Telecom & Technology

Super Typhoon Sinlaku Communications Status Report

FCC issued a status report on communications infrastructure following Super Typhoon Sinlaku as of April 18, 2026. The report provides updates on the status of communications systems in affected areas. This is a routine informational update from the agency's Media Relations Bureau.

Memory-Efficient Draft Machine Learning Model

USPTO published patent application US20260099673A1 titled 'Memory-Efficient Draft Machine Learning Model' on April 9, 2026. The application covers systems and methods for model training using linear layers, decoding layers, down-projection layers, and token predictors to generate ML output tokens with reduced memory requirements. The invention addresses computational efficiency in neural network architectures by processing embeddings through dimension-reducing projection operations.

Automated Pipeline for Training Language Models

USPTO has published patent application US20260099674A1 assigned to U.S. Bank National Association, describing a method and system for generating training datasets for language models using an automated pipeline. The system receives input samples, performs rephrasing operations via a generative LLM to produce semantically equivalent versions with different phrasing, labels entity references, and aggregates them into an expanded labeled dataset for natural language processing model training.

AI Education Platform with Graph-Based Q&A System

USPTO published patent application US20260100142A1 filed by Nicholas X. Wang on October 4, 2024. The application covers an AI-driven education platform using graph-based question-answering with an Intuitive Level Metric (ILM) optimization system. The invention generates causal graphs from multiple-choice questions and uses machine learning to produce answers alongside step-by-step visual instructions. CPC classifications include G09B 7/06 (electrically-operated education appliances) and G06N 20/00 (machine learning).

AI Text Analysis System to Accelerate Academic Research

USPTO published patent application US20260099682A1, filed November 20, 2024, for an AI-based text analysis system using a BERT model fine-tuned for academic and industry literature. The system includes multilingual query support, named entity recognition for datasets and methodologies, and integration with a Student Information System providing insights into student extracurricular decision-making activities. The application is classified under CPC codes G06F 40/40 and G06N 3/0455/3/096 covering AI and computing technologies.

4D Generative Models From in the Wild Videos

USPTO published patent application US20260099987A1 disclosing a method for generating 4D generative models from 2D video frames using 3D Gaussians and neural networks. The system processes sequential image frames to construct deformed 3D Gaussians with motion features, enabling creation of dynamic 4D scene representations from real-world video inputs. The application, filed October 7, 2025 under application number 19352319, names Koki Nagano, Kaiwen Jiang, Shalini De Mello, and Xueting Li as inventors.

Image Generation Using One or More Neural Networks

USPTO has published patent application US20260099963A1 by inventor Ming-Yu Liu for neural network-based image generation techniques. The application covers training neural networks to generate and modify digital images with user-selectable features, filed December 11, 2025 and published April 9, 2026.

Methods and Arrangements for Coupling Quantum Mechanical System to Quantum Mechanical Environment

The USPTO published patent application US20260099751A1 titled 'Methods and Arrangements for Coupling a Quantum Mechanical System to a Quantum Mechanical Environment.' The application covers a quantum information processing system comprising a quantum mechanical system capable of exhibiting transitions between eigenstates, coupled to a quantum control environment with modes from a continuous spectrum. Inventors Akseli Mäkinen and Mikko Möttönet filed the application on August 31, 2023.

Quantum Entanglement Management for Quantum Informatics System

USPTO published patent application US20260099749A1 for a quantum entanglement management system for quantum informatics processing. The system includes an entanglement scheduler that identifies operations requiring entanglement of quantum systems, evaluates potential entanglement attempts, and schedules attempts based on probability of success. The application was filed September 19, 2023, by inventors Stephanie Simmons and Camille Chartrand under CPC classifications G06N 10/40 and G06N 10/20.

Quantum Fourier Transform Partitioning in Data Center

The USPTO published patent application US20260099748A1 disclosing a method for distributed quantum Fourier transform (QFT) with reduced EPR pairs across multiple quantum processors in a datacenter. The invention by inventors Eneet Kaur and Reza Nejabati enables QFT computation to be partitioned across two or more quantum processors while using fewer entanglement resources and properly positioning qubits at completion without requiring swapping operations.

