Adobe reveals a GenAI tool for music

There are plenty of GenAI-powered music editing and creation tools out there, but Adobe wants to put its own spin on the concept.

Today at the Hot Pod Summit in Brooklyn, Adobe unveiled Project Music GenAI Control, a platform that can generate audio from text descriptions (e.g. “happy dance,” “sad jazz”) or a reference melody and let users customize the results within the same workflow.

Using Project Music GenAI Control, users can adjust things like tempo, intensity, repeating patterns and structure. Or they can take a track and extend it to an arbitrary length, remixing music or creating an endless loop.

Read the full article at: techcrunch.com

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Uber Eats is launching a delivery service with Cartken’s sidewalk robots in Japan

Uber, Mitsubishi Electric and autonomous robotics startup Cartken are launching a service in Japan using self-driving sidewalk robots.

Uber, along with partners Mitsubishi Electric and autonomous robotics startup Cartken, are launching a service in Japan that will use self-driving sidewalk robots to deliver food to customers.

The companies announced that the service offered through the Uber Eats app will launch in a select part of Tokyo by the end of March. An Uber spokesperson said operating hours would be disclosed closer to the launch date.

Uber and Cartken, a startup founded in 2019 by former Google engineers behind the short-lived Bookbot, already operate a delivery service together in Fairfax, Virginia, and Miami. This latest agreement marks their first foray outside of the United States. It also brings in Mitsubishi Electric, a company that will supervise operations in Tokyo.

Read the full article at: techcrunch.com

What was Sora trained on? Creatives demand answers.

Immediately after OpenAI released Sora, its new text-to-video model, there was rampant speculation on how it was trained. Yet, details are scarce.

On Thursday, OpenAI once again shook up the AI world with a video generation model called Sora.

The demos showed photorealistic videos with crisp detail and complexity, based off of simple text prompts. A video based on the prompt “Reflections in the window of a train traveling through the Tokyo suburbs” looked like it was filmed on a phone, shaky camera work and reflections of train passengers included. No weird distorted hands in sight.

Read the full article at: mashable.com

NVIDIA Brings Generative AI to Millions, With Tensor Core GPUs, LLMs, Tools for RTX PCs and Workstations

 

NVIDIA recently announced GeForce RTX™ SUPER desktop GPUs for supercharged generative AI performance, new AI laptops from every top manufacturer, and new NVIDIA RTX™-accelerated AI software and tools for both developers and consumers.

 

Building on decades of PC leadership, with over 100 million of its RTX GPUs driving the AI PC era, NVIDIA is now offering these tools to enhance PC experiences with generative AI: NVIDIA TensorRT™ acceleration of the popular Stable Diffusion XL model for text-to-image workflows, NVIDIA RTX Remix with generative AI texture tools, NVIDIA ACE microservices and more games that use DLSS 3 technology with Frame Generation.

 

AI Workbench, a unified, easy-to-use toolkit for AI developers, will be available in beta later this month. In addition, NVIDIA TensorRT-LLM (TRT-LLM), an open-source library that accelerates and optimizes inference performance of the latest large language models (LLMs), now supports more pre-optimized models for PCs. Accelerated by TRT-LLM, Chat with RTX, an NVIDIA tech demo also releasing this month, allows AI enthusiasts to interact with their notes, documents and other content.

 

“Generative AI is the single most significant platform transition in computing history and will transform every industry, including gaming,” said Jensen Huang, founder and CEO of NVIDIA. “With over 100 million RTX AI PCs and workstations, NVIDIA is a massive installed base for developers and gamers to enjoy the magic of generative AI.”

 

Running generative AI locally on a PC is critical for privacy, latency and cost-sensitive applications. It requires a large installed base of AI-ready systems, as well as the right developer tools to tune and optimize AI models for the PC platform. To meet these needs, NVIDIA is delivering innovations across its full technology stack, driving new experiences and building on the 500+ AI-enabled PC applications and games already accelerated by NVIDIA RTX technology.

 

This is NVIDIA’s first and very important step towards the vision of “LLM as Operating System” – a locally running, heavily optimized AI assistant that can deeply integrate with all your local files, but at the same time preserving privacy. NVIDIA is going local even before OpenAI!

Read the full article at: nvidianews.nvidia.com

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