EPO Patent: Machine Learning for Wireless Communication Non-linearity

The European Patent Office has published a patent application by QUALCOMM Incorporated detailing the use of machine learning, specifically neural networks, to address non-linearity in wireless communication transmit power amplifiers. The patent describes methods for encoding and decoding transmit waveforms to compensate for distortion errors.

EPO Patent Application EP4657835A3 - AI/ML Model Distribution

The European Patent Office has published patent application EP4657835A3 concerning AI/ML model distribution. The application, filed by InterDigital CE Patent Holdings, SAS, details methods for downloading AI/ML model portions via device-to-device communication.

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.

Quantum State Transmission Method Patent

The European Patent Office has published patent application EP4711989A1 by the Korea Institute of Science & Technology Information. The patent describes a method for transmitting quantum states, potentially impacting future quantum communication technologies.

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.

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.

Method for training machine learning model using selected data

Method for training machine learning model using selected data

EPO Patent EP4498271C0: Machine Learning Breach Prediction

The European Patent Office has published patent EP4498271C0 concerning machine learning for breach prediction. This patent, granted to inventors Deepen Desai, Dianhuan Lin, and Rex Shang, is effective March 18, 2026, and applies to designated states within the European Union.

EPO Patent Granted: Breach Prediction via Machine Learning

The European Patent Office has granted patent EP4498271B1 for a method of breach prediction using machine learning. The patent, which lists Deepen Desai, Dianhuan Lin, and Rex Shang as inventors, was granted on March 18, 2026. This grant pertains to advancements in AI and computing, specifically within the G06N classification.

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

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