Variable Compression, De-Resolution, and Restoration of Medical Images Using GAN-Based AI

The USPTO published patent application US20260099920A1 filed by inventor Sean M. Kelly on September 25, 2023. The application covers an AI image processing platform that uses GAN models to compress, down-resolve, up-resolve, and restore medical images based on diagnostic and therapeutic relevance. The platform classifies image regions by cellular morphologies and diagnostic relevance and conveys processed images to client devices via communication networks. CPC classifications include G06T 7/0012, G06N 3/0475, and multiple G16H healthcare informatics categories.

Quantum Circuit Data Encoding Using Complex Numbers

The USPTO published patent application US20260099744A1 titled 'Complex Data Encoding for Quantum Circuits' on April 9, 2026. The application covers methods for encoding data into quantum circuits by chunking, tokenizing, and representing coefficients as complex numbers, allowing multiple values and positional information to be encoded in a single encoding input. Inventors are Brendan Burns Healy and Yasmin Mansy, with CPC classification G06N 10/20.

Quantum Computing Arrangement and Quantum Computer with Permanent Magnet Design

USPTO published patent application US20260099750A1 for a quantum computing arrangement featuring a permanent magnet system that establishes position-dependent magnetic fields along an axis. The invention includes space for trapping at least two quantum particles and soft magnetic material configured to enhance the magnetic field. The patent names seven inventors and was filed September 26, 2023.

Quantum Processing Units Rack Interconnect via Near Infrared Optical Links

The USPTO published patent application US20260099755A1 on April 9, 2026, covering architectures for quantum data centers. The invention describes quantum processing units arranged within a rack interconnected via near infrared optical links through a top-of-rack switch, with connection to external quantum network switches via telecommunication wavelength links.

Quantum Computing Scalability Evaluation Patent Application

USPTO published patent application US20260099742A1 by inventor Paul Victor Klimov, disclosing systems and methods for evaluating quantum computing scalability. The application covers obtaining benchmark performance data for quantum system architectures, deriving scaling parameters through quantum scaling models, and determining scaling metrics at processor sizes beyond tested ranges to inform control actions for operational quantum systems.

Fine-Tuning a Target Generative Neural Network Using an Improvement Generative Neural Network

Six inventors (Wang, Fan, Zhao, Ramachandran, Yang, Jain) filed USPTO patent application US20260099906A1 for methods to train generative neural networks. The technique uses an improvement neural network to process outputs from a target network and generate preferred training examples iteratively, reducing reliance on static datasets and external human annotation. The application was published April 9, 2026, following an October 3, 2025 filing date.

Machine Learning Device, Estimation System, Training Method, and Recording Medium

USPTO published patent application US20260099723A1 for a machine learning device that trains encoding models for sensor data using adversarial estimation techniques. The application, filed by NEC Corporation (Application No. 19414668) on December 10, 2025, covers devices and methods for training first and second encoding models with an adversarial estimation model to improve estimation accuracy.

Digital Product Network and Biology-Based Value Chain Network Systems and Methods

The European Patent Office published application EP4323940A2 titled 'SYSTEMS, METHODS, KITS, AND APPARATUSES FOR DIGITAL PRODUCT NETWORK SYSTEMS AND BIOLOGY-BASED VALUE CHAIN NETWORKS' filed by Strong Force VCN Portfolio 2019, LLC. The application covers AI/ML systems (G06N classifications) for digital product networks and supply chain management. The patent designates all EU member states plus other European countries including the UK, Switzerland, and Norway.

Classifying Data Objects Using Neighborhood Representations

The EPO published Google LLC's patent application EP4423668A1 on April 8, 2026. The patent covers methods and systems for classifying data objects using neighborhood representations in machine learning models. The application names inventors Oleg Golubitsky and Dake He, with designated states covering all EU member states plus additional European countries.

Stereo Networking Method and System, and Related Apparatus

EPO published patent application EP4287681A1 by Nokia Technologies Oy for a stereo networking method and system. The invention covers techniques for audio signal transmission and networking across devices using wireless protocols. The patent application was published on April 8, 2026, with inventors CHEN, Qihang and YANG, Peng. The application is classified under IPC categories including H04W (wireless communication), G06N (artificial intelligence/neural networks), and H04S (stereophonic systems).

