AI News – June 22, 2023

Google’s Generative AI for Clothes Shopping

Google has developed a new generative AI model that can create virtual clothing items for online shoppers. The model, trained on a dataset of 50,000 3D clothing models, can generate a wide range of clothing items, including those that don’t exist in the physical world. This technology could revolutionize the online shopping experience, allowing users to virtually try on clothes and see how they would look in different styles and colors. Read more: Wired

AI Creates New Beatles Song in the Style of Paul McCartney

Researchers have used AI to create a new Beatles song in the style of Paul McCartney. The AI model was trained on the Beatles’ discography and was able to generate a song that closely resembles the band’s unique style. This demonstrates the potential of AI in the music industry, not only for creating new compositions but also for preserving and continuing the legacy of iconic artists. Read more: Tech Xplore

Meta’s AI MusicGen Transforms Text into Music

Meta has developed an AI model called MusicGen that can transform text into music. The model can generate a full composition, including melody, harmony, and rhythm, based on a few lines of text. This technology could open up new possibilities for music creation, making it more accessible to people without musical training. Read more: Tech Xplore

AI Improves Accuracy of Song Recognition

A new AI model has been developed that can recognize songs with high accuracy. The model was trained on a large dataset of songs and can identify a song based on a short audio clip. This technology could be used in music streaming platforms to improve song recommendation algorithms and enhance the user experience. Read more: Tech Xplore

Meta’s i-JEPA Learns High-Level Abstractions from Images

Meta has released a new machine learning model called i-JEPA that can learn high-level abstractions from images. The model can understand complex visual concepts and generate a detailed description of an image. This technology could be used in various applications, including image search, content moderation, and accessibility tools. Read more: VentureBeat

Meta’s VoiceBox for Multiple Voice Synthesis Tasks

Meta has announced VoiceBox, a generative model for multiple voice synthesis tasks. The model can generate a wide range of voices and can be used to create realistic voiceovers, dubbing, and other audio content. This technology could revolutionize the audio content industry, making it easier to create high-quality voice content. Read more: VentureBeat

Hidden Door’s Wizard of Oz Games Created by Generative AI

Hidden Door has launched playtests for its Wizard of Oz games, which were created by a generative AI. The AI model was trained on a dataset of classic Wizard of Oz stories and was able to generate new game scenarios based on these stories. This technology could revolutionize the gaming industry, allowing for the creation of unique and dynamic game experiences. Read more: VentureBeat

Vimeo Unveils AI Tools for Easy Video Creation

Vimeo has introduced new AI tools to simplify the process of video creation. The tools leverage AI to automate tasks such as video editing, sound design, and color correction, making it easier for users to create professional-quality videos. This could democratize video production, allowing anyone to create high-quality videos without needing specialized skills or equipment. Read more: VentureBeat

Dropbox Introduces Generative AI-Powered Products for Knowledge Work

Dropbox has introduced new generative AI-powered products to simplify knowledge work. The products use AI to automate tasks such as document creation, information retrieval, and collaboration, making it easier for users to manage their work. This could revolutionize the way we work, reducing the time and effort required for routine tasks and allowing us to focus on more complex and creative tasks. Read more: VentureBeat

OpenAI Introduces New Generative Text Features While Reducing Pricing

OpenAI has introduced new versions of its text-generating models, GPT-3.5-turbo and GPT-4, with expanded capabilities while reducing pricing. The new feature, function calling, allows developers to describe programming functions to the models and have them create code to execute those functions. This could revolutionize the way we interact with AI, making it easier to get structured data back from the model. Read more: TechCrunch

Google Maps Gains Glanceable Directions and an Expanded Immersive View

Google Maps has introduced new features for the summer travel season, including glanceable directions and an expanded Immersive View. Glanceable directions allow users to track their trip progress from their lock screen or route overview, while the expanded Immersive View provides a multidimensional view of the world, covering over 500 landmarks. These features could enhance the user experience, making it easier to navigate and explore the world. Read more: TechCrunch

Google Lens Can Now Search for Skin Conditions

Google Lens has introduced a new feature that allows users to search for skin conditions. By uploading a picture or photo through Lens, users can start a search for visual matches, which could be useful for deciding whether to seek medical attention or over-the-counter treatments. This demonstrates the potential of AI in healthcare, providing users with a convenient and accessible way to monitor their health. Read more: TechCrunch

Mercedes Adds ChatGPT to Its Infotainment System

Mercedes is adding OpenAI’s conversational AI agent, ChatGPT, to its MBUX infotainment system. This will enable the system to conduct conversations and provide more comprehensive answers to users’ queries. This could enhance the driving experience, allowing users to interact with their car in a more natural and intuitive way. Read more: TechCrunch

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