Explore the 9,718 U.S. Patent Applications published on the 40th week of 2025, including 1,227 applications that subsequently received a Patent Grant.
GIANT SECOND HARMONIC GENERATION IN BULK MONOLAYER MOS2 THIN FILMS
A new type of thin film made from bulk monolayer MoS2 has been developed for better second harmonic generation (SHG). These films are created by stacking layers of MoS2 crystals and organic materials, which helps maintain their unique properties. The SHG performance of this new material is significantly improved, being 126 times stronger than regular monolayer MoS2 and 21 times stronger than the best known bulk semiconductor, GaAs. This advancement allows for the creation of thinner and more efficient devices that can be produced at a lower cost. Overall, this technology could lead to better optical devices in the future.
Published: 2025-10-02 Assignee: DISNEY ENTERPRISES, INC., ETH Zürich (Eidgenössische Technische Hochschule Zürich).
SUBJECT-AGNOSTIC FACE SWAPPING WITH LOW-RANK ADAPTATION
A method creates a new image by swapping faces between two pictures. First, it identifies the facial features of each person in the images. Then, it adjusts these features using special weights to ensure a smooth transition. After making these adjustments, the method generates a new image that combines the faces. The final result shows one person's face on the body of another.
Published: 2025-10-02
ORAL HYGIENE SYSTEM FOR COMPLIANCE MONITORING AND TELE-DENTISTRY SYSTEM
An oral hygiene system helps keep track of how well someone is brushing their teeth. It uses sensors to monitor the movement and angle of a toothbrush while it's being used. By analyzing this data, the system can tell if the toothbrush is in the right position and how it's being used. Machine learning is applied to recognize different brushing techniques and actions. This technology can also support remote dental consultations, making it easier for dentists to check on patients' oral care.
Published: 2025-10-02 Assignee: ELECTRONIC ARTS INC..
NEURAL SEMANTIC 3D CAPTURE WITH NEURAL RADIANCE FIELDS
A three-dimensional (3D) model can be created by using multiple two-dimensional (2D) images taken from different angles and positions. Each image is linked to a specific camera angle and position. Semantic masks are generated from these images to identify different objects in the scene. A neural radiance field (NeRF) model is then trained with the 2D images and semantic masks to learn about the objects. The result is a trained NeRF model that represents a 3D version of the objects in the scene.
Published: 2025-10-02 Assignee: PRINCETON SATELLITE SYSTEMS, INC..
ANTERIOR CRUCIATE LIGAMENT PROTECTOR
A knee brace system uses special sensors to monitor movements and muscle activity in real-time. It analyzes this data to spot risky movements that could lead to injuries in the knee ligaments. If a high risk is detected, the system can alert the user or adjust the brace to lessen stress on the knee. The technology can learn and adapt to individual users, ensuring it remains effective over time. This system is useful for athletes, dancers, and people in rehabilitation, helping them perform better and recover safely while reducing injury risks.
Published: 2025-10-02 Assignee: AT&T Intellectual Property I, LP.
DYNAMIC TIME DIVISION DUPLEX CONFIGURATION POWERED BY ARTIFICIAL INTELLIGENCE / MACHINE LEARNING
A user device connects to a radio communication network and registers its presence. The network then chooses a starting time division duplex (TDD) setup for this device. Information about this setup is sent to the device, allowing communication to begin. If something changes in the device's situation, the network can select a new TDD setup based on that change. Finally, the updated configuration is communicated to the device for continued interaction with the network.
Published: 2025-10-02 Assignee: FUJITSU LIMITED, Carnegie Mellon University.
GROUNDED HUMAN MOTION GENERATION WITH OPEN VOCABULARY SCENE-AND-TEXT CONTEXTS
A method is designed to create human movements based on a scene and text instructions. It starts by taking a 3D model of a scene that includes an object and a related text command. The text is processed to extract important features, while the 3D model is analyzed to gather scene details. These features are combined to help predict how a human figure should move in relation to the scene and instruction. Finally, the method produces 3D models of the human in various poses over time.
Published: 2025-10-02 Assignee: AUTEX INDUSTRIES LIMITED.
RECYCLABLE ARCHITECTURAL ACOUSTIC PRODUCTS AND SUSPENSION THEREOF
An acoustic architectural product is designed to reduce noise and is fully recyclable. It is made from materials that can be reused without needing to take it apart. The product includes special clips or connectors made from PET that help hold everything together. It also has a suspension system that allows it to be hung up without needing extra support. This makes it easy to install and environmentally friendly.
Published: 2025-10-02 Assignee: MASSACHUSETTS INSTITUTE OF TECHNOLOGY, THE BROAD INSTITUTE, INC..
CRISPR-CAS COMPONENT SYSTEMS, METHODS AND COMPOSITIONS FOR SEQUENCE MANIPULATION
CRISPR-Cas systems allow scientists to change specific sequences in DNA. These systems include special tools called vectors that help deliver the CRISPR components into cells. By using these vectors, researchers can design and create CRISPR complexes that work effectively in eukaryotic cells, which are cells with a nucleus. The technology also enables the selection of particular cells by making exact changes to their DNA. Overall, this method provides a powerful way to edit genes and study their functions.
Published: 2025-10-02 Assignee: TOKYO ELECTRON LIMITED.
APPARATUS AND METHOD FOR DETECTING AND MONITORING OBJECTS IN A FLUID BATH AND ADJUSTING THE FLUID BATH BASED ON THE MEASURED OBJECT PROPERTIES
An apparatus and method are designed to detect and monitor objects, like bubbles, in a fluid used during semiconductor processing. It tracks these objects over time using video data to gather important information about them. This information helps improve the accuracy of tracking and connects the processing parameters to the quality of the wafers produced. By understanding this connection, adjustments can be made to the processing parameters to enhance wafer quality. Overall, the system aims to optimize semiconductor manufacturing by continuously monitoring and adjusting based on object properties.