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This article discusses a patent issued to QUALCOMM Incorporated for improving the training of neural networks in wireless communication systems. The patent describes methods for training neural networks based on signal to noise ratios (SNRs) of channel estimates, and the use of perturbed channel estimates to enhance training. The patent also covers the transmission of parameters and instructions between base stations and user equipment for training the neural networks. The invention aims to enhance the efficiency and performance of wireless communications through the application of neural network processing. [Extracted from the article]

This article discusses a patent application related to wireless communication and machine learning. The inventors propose a method for wireless communication that involves configuring multiple machine learning model groups and monitoring occasions for switching between these groups. The patent application also describes the use of artificial neural networks in wireless communications to improve efficiency. The article provides a summary of the inventors' claims and includes keywords such as cyborgs, electronics, neural networks, machine learning, and wireless technology. [Extracted from the article]

A patent has been issued to Trice Imaging Inc. for systems and methods that convert and deliver medical images to mobile devices and remote communication systems. The patent describes the challenges in handling and transmitting medical images, particularly those in the DICOM format used by medical imaging devices. The system described in the patent aims to automate the conversion and delivery of medical images to various output devices while maintaining image quality. This technology could be beneficial for patients who want to share their medical images or for smaller medical practices that lack the resources for a full PACS system. [Extracted from the article]

A recent study conducted at Menoufia University in Egypt explores the use of a sustainable biocyber interface for targeted drug delivery. The researchers propose a bioinspired molecular communications system that utilizes molecules as information carriers and a nanorelay to transfer therapeutic drugs to diseased tissue. The communication among bio-nano things (BNTs) is achieved through a multistep FRET process, controlled by the Internet of Bio-Nano Thing (IoBNT) paradigm. The study demonstrates the effectiveness of this approach in transmitting therapeutic medication information. This research provides valuable insights into the emerging field of nanobiotechnology and its potential applications in drug delivery systems. [Extracted from the article]

A patent application titled "Network-User Equipment (Ue) Collaboration Levels For Artificial Intelligence/Machine Learning (Ai/Ml) Operation" has been made available online. The application discusses wireless communication systems and the use of machine learning in these systems. It describes methods for collaboration between user equipment (UE) and network devices at different levels of collaboration for machine learning operations. The patent application provides technical details and potential applications for this technology. [Extracted from the article]

A patent application titled "Physical Downlink Control Channel (Pdcch) To Indicate Machine Learning (Ml) Model Group Switching" has been published online. The application discusses the use of machine learning models in wireless communication systems. It describes the various multiple-access technologies used in telecommunications and the enhancements made in the New Radio (NR) or 5G standard. The inventors propose a method and apparatus for wireless communication that involves receiving a physical downlink control channel (PDCCH) message indicating a machine learning model group and switching to that group. The patent application provides detailed technical information and claims related to this invention. [Extracted from the article]

A patent has been issued to Huawei Technologies Co. Ltd. for a method of transmitting hybrid automatic repeat request (HARQ) feedback information. The patent describes a method for ensuring that HARQ feedback information of multiple downlink data channels is smoothly sent, improving service transmission reliability. The method involves obtaining transmission parameter groups, receiving downlink data channels corresponding to the parameter groups, determining a transmission resource, and sending HARQ feedback information on the transmission resource. The invention aims to meet the higher requirements of a fifth-generation (5G) mobile communications system, particularly for ultra-reliable and low-latency communications (URLLC) scenarios such as self-driving and telemedicine. [Extracted from the article]

A patent has been issued for a medical device alarm method and system developed by inventors H. Lee Browne, Carl M. Elam, and David Schmidt. The patent, assigned to Soundview Technology Solutions, describes a system that utilizes wireless devices, such as cell phones and wireless medical devices, in conjunction with signal monitoring devices to establish the location of a wireless device within a building or facility. The system can also create route and guidance information for users to navigate to a desired destination within the building or facility. The patent provides details on the components and functionality of the system, including the exchange of signals between wireless devices and monitoring devices. [Extracted from the article]

This article discusses a patent application for a method and apparatus related to wireless communication and machine learning. The inventors propose a technique called federated learning, which allows multiple user equipment (UE) to collaborate in training a shared machine learning model. The method involves transmitting messages between the UE and a network node to update and train the machine learning model based on local data instances. The invention aims to improve wireless communication systems by applying artificial neural network processing and machine learning techniques. The patent application describes a method and apparatus for wireless communication that adjusts biased data distributions for federated learning. The method involves transmitting messages between a network node and a user equipment (UE) to update and distribute local data instances associated with a machine learning model. The apparatus includes means for receiving and transmitting these messages. The goal is to ensure that the data distribution conditions are satisfied and that the machine learning model is trained effectively. The patent application provides detailed claims and additional information for further exploration. [Extracted from the article]

