SYNTHESIS OF SPEECH FROM TEXT IN A VOICE OF A TARGET SPEAKER USING NEURAL NETWORKS

A new technology allows computers to create speech from written text using the voice of a specific person. First, it captures the voice of the target speaker to understand their unique sound. Then, it takes the text that needs to be spoken and creates a special code that represents the target speaker's voice. Next, this technology generates audio that sounds like the target speaker reading the text. Finally, it outputs this audio so that it can be listened to, making it sound just like the chosen person.

DIGITAL ASSISTANT USING GENERATIVE ARTIFICIAL INTELLIGENCE

A digital assistant can be created using advanced artificial intelligence that generates responses. Users provide a natural language request along with possible agents and actions. The system then creates a plan to carry out the requested actions based on the user's input. After executing the plan with the specified agents, it generates a response to the user's request. This process involves two different AI models working together to understand and respond effectively.

SCENE GENERATION USING NEURAL RADIANCE FIELDS

New technology can create images of different environments. It uses special computer programs called neural networks to recognize both still and moving parts of a scene. These features help to build a detailed picture of the environment. The system can generate realistic representations based on the information it gathers. Overall, it makes it easier to visualize places in a lifelike way.

DIGITAL ASSISTANT USING GENERATIVE ARTIFICIAL INTELLIGENCE

A digital assistant can be improved by using generative artificial intelligence to create special agents. These agents act like containers that perform specific tasks based on what the user wants. Users can provide instructions in natural language, which helps define how the agent should work. Information about the tasks and features is then added to the agent, allowing it to perform the defined actions. Finally, a document is created to describe the agent and its functions, which is saved for future use by the digital assistant.

WINDOW-INTEGRATED TRANSPARENT PHOTOVOLTAIC MODULE

A new type of window can generate electricity while still letting light in. It has two glass panes with a special device on one of the inner surfaces that captures energy from sunlight. This device is designed to allow visible light to pass through but absorbs ultraviolet and near-infrared light to create power. There may also be a space between the glass panes to improve efficiency. Additionally, the window can include extra layers that help control heat and light, making it even more functional.

BRAIN-COMPUTER INTERFACE WITH ADAPTATIONS FOR HIGH-SPEED, ACCURATE, AND INTUITIVE USER INTERACTIONS

A brain-computer interface connects a person's brain activity and eye movements to control devices or applications. It uses real-time tracking to make interactions faster and more accurate. The system is designed to be user-friendly, allowing people to manipulate technology easily. It works with different types of hardware, meaning it can be used with various devices. Overall, this technology aims to improve how humans interact with machines.

INTELLIGENT ELECTRONIC FOOTWEAR AND CONTROL LOGIC FOR EXECUTING AUTOMATED FOOTWEAR FEATURES

Intelligent electronic footwear is designed to automatically perform certain features based on user commands. The shoe has a part that fits on the foot and a sole that supports it. An alert system built into the shoe can send signals to notify the wearer of important information. It also includes a wireless device that connects to a remote computer, allowing it to receive location data. If the wearer is near a specific location, the shoe can send alerts to inform them or their vehicle.

Methods and systems for prompt-based image editing

A method allows users to edit images by selecting a specific area and providing an editing instruction. First, the image is transformed into a random visual pattern, called noise. Then, based on the noise and the instruction, a new image is predicted. Portions of this predicted image are combined with the original to create an updated version. Finally, the edited image retains the original details in the selected area while applying changes to the rest.

USER PREDICTIVE MENTAL RESPONSE PROFILE AND APPLICATION TO AUTOMATED BRAIN INTERFACE CONTROL

A system monitors a user's eyes using special cameras to capture images. It analyzes these images to find patterns in eye movements that happen before unusual events occur around the user. When it identifies these patterns, the system updates a profile that predicts how the user might respond to similar situations in the future. This updated profile helps computers anticipate upcoming unusual events based on the user's eye movements. Finally, the system can take actions to change the environment based on these predictions.

IInteraction of Multimodal Behavior Models with Natural Language Prompts

An integrated system uses sensor data from various devices in a physical space to detect important events. It then receives a natural language prompt, which is a request or question in everyday language. The system combines the information from the sensors with the prompt using a large behavior model. This process creates different types of outputs, like text, images, videos, or user interfaces. The final result shows information related to the detected events in an easy-to-understand format.