Tree-Based Merge Conflict Resolution AI Transformer, Publication EP4469889A1

The European Patent Office published Microsoft Technology Licensing LLC's patent EP4469889A1 for a tree-based merge conflict resolution system using multi-task neural transformer architecture. The invention addresses automated conflict resolution in version control systems, classified under IPC G06N (AI/machine learning). The designated states include all EU member states plus several EEA and other European countries.

Capital One Secure Authentication Using Machine Learning

The European Patent Office published Capital One Services LLC's patent application EP4341836A1 for methods and systems facilitating secure user authentication based on known data using machine learning. The invention relates to training neural networks with known user information to authenticate users through facial recognition, behavioral patterns, and other biometric factors. The patent application covers designated European states including Germany, France, the United Kingdom, Italy, Spain, and other EU member states.

Computer-Implemented Method for Training Multi-Task Neural Network

EPO published patent application EP4437455A1 for a computer-implemented method for training multi-task neural networks. The patent names Sorbonne Université, CNRS, and Datakalab as applicants. The invention relates to G06N 3/04, G06N 20/20, and G06N 3/08 classifications and is designated across 31 European states including DE, FR, GB, IT, ES, NL, and others.

METHOD FOR THE AUTOMATED OPERATION OF A VEHICLE - EP4396799A1

The European Patent Office published patent application EP4396799A1 by Mercedes-Benz Group AG titled 'METHOD FOR THE AUTOMATED OPERATION OF A VEHICLE.' The patent relates to automated vehicle operation using machine learning (G06N classification). The application covers methods for autonomous driving control systems including neural network-based processing for vehicle automation.

Exponentially Smoothed Categorical Encoding to Control Access to a Network Resource - EP4457979A1

The EPO published patent EP4457979A1 titled 'Exponentially Smoothed Categorical Encoding to Control Access to a Network Resource' on April 8, 2026. The patent was granted to Kount Inc. and covers machine learning methods for exponentially smoothed categorical encoding used to control access to network resources. The designated states include most EU member states plus other European countries.

Huawei Federated Learning Patent EP4318338A1

The European Patent Office published Huawei Technologies Co., Ltd.'s patent application EP4318338A1 for federated learning methods, apparatus, computer-readable storage media, and computer program products. The patent covers G06N classifications including neural network training and distributed machine learning approaches. The designation covers multiple European states including Germany, France, the United Kingdom, Italy, and Spain.

Visa Entity Linking Using Subgraph Matching

The USPTO published patent application US20260099545A1 filed by Visa International Service Association for a system enabling entity linking through graph neural networks. The invention extracts attributes from unknown entities, generates graph representations, and matches them against known entity graphs using machine learning. The application, filed September 25, 2023 under application number 19115996, was published on April 9, 2026 with inventors Sheng Wang, Xutong Wang, Jie Yuan, Peng Wu, and Dan Wang.

Oracle Patent Application US20260099533A1 Topic Maps for Raw Content

USPTO published patent application US20260099533A1 assigned to Oracle International Corporation on April 9, 2026. The application covers techniques for receiving, storing, and analyzing raw text content using topic maps, including normalizing input text, identifying topics via tags, and generating topic maps referencing content items. Filing date was November 24, 2025; application number 19398208.

NEC Multi-Modal Machine Learning Encoding Device Patent Application

The USPTO published patent application US20260099722A1 filed by NEC Corporation on December 10, 2025, and made available on April 9, 2026. The application covers machine learning devices and methods that train encoding models for multiple sensor data types and use adversarial training to improve estimation accuracy. CPC classifications G06N 3/094 and G06N 3/045 indicate AI and neural network innovations. This is a publication of a patent application, not a granted patent.

Synthetic Corruption of Machine Learning Output

USPTO published patent application US20260099721A1 for a system and method enabling a corrupter module to synthesize qualified corrupt data for training machine learning safeguard models. The system receives first output data from a large language model, identifies entity-to-concept mappings in a domain ontology, and generates training data by replacing entities with alternative entities mapped to different ontological concepts that comply with predefined corruption rules. The trained safeguard model is configured to detect errors in subsequent language model outputs.