QUALCOMM Incorporated has been issued a patent for wireless uplink bandwidth enhancement using machine learning for compression estimate. The patent describes a method for wireless communication that involves predicting compression gain for uplink data using a machine learning model and transmitting a buffer status report to the network. The invention aims to improve wireless communication systems by applying neural network processing. The provided document is a patent application filed by QUALCOMM Incorporated, describing a system and method for wireless communication using cyborg technology. The system includes a cyborg device that can wirelessly communicate with other devices and store data, utilizing neural networks and machine learning algorithms. The invention aims to improve wireless communication and data storage capabilities using emerging technologies. [Extracted from the article]

A patent has been issued to QUALCOMM Incorporated for a device that mitigates deafness in sidelink communications. The patent describes techniques for device cooperation in wireless communications systems, where one user equipment (UE) acts as a proxy receiver for another UE that is unable to receive transmissions. The UEs can establish rules or conditions for the proxy behavior, and the proxy UE can transmit feedback signaling to the transmitting UE. This technology aims to improve communication reliability and address deafness issues in wireless networks. [Extracted from the article]

A patent has been issued to QUALCOMM Incorporated for lower analog media access control (MAC-A) layer and physical layer (PHY-A) functions for analog transmission protocol stack. The patent describes methods and apparatus for wireless communication using analog neural network gradients. These techniques aim to improve wireless communications systems by applying neural network processing to achieve greater efficiencies. The patent provides detailed information on the technical aspects and applications of these methods and apparatus. [Extracted from the article]

A patent application has been submitted for a "Smart Cabinet for Emergency Intervention" by inventors Gregory R. Imbruce and Richard Imbruce. The cabinet is designed to hold medical treatment and emergency response items and is equipped with a communication system that allows for remote communication between a person in distress and an emergency response entity. The cabinet can also provide non-emergency customer assistance functions. The inventors highlight the importance of quick access to medical equipment and the ability to receive instructions remotely in emergency situations. The patent application provides detailed claims for the design and functionality of the cabinet. [Extracted from the article]

A patent has been issued to QUALCOMM Incorporated for a configurable neural network for channel state feedback (CSF) learning. The patent describes methods for wireless communication using neural network training configurations for CSF. The invention aims to improve wireless communications systems by applying neural network processing to achieve greater efficiencies. The patent provides detailed information on the technical aspects and applications of the invention. [Extracted from the article]

A patent has been issued for an emergency equipment receptacle and alert notification system. The system securely stores tools, weapons, first aid supplies, and safety equipment, and includes locking receptacles and panic panels that can send emergency information to contacts and authorities. The system also has a biometric recognition system for authorized access, a communications system to contact emergency personnel, and the ability to transmit data such as GPS location and access time. The patent was filed by Grav I.T. LLC and published in 2024. [Extracted from the article]

A patent application titled "Model Status Monitoring, Reporting, And Fallback In Machine Learning Applications" has been published online. The application describes methods for wireless communications using machine learning models. The user equipment (UE) communicates with a network based on a machine learning model, monitors the status of the model, and reports the status using a predetermined resource. If the model fails, the UE falls back to a fallback procedure to maintain wireless communication. The network receives the status report and indicates a fallback procedure to the UE in response to a model failure. The patent application provides detailed descriptions of the methods and includes various claims. [Extracted from the article]

A patent has been issued to QUALCOMM Incorporated for a method and apparatus for reducing spatial inter-cell downlink interference in wireless communication systems. The invention involves predicting the interference experienced by a user equipment (UE) and communicating with neighboring network devices to protect resources and reduce interference. The patent describes the use of artificial neural networks and convolutional neural networks in wireless communications to improve efficiency. The patent provides detailed claims and can be accessed online for further information. [Extracted from the article]

This article discusses a patent application for cross-node deep learning methods in wireless communication systems. The patent application describes a method and apparatus for wireless communication that involves using machine learning modules to predict future beams for communication with the network. The decision-making module determines the selection parameter for configuring the machine learning modules, and the apparatus reports the decision to the network. The invention aims to improve the efficiency of wireless communications by applying neural network processing. [Extracted from the article]

A patent has been issued to QUALCOMM Incorporated for an artificial intelligence-based user equipment (UE) capability band combination prioritization system. The patent describes a method for wireless communication that involves a user equipment (UE) receiving a capability request from a network, retrieving a prioritized list of frequency band combinations based on the UE's location, and transmitting the adjusted prioritized list to the network. Similarly, a network device can receive a request from a UE for a list of frequency band combinations based on its location and transmit a prioritized list to the UE based on a selected network configured frequency band combination. The patent highlights the use of artificial neural networks and convolutional neural networks in wireless communications. [Extracted from the article]

A patent application titled "Location Based Home Screens For Caregiver Portable Wireless Devices" is currently being reviewed. The application outlines a system designed for healthcare facilities that utilizes mobile computing devices and universal caregiver interfaces. These devices can be paired with patient support systems and serve as user interfaces, reducing the need for caregivers to physically interact with multiple pieces of medical equipment. The system also includes features such as location-based home screens on wireless mobile devices and the ability to collect and store patient data in electronic medical records. The goal of this system is to streamline caregiver tasks and provide a centralized display for monitoring patient care devices. [Extracted from the article]

