query regarding a particular property of an asset during a real-time conversation, classifying an intent of the query into a predefined category, triggering, based on the classifying of the intent, a finetuned large language model for the predefined category to answer the query, generating, by the finetuned large language model, a response to the query based on at least one of an information data model and a knowledge graph data store, and outputting the response to the query.

Abstract: An end-to-end automatic speech recognition (ASR) system can be constructed by fusing a first ASR model with a transformer. The input of the transformer is a learned layer generated by the first ASR model. The fused ASR model and transformer can be treated as a single end-to-end model and trained as a single model. In some embodiments, the end-to-end speech recognition system can be trained using a teacher-student training technique by selectively truncating portions of the first ASR model and/or the transformer components and selectively freezing various layers during the training passes.