FOLDABLE DEVICE

A foldable device has a flexible screen made up of three parts: the first part, the second part, and a middle part. The body of the device supports these screen parts with different sections. The middle section has two wings that can rotate, allowing the device to fold easily. This design helps the device to be compact and portable. Overall, it combines flexibility and support for a better user experience.

ARTIFICIAL INTELLIGENCE DRIVEN PRESENTER

A system helps create presentations by gathering slides and a transcript. It also collects information about the desired presentation style. Using this information, it rewrites the transcript to make it sound more conversational. Then, it generates audio and visual content featuring a virtual presenter that matches the new transcript. Finally, this content is sent to users who are watching the presentation.

ADAPTIVE SPEECH REGENERATION

An audio transformation model is used to recreate speech signals from a person’s voice. First, it captures the audio of someone speaking and breaks it into smaller parts. Then, these parts are processed to create two types of representations: one that describes the unique qualities of the person's voice and another that captures the words they said. Each word is linked to specific context or meaning. Finally, the model combines this information to regenerate the original speech signals of that person.

System and method for cross-domain and cross-linguistic knowledge-reinforced user servicing

A metaverse session is created for a user, represented by an avatar, along with a virtual advisor avatar. When the user asks a question using their voice, the system identifies their preferred language and the topic of the question. If the system has an answer that matches both the topic and the user's language, it retrieves that information. The response is then converted into spoken words in the user's preferred language. Finally, the virtual advisor avatar communicates this answer back to the user.

Dynamic Interfaces Created Using Generative Artificial Intelligence

A system can take spoken or written questions and commands from users. It uses a special type of AI to understand these inputs. Then, the AI creates different parts of a user interface based on what it learned from the input. This means the interface can change dynamically to fit the user's needs. Overall, it makes interacting with technology easier and more intuitive.

Virtual Reality (VR)-Enhanced Motion Platform, Experience Venue For Such Motion Platform, And Experience Content And Interactivity Ecosystem

A new system combines a physical arena with motion platforms and virtual reality headsets to create an exciting experience. Users wear VR headsets while on the motion platforms, allowing them to feel like they are part of a virtual world. The arena is connected to a server that manages the motion platforms and links to a global server for broader interaction. Additional features include spaces for creators, audience engagement, and a sales system that all connect through the global server. A blockchain is also included to track assets and manage revenue from unique digital items called NFTs.

WIRELESS, CONTINUOUS MONITORING OF DAILY STRESS AND MANAGEMENT PRACTICE VIA SOFT BIOELECTRONICS

A device is designed to monitor stress levels by being placed on a person's skin. It uses a special medical film that sticks to the skin and has sensors that measure body signals. The device includes flexible wires and an electronic circuit that processes the data from the sensors. It converts the information into digital form and saves it for later use. This data can then be sent to another device, allowing for continuous tracking of stress and management practices.

SYSTEMS AND METHODS FOR AN ARTIFICIAL INTELLIGENCE (AI) LANGUAGE MODEL-ENABLED INTERACTIVE NARRATIVE ENGINE

An interactive narrative engine uses AI to create engaging stories based on what users say. It has a special module that listens to user input and figures out what the user wants. Once it understands the user's intent, it processes that information to decide how to respond. The AI language model then takes this outcome and generates a reply or continuation of the story. This system allows for a more personalized and interactive storytelling experience.

MULTI-MODAL DATA-STREAM-BASED ARTIFICIAL INTELLIGENCE INTERVENTIONS IN A VIRTUAL ENVIRONMENT SYSTEM AND METHOD

An advanced video conferencing system has been developed for virtual meetings. It uses artificial intelligence and machine learning to understand the emotions of participants, like boredom or happiness. By analyzing audio, visual cues, and other data, the system can identify how people are feeling during the call. When it detects certain emotions, it can make changes to encourage better participation or re-engage people, such as altering the camera angle or changing the virtual background. The type of intervention can vary based on the context of the meeting, whether it's a formal business discussion or a casual get-together.

SELF-LEARNING SYSTEMS AND METHODS FOR DIGITAL CONTENT SELECTION AND GENERATION USING GENERATIVE AI

A system uses artificial intelligence to create and choose digital content for specific groups of customers. It focuses on small segments of customers who are likely to respond positively to certain offers. By grouping customers based on similar traits, the system saves memory and resources. It can automatically generate personalized content, like tailored offers and images, for these targeted groups. Additionally, the system learns from past campaigns to make future efforts even better.