European Union

EPO Patent Grant EP4235671B1: Neural Network Current to Time Pulse System

The European Patent Office has granted patent EP4235671B1 for a system converting neuron current to time pulses in analog neural memories for deep learning artificial neural networks. This patent is effective March 18, 2026, and applies to designated states within the European Union.

Attention-Based Decoder-Only Sequence Transduction Neural Networks Patent Grant

Attention-Based Decoder-Only Sequence Transduction Neural Networks Patent Grant

EPO Patent Application: Method for Encrypting Neural Network Model Operators and Data

The European Patent Office has published a patent application detailing a method for encrypting neural network model operators and data. The application, filed by XG TECH PTE. LTD., aims to improve the security of neural networks while reducing decryption time.

EPO Patent Grant: Trapped-Ion Quantum Information Processing Architecture

The European Patent Office has granted patent EP4370972B1 for a dual-space, single-species architecture for trapped-ion quantum information processing. This patent, effective March 18, 2026, covers innovations in quantum computing architecture.

Patent EP4575931B1: Hybrid DFT on Quantum Processors for Chemical Simulation

The European Patent Office has granted patent EP4575931B1 for a method of implementing hybrid density functional theory on quantum processors for chemical compound simulation. The patent, granted on March 18, 2026, details advancements in computational chemistry and quantum computing applications.

Huawei Cloud Patent: Model Inference Method

The European Patent Office has published patent application EP4711986A1 by Huawei Cloud, detailing a model inference method. This method aims to improve data security and inference efficiency by having clients and servers process different parts of user data separately.

Method for training machine learning model using selected data

Method for training machine learning model using selected data

EPO Patent Application: Method for Correcting Ground Truth Labels in Training Datasets

The European Patent Office has published patent application EP4711990A1 detailing a method for correcting ground truth labels in training datasets for machine learning models used in computer vision tasks. The application, filed by AUMOVIO Germany GmbH, describes a process involving training a model, modifying sample images, obtaining predicted labels, and then correcting the ground truth labels based on a comparison.

EPO Patent Grant: Voice Command Intent and Slot Identification System

The European Patent Office has granted patent EP4381499B1 for a system and method for simultaneously identifying intent and slots in voice assistant commands. This patent, effective March 18, 2026, covers innovations in natural language processing for voice interfaces.

EPO Grants Patent for Stroke Prediction Supermodel

The European Patent Office has granted patent EP4460238B1 for a stroke prediction supermodel. The patent, effective March 18, 2026, covers a multi-architecture stacked ensemble model developed by Krag Browder and Ezekiel Fink.