Big Data Intelligent Selection Design Method for Rockburst-Prevention Hydraulic Supports in Rockburst Roadways

The USPTO published patent application US20260099708A1 for a big data intelligent selection design method for rockburst-prevention hydraulic supports used in rockburst roadways. The invention uses machine learning and statistical analysis to identify key factors affecting hydraulic support performance based on geological conditions, rock mechanical properties, mine face layout, and historical usage and maintenance records. The system aims to improve selection accuracy and efficiency of rockburst-prevention hydraulic supports for mining safety applications.

Private Function Evaluation Using Machine Learning

USPTO published patent application US20260099704A1 for private function evaluation using machine learning. The invention covers systems and methods for training neural networks to approximate functions, generating shallow neural networks, and using secret sharing to enable private function evaluation without exposing inputs or function parameters.

Dimensionality Reduction of Neural Networks Intermediate Feature Maps Using Two-Dimensional Principal Component Analysis

USPTO published patent application US20260099700A1 on April 9, 2026, titled 'Dimensionality Reduction of Neural Networks Intermediate Feature Maps Using Two-Dimensional Principal Component Analysis.' The application discloses a method for reconstructing input matrices by decoding mean, principal components, and row projection matrices from a bitstream and using two-dimensional PCA for neural network feature map dimensionality reduction. Inventors include Afrabandpey, Aminlou, Rezazadegan Tavakoli, Zhang, and Hannuksela.

Deep Neural Network Multi-Terminal Logic Gates Patent

USPTO published patent application US20260099702A1 for a deep neural network circuit with multiple layers formed of multi-terminal logic gates. Inventor Fabio Lorenzo Traversa filed the application on December 11, 2025, under application number 19416277. The circuit includes logic gates arranged into layers with logical connectors between adjacent layers, where each connector has one of multiple states and can be trained to implement functions.

Capital One Patent: Trifurcated Prompts for AI Communication Processing

The USPTO published Capital One Services LLC's patent application US20260099519A1 on April 9, 2026, covering systems and methods for processing communications using trifurcated prompts with perturbed contexts for large language model interaction. The system receives inbound communications, determines context, applies perturbation models to generate alternative tokens, and constructs prompts for AI processing.

Techniques for Improved User Experience Prediction

The USPTO published patent application US20260099694A1 titled 'Techniques for Improved User Experience Prediction' filed on October 8, 2024. The application discloses a computer-implemented method that applies machine learning models to sequences of web pages and associated metrics data to generate user experience values using neural network embeddings and hidden layers.

Electronic Apparatus for Providing Recommendation Information and Operating Method Thereof

The USPTO published patent application US20260099696A1 filed by Visa on April 9, 2026, covering an AI recommendation system. The application (originally filed October 30, 2024, Application No. 18931310) describes an electronic apparatus using a trained artificial intelligence model with self-attention layers and inductive bias processing to derive recommendation information from sequential data patterns. Inventors include Noseong Park, Yehjin Shin, Jeongwhan Choi, and Hyowon Wi.

Bridging LLMs of Differing Sizes to Reduce Latency

USPTO published patent application US20260099528A1 by inventor Brett Barros for methods of reducing LLM latency by using a smaller LLM to generate immediate responses while a larger LLM produces refined content starting from the smaller model's output. The larger model generates a refined portion succeeding the initial content, which can then be rendered to the user. Alternative implementations use default text strings or predefined templates selected via natural language understanding of the user query.

Kinéis Petition for Reconsideration of FCC Regulatory Fee Assessment (MD Dockets 25-190, 24-85)

The FCC received a petition for reconsideration filed by David S. Keir on behalf of Kinéis, requesting the Commission reconsider its assessment and collection of regulatory fees for fiscal years 2024 and 2025. The petition relates to MD Docket Nos. 25-190 and 24-85, covering space and earth station regulatory fees. Oppositions to the petition must be filed by May 5, 2026, and replies to oppositions must be filed by May 15, 2026.

Reducing Barriers to Network Improvements and Service Changes

The FCC adopted a Report and Order (FCC 26-19) reducing regulatory barriers that hinder transition from legacy networks to IP-based infrastructure. The rule eliminates all filing requirements in the network change disclosure rules while requiring incumbent LECs to post public notice through industry fora, publications, or carrier websites. Direct notice to interconnecting carriers and 911 service providers remains required. State or local requirements conflicting with the federal framework are subject to preemption.

