Patent Applications published on Apr 17, 2025

Explore the 6,739 U.S. Patent Applications published on the 16th week of 2025, including 1,205 applications that subsequently received a Patent Grant.

Featured patent applications from Apr 17, 2025

Published: 2025-04-17 Assignee: ModernaTX, Inc..
US20250121221A1
Human necessities
Application 20250121221, fig. 02

BETACORONA VIRUS mRNA VACCINES

mRNA vaccines are a type of vaccine that uses genetic material to help the body fight off viruses. These specific vaccines target betacoronaviruses, which include viruses like SARS-CoV-2. They are made using lipid nanoparticles, which are tiny particles that help deliver the RNA into cells. The vaccines can be used alone or in combination with other vaccines for better protection. Overall, this technology aims to improve how we prevent and treat infections caused by certain viruses.

Published: 2025-04-17
US20250120416A1
Human necessities
Application 20250120416, fig. 01

NON-ANIMAL-BASED WHOLE-CUT FOOD PRODUCTS

Non-animal-based food products are designed to look and feel like real cuts of meat. They are made from aligned fibers that are less than 500 micrometers in diameter and consist of plant-based proteins. A binding agent helps hold these fibers together in the food product. Some versions also include a special structure with membranes that create a three-dimensional shape, made from non-animal proteins. Additionally, a gelling agent, which contains water and plant-based ingredients, fills the spaces in this structure to enhance texture.

Published: 2025-04-17
US20250123678A1
Physics
Application 20250123678, fig. 01

CROSS-REALITY DEVICE, STORAGE MEDIUM, PROCESSING DEVICE, GENERATION METHOD, AND PROCESSING METHOD

A cross-reality device combines three main parts: an imaging device, a display device, and a processing device. The imaging device takes pictures to recognize a person's hand. The display device shows a virtual environment where users can interact. When a person gives a command, the processing device creates an object in that virtual space. It can also adjust the object's position and size based on how the person moves their hand.

Published: 2025-04-17 Assignee: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD..
US20250124651A1
Physics
Application 20250124651, fig. 01

METHOD AND APPARATUS FOR GENERATING 3D SCENE BASED ON LARGE LANGUAGE MODEL, ELECTRONIC DEVICE, AND STORAGE MEDIUM

A new method creates 3D scenes using a large language model (LLM). It starts by analyzing a description of the desired 3D scene to extract important labels. Then, it generates a query to find matching assets, which include objects, materials, and attributes needed for the scene. The LLM helps gather all these elements together. Finally, the method combines everything to produce the complete 3D scene.

Published: 2025-04-17 Assignee: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD..
US20250124680A1
Physics
Application 20250124680, fig. 01

DIGITAL HUMAN GENERATION METHOD, PLATFORM, ELECTRONIC DEVICE AND STORAGE MEDIUM

A method has been developed to create digital humans using advanced technologies like augmented reality and deep learning. It starts by taking a picture of the person who will be turned into a digital human. Then, it finds important features of the person's head from a special library of features. Finally, these features are combined with a model of the target person to create a realistic digital human figure. This technology can be used in virtual environments like the metaverse.

Published: 2025-04-17 Assignee: T-MOBILE USA, INC..
US20250124668A1
Physics
Application 20250124668, fig. 01

EXTENDED REALITY (XR) MODELING OF NETWORK USER DEVICES VIA PEER DEVICES

Network subscriber devices can create virtual models of other devices in a real-world setting using extended reality (XR). This makes it seem like users are holding and interacting with these virtual devices. Users can move their fingers to make inputs on the simulated device, which changes what is displayed on it. Information about the devices is also shown in this XR experience. This technology helps users learn about available devices on a network and allows them to acquire the ones they see in the simulation.

Published: 2025-04-17 Assignee: Magic Leap, Inc..
US20250124802A1
Physics
Application 20250124802, fig. 01

INDIVIDUAL VIEWING IN A SHARED SPACE

A mixed reality environment allows several people to share and view virtual objects together. Users wear special display devices to see these virtual items in a common space. A presenter can control what everyone sees and guide them through the information related to the virtual object. Different viewing modes let each user see unique content, even while in the same area. Alternatively, users can view the same content from different spots within that shared space.

Published: 2025-04-17
US20250124810A1
Physics
Application 20250124810, fig. 01

SYSTEM AND PROGRAM FOR COGNITIVE SKILL TRAINING

A new system helps improve cognitive skills through personalized training. It uses a game-based virtual learning program that focuses on developing important mental abilities, like attention and self-control. The training is designed to be effective and quick, making it easier for users to learn and retain these skills. Measurable cognitive skills are identified, and the game mechanics are tailored to enhance learning. This system allows parents, teachers, and professionals to track progress and manage the training process to achieve specific goals.

Published: 2025-04-17 Assignee: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD..
US20250124679A1
Physics
Application 20250124679, fig. 01

METHOD AND APPARATUS FOR TRANSFERRING FACIAL EXPRESSION OF DIGITAL HUMAN, ELECTRONIC DEVICE, AND STORAGE MEDIUM

A method and system have been developed to transfer facial expressions from digital humans to virtual objects. It uses a library of reference models to find a match for the target model. Once the right model is identified, it accesses an expression library specific to that model. The last frame of the chosen expression is then applied to the virtual object. This technology can be used in areas like augmented reality and the metaverse.

Published: 2025-04-17
US20250124653A1
Physics
Application 20250124653, fig. 01

PERSONALIZED MACHINE-LEARNED MODEL ENSEMBLES FOR RENDERING OF PHOTOREALISTIC FACIAL REPRESENTATIONS

Video data of a user's face is collected and analyzed using several advanced machine-learning models. These models work together to create a highly realistic 3D representation of the user's face. One model focuses on building a detailed mesh structure, while another generates textures that match the user's skin. Additional models provide insights into the deeper layers of facial anatomy. The system improves its accuracy by evaluating how well the outputs match the desired results.