A patent has been issued to Huawei Technologies Co. Ltd. for a multibeam antenna. The antenna is designed to increase coverage area and meet the requirements of modern communication systems. Unlike conventional single-beam antennas, the multibeam antenna has multiple main radiation directions. It does not require a complex feeding network, making it more compact. The antenna includes a substrate, antenna element, first guiding apparatus, and second guiding apparatus. It can implement beam coverage in at least two directions by feeding through only one end. The patent provides detailed technical information and possible implementations of the multibeam antenna. [Extracted from the article]

A patent application titled "Health Checks For Infusion Pump Communications Systems" has been made available online. The inventors describe various techniques for facilitating communication between a clinical environment and a cloud environment, including converting pump messages into standardized dataset messages, updating drug libraries and pump operational software, and detecting and sending health status parameters. The patent application also discusses a distributed system that includes a server, a connectivity adapter, and multiple infusion pumps, as well as an apparatus configured to receive operational software updates and drug library updates from a server and communicate them to infusion pumps. The inventors' claims include monitoring parameters associated with microservices, determining when a parameter exceeds a threshold, formatting and transmitting a message to the server, and resetting the respective microservice. [Extracted from the article]

This patent application by Spriv LLC outlines a method and system for verifying the identity of internet users by comparing the location of their mobile phone with the location of their computer. The goal is to prevent fraud and protect personal information during online transactions. The invention also has the potential to improve the accuracy of determining the location of routers. The method uses technologies like GPS, Wi-Fi, and cellular networks to determine the location of the mobile phone. If the phone is within an acceptable distance of the computer's location, the user is granted access to the website or transaction. [Extracted from the article]

This article discusses a patent application for a machine learning-based dynamic demodulator selection system in wireless communication. The system uses artificial neural networks to predict and select the least complex demodulator for each data block based on its features. The goal is to achieve optimal performance while minimizing power consumption. The patent application was filed by inventors from various locations and has not been assigned to a specific company or institution. [Extracted from the article]

This article discusses a patent application for a method and apparatus for wireless communication using machine learning-based dynamic demodulator parameter selection. The invention aims to predict and select the least complex set of demodulator parameters for each data block in order to achieve a goal and prevent degradation of demodulation performance. The patent application was filed by inventors from various locations and has not been assigned to a specific company or institution. The article provides background information on wireless communication systems and artificial neural networks, highlighting the potential benefits of applying neural network processing to wireless communications. [Extracted from the article]

A patent has been issued to QUALCOMM Incorporated for cross-node deep learning methods of selecting machine learning modules in wireless communication systems. The patent describes a method for wireless communication that involves a user equipment (UE) receiving a configuration for a decision-making module from a network, executing the module to determine a selection parameter for configuring at least one machine learning module, selecting the configuration based on the parameter, and reporting the decision to the network. The patent also includes methods and apparatuses for network devices and UEs in wireless communication. The invention aims to apply neural network processing to wireless communications for greater efficiencies. [Extracted from the article]

A patent application titled "System and Method For Browsing in a Plurality of Aisles in a Virtual Storefront" has been made available online. The invention aims to address the limitations of online shopping by providing a system that allows consumers to browse and explore products in a virtual storefront. The system includes a server system, a memory system, and a virtual storefront displayed on an external touch display screen. The virtual storefront consists of various screenshots that enable users to navigate through different aisles and access features such as product information, payment options, and customer service chat. The invention seeks to enhance the convenience and accessibility of online shopping for both consumers and retailers. [Extracted from the article]

A patent application has been submitted for a method of determining zone membership in zone-based federated learning. The method involves a user equipment (UE) receiving a zone determination function and determining its zone membership based on UE parameters and the zone determination function. The UE then selects a federated learning model based on its zone membership and trains the model. The patent application provides background information on wireless communications systems and artificial neural networks, and outlines the technical advantages of the disclosed method. [Extracted from the article]

A patent has been issued to QUALCOMM Incorporated for a receiving beam schedule for sidelink communications. The patent describes techniques for configuring and indicating a schedule of resources for efficient sidelink communications. These techniques involve beamforming procedures to determine beam configurations and the use of explicit beam schedules to decrease the likelihood of misaligned communication beams and improve signal quality. The patent provides detailed descriptions of apparatuses and methods for wireless communication in sidelink channels. [Extracted from the article]

A patent application titled "System And Method For Using A Supplement Beverage Dispensing Machine" has been published online. The invention aims to provide a convenient way for individuals to obtain protein-based beverages or other supplement drinks. The system includes a server system, a supplement beverage dispensing machine, and a client system such as a smartphone or smartwatch. The method involves placing a beverage container in the machine, dispensing the supplement beverage with desired combinations of supplement powders, and ceasing the dispensing when the container is filled. The system also includes graphical user interfaces displayed on an external touch display screen for user interaction. [Extracted from the article]