Cross DRX Group CSI Reporting, Qualcomm, EP4128898A1

EPO published patent application EP4128898A1 by Qualcomm Incorporated titled 'Cross DRX Group Channel State Information Reporting.' The invention relates to wireless communications techniques for Cross DRX Group CSI reporting. The patent application designates 31 European member states including DE, FR, GB, IT, NL, ES, and others. IPC classifications include H04W 76/15, H04W 76/28, H04W 52/02, and H04L 1/1607.

Mobile Device System and Method for Preventing Network Signal Interception and Hacking

The European Patent Office published patent application EP3510830A1 (publication date April 8, 2026) filed by Assac (S.Z.) Networks Israel Ltd, covering a mobile device system and method for preventing network signal interception and hacking. The patent application has been published with A1 designation (search report). The designated contracting states include all major European Patent Convention member states (DE, FR, GB, IT, ES, NL, BE, CH, etc.).

Cyclic Redundancy Check Length Management

The EPO published patent application EP3369199A1 for QUALCOMM Incorporated on April 8, 2026. The patent covers methods and apparatus for managing cyclic redundancy check (CRC) length in data communications networks. Inventors include CHEN, Wanshi, GAAL, Peter, and JI, Tingfang.

Microsoft IoT Pub-Sub Data Publisher European Patent Application EP3613198A1

The European Patent Office published Microsoft Technology Licensing LLC's European patent application EP3613198A1 for an Internet of Things pub-sub data publisher system. The invention covers H04L 67/125 and related classifications for IoT device data exchange. The patent application designates all relevant European member states including DE, FR, GB, IT, ES, NL, and others.

Network Tapestry Multiprotocol Integration Patent

The European Patent Office granted Umbra Technologies Ltd. European Patent EP3308504A2 for a system enabling multiprotocol integration across network architectures. The patent, classified under IPC H04L 9/40 covering cybersecurity and network security protocols, names Joseph E. Rubenstein as inventor. The designation covers 31 EPO contracting states including all EU member states plus additional European countries.

Oppo Data Transmission Patent EP3499756A1

The European Patent Office published patent application EP3499756A1 filed by Guangdong Oppo Mobile Telecommunications Corp., Ltd. The patent covers methods for transmitting data and associated receiving-end and transmitting-end devices. The application was published on April 8, 2026, with designated states covering all EU member states plus other European countries.

EP3635894A1 - Allocation of Acknowledgement Resources

The European Patent Office granted patent EP3635894A1 to Telefonaktiebolaget LM Ericsson (publ) on April 8, 2026. The patent covers methods and apparatus for allocating acknowledgement resources in communication networks (IPC H04L 1/18). The patent names Robert Baldemair, Erik Dahlman, Sorour Falahati, Daniel Chen Larsson, and Stefan Parkvall as inventors.

Information Processing Device, Resource Allocation System, and Resource Allocation Method

The EPO has published patent application EP3550766A1 from Yokogawa Electric Corporation titled 'Information Processing Device, Resource Allocation System, and Resource Allocation Method.' The application covers information processing techniques involving cryptography and resource allocation, with IPC classifications including H04L 9/16 and G06F 9/50. The patent is designated across all EPO member states.

CHANNEL ENCODING METHOD, CHANNEL ENCODING APPARATUS, CHIP SYSTEM AND STORAGE MEDIUM

Huawei Technologies Co., Ltd. has been granted European Patent EP3550746A1 for channel encoding methods, channel encoding apparatus, chip systems, and storage media. The patent, listing inventors Bin Li, David TSE, and Hui SHEN, was published on April 8, 2026. The patent is designated across all European states including AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LI, LT, LU, LV, MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, and TR.

Nokia Technologies Closed Loop Automation Patent, Published Apr 8

The European Patent Office granted Nokia Technologies Oy patent EP4323865A1 for mechanisms enabling integration of multiple closed loops within closed loop automation environments. The invention relates to networking systems (H04L classifications) and covers techniques for managing interdependent closed loop control mechanisms in telecommunications and network management systems.