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Recent changes
NCSC CEO Urges AI Coding Safeguards for Secure Software
The UK's National Cyber Security Centre (NCSC) CEO, Dr. Richard Horne, is urging the international security community to develop safeguards for AI-generated code ('vibe coding'). While acknowledging the risks of propagating vulnerabilities, the NCSC highlights the opportunity to improve software security by design through well-trained AI tools.
Hampton v. Publix: Summary Judgment Granted in Part, Denied in Part
The U.S. District Court for the Northern District of Georgia granted in part and denied in part Publix Super Markets, Inc.'s motion for summary judgment, and granted Maplebear Inc.'s motion for summary judgment in this personal injury action. The court issued its opinion and order on March 23, 2026.
USPTO Patent US12586184B2: Pathology Pattern Analysis via Graph Deep Learning
The USPTO has granted patent US12586184B2 to Seoul National University R&DB Foundation for a method and apparatus analyzing pathology patterns of whole-slide images using graph deep learning. The patent describes techniques for compressing images, analyzing them with graph neural networks, and extracting diagnostic information.
Samsung Granted Patent for Image Orientation Correction
The USPTO has granted Samsung Electronics Co., Ltd. a patent for a method and system for image orientation correction using machine learning trained via federated learning. This technology aims to improve image tilt correction while maintaining user data privacy.
Dell Patent for Training Image Processing Model
The USPTO has granted Dell Products L.P. a patent (US12586152B2) for a method, electronic device, and computer program product for training an image processing model. The patent details a process involving folding weights of convolutional layers and training the model with sample images of varying resolutions.
USPTO Patent Granted for Network Content Generation Methods
The USPTO has granted a patent to Stripe, LLC for systems and methods facilitating network content generation using a dynamic multi-model approach. This patent covers the use of machine learning and heuristic models to predict user behavior and generate personalized content.
USPTO Patent Grant for Autonomous Vehicle Anomaly Detection
The USPTO has granted patent US12586478B2 to Wing Aviation LLC for an unsupervised anomaly detection system for autonomous vehicles. The patent covers techniques using machine learning models trained on time series data to identify and respond to anomalies, enhancing the safety and reliability of autonomous systems.
USPTO Patent for Object Classification in Autonomous Systems
The USPTO has granted patent US12586365B2 to NVIDIA Corporation for an object classification system using multilabel and hierarchical classification for autonomous systems. The patent describes methods utilizing neural networks to classify objects based on attributes and class labels, enhancing final classification accuracy.
Adobe Patent for Image Personalization using Diffusion Model
The USPTO has granted Adobe Inc. a patent (US12586364B2) for a system that personalizes images using a diffusion model and a style encoder. The patent covers methods for generating synthetic images that incorporate a target style identified from a style image.
USPTO Patent Grant: Synthetic-to-realistic Image Conversion using GANs
The USPTO has granted patent US12586359B2 to Raytheon Company for a method of synthetic-to-realistic image conversion using generative adversarial networks (GANs) or other machine learning models. The patent covers training methods for improving image generation quality.
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