System and Method for Providing Virtual Reality Experiences with Famous Personalities

A new system allows people to have interactive experiences with famous personalities using virtual reality (VR) and artificial intelligence (AI). Users can choose their favorite personalities and virtual settings through an easy-to-use interface. The system gathers information to create a realistic and engaging VR experience tailored to each person’s preferences. It also combines elements of the real world with the virtual experience, making it more immersive. Additionally, users can record their interactions, offering a fun and personalized way to connect with celebrities without needing heavy VR equipment.

AUGMENTING ARTIFICIAL INTELLIGENCE PROMPT DESIGN WITH EMOTIONAL CONTEXT

A user provides a prompt to a generative AI, but additional information about their emotional state is also collected. Sensors gather various types of data, like audio and video, to understand how the user feels. Machine-learning models analyze this data to determine the user's emotions. This emotional context is then added to the original prompt, making it more informative. As a result, the AI can respond better by recognizing both what the user says and how they feel, similar to how people communicate with each other.

INTELLIGENT VIRTUAL ASSISTANT FOR COMMUNICATION MANAGEMENT AND AUTOMATED RESPONSE GENERATION

An intelligent virtual assistant helps manage conversations between people in text chats. It uses advanced technology to understand and respond to messages naturally. This assistant can help with tasks, answer questions, and even resolve arguments between chat participants. It acts like a mediator or counselor to improve communication. Overall, it makes chatting easier and more efficient for everyone involved.

FACIAL ANIMATION USING EMOTIONS FOR CONVERSATIONAL AI SYSTEMS AND APPLICATIONS

Facial animation can be improved by separating different parts of the face during animation. This technique uses advanced neural networks to create realistic facial movements based on spoken audio. The lower part of the face responds to the audio, while the upper part reflects the speaker's emotions. To make the expressions more lively, a special training method is used to ensure that the emotions appear genuine. Overall, this approach enhances how animated characters express feelings during conversations.

Mood- and Mental State-Aware Interaction With Multimodal Large Language Models

A system uses large language models (LLMs) to understand and respond to users' emotions quickly, within 500 milliseconds. It analyzes how users feel by looking at their messages, facial expressions, and voice tone. This helps create a more engaging and empathetic interaction between the user and the system. The LLM considers the user's mood when they give input, how they react to previous responses, and the sentiment of those responses. Overall, the goal is to make conversations feel more supportive and understanding.

NEURAL RENDERING OF MAKEUP BASED ON IN VITRO COSMETIC ANALYSIS

A new method allows computers to apply makeup to images based on real-life cosmetic analysis. First, the system analyzes a reference image of makeup to create a set of descriptors that capture its features. Then, it uses these descriptors to apply the same makeup style to a different input image. The result is a rendered image that shows how the makeup would look on the new image. Finally, this rendered image can be displayed on a screen for users to see.

INTERFACES, SYSTEMS AND APPARATUSES FOR CONSTRUCTING 3D AR ENVIRONMENT OVERLAYS, AND METHODS FOR MAKING AND USING SAME

This technology allows users to create 3D augmented reality (AR) environments that are layered over real images. First, an image is captured and shown on a screen. Next, the system scans the image to identify objects and their features. It then generates a 3D AR space on top of the image, which includes virtual items that relate to what is seen in the image. Users can interact with these virtual items by selecting, activating, or moving them around in the AR environment.

SYSTEMS, METHODS, AND MEDIA FOR PREVENTING COUNTERFEITING USING NON-FUNGIBLE TOKENS

A physical item is created with a special ID tag that can be recognized by a device. This item is linked to a digital version that includes important information and is secured by a non-fungible token (NFT). The NFT is stored on a blockchain, which helps keep it safe and unique. When the ID tag is scanned by the device, it shows the digital version of the item on its screen. This system helps prevent counterfeiting by ensuring that each physical item has a corresponding secure digital identity.

INTERACTIVE DISPLAY SURFACES

Touch-responsive displays can be placed under various non-transparent surfaces, making them blend seamlessly into the environment. These displays only become visible when activated, allowing for digital interfaces on everyday objects. The design consists of three main parts: a sensor layer, a light layer, and a support layer that contains a microcontroller. This setup allows the display to be hidden beneath the surface while still being functional. As a result, users can interact with technology in a more integrated and unobtrusive way.

Enhanced Aerobic Fermentation Methods for Producing Edible Fungal Mycelium Blended Meats and Meat Analogue Compositions

New methods have been developed to create protein-rich food ingredients using fungi. These ingredients are made from cultured fungal biomass and contain very little water. They can be stored for a long time without spoiling, making them convenient for transportation and delivery. The resulting products can be used to make blended meats and meat alternatives. This innovation helps provide sustainable protein options for consumers.