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Network Telemetry Mirroring, Higher Resolution Signals

USPTO published patent application US20260100896A1 by inventors Sandhaus, Shalikashvili, and Binshtock, disclosing methods to combine multiple telemetry data signals from network devices to generate higher resolution signals. The application relates to network monitoring and status determination through combined telemetry processing. The filing date was December 10, 2025, and the application number is 19414755.

Time-Domain Channel Property Reporting Method and Apparatus for Wireless Communications

The USPTO published patent application US20260100794A1 for a time-domain channel property (TDCP) reporting method. The invention enables wireless devices to report channel correlation measurements using tracking reference signals (TRS) over physical uplink channels. The application was filed on September 25, 2023, by inventors Ahmed Hindy and Vijay Nangia.

Ericsson Uplink Beam Management Multiple Antenna Panels Patent Application

USPTO published patent application US20260100793A1 filed by Telefonaktiebolaget LM Ericsson on January 10, 2023. The application discloses methods for uplink beam management enabling wireless devices to simultaneously transmit and receive from multiple antenna panels. The invention allows devices to indicate multi-panel capability to networks and configure uplink reference signals across different antenna groups.

PUSCH Multi-TRP Scheduling with UL TCI Indication

The USPTO published patent application US20260100789A1 disclosing systems and methods for Physical Uplink Shared Channel (PUSCH) multi-Transmission/Reception Point (TRP) scheduling with Uplink Transmission Configuration Indicator (UL TCI) indication. The application covers wireless device procedures for obtaining TCI state configurations, activating/deactivating subsets of configured TCI states, and mapping indicated TCI states to transmission occasions or repetitions. When two TCI states are indicated, the wireless device transmits two different PUSCHs each corresponding to one indicated TCI state; when one TCI state is indicated, the device transmits a single PUSCH.

Wireless HARQ Feedback Repetition for Random Access Procedures

Koninklijke Philips N.V. filed patent application US20260100785A1 covering wireless devices and methods for hybrid automatic repeat request (HARQ) feedback repetition in random access procedures. The invention enables devices to dynamically determine repetition numbers for HARQ feedback and preamble transmissions based on reference signal received power thresholds. The application was published on April 9, 2026, with a filing date of December 2, 2025.

Machine Learning Model Training Using Randomized Solutions to Find Global Minimum

The USPTO published patent application US20260099758A1, filed October 4, 2024, for a machine learning technique that identifies global minimums across local minimums. Inventors Bikramaditya Padhi and Ramprasadh Kothandaraman disclosed an application server method using randomized solutions and threshold-based evaluation to optimize model training.

Methods and Apparatus to Process Training Data for an AI-Based Model

The USPTO published patent application US20260099759A1 by Niall Fitzgerald, covering methods and apparatus for processing AI training data using feature transformation, hash signature generation, and clustering techniques. The application relates to apparatus comprising interface circuitry and programmable circuits to filter training data clusters and train AI-based models. The application was filed on October 4, 2024, and published on April 9, 2026.

Hardware and Parameter-Aware ML Model GPU Efficiency Tuning Systems

USPTO published patent application US20260099757A1 for hardware and parameter-aware machine learning model GPU efficiency tuning systems. The application includes claims for methods and systems that receive ML training requests with fixed and dynamic configurations, generate task embeddings, train prediction modules on known configurations, and return optimal training efficiency configurations based on model utilization scores. Inventors include Pin-Lun Hsu, Vignesh KOTHAPALLI, Animesh SINGH, Qingquan SONG, Yun DAI, and Shao TANG. Filing date was October 4, 2024, with application number 18906517.

Quantum Circuit Optimization via Coordinate-Descent Method

Quantum Circuit Optimization via Coordinate-Descent Method

Quantum Error Mitigation for Probability Distributions

The USPTO published patent application US20260099753A1 for a quantum computing system that performs error mitigation on probability distributions obtained from quantum circuit observables. The system executes multiple shots of a quantum circuit to obtain noise probabilities, determines expectation values, performs error mitigation, and transforms results into error mitigated probability distributions. The application was filed on October 9, 2024.