This company could be a great pick for investors seeking to profit from the next wave of AI. In Nvidia's third-quarter earnings conference call on Nov. 20, Huang stated, "The next wave of AI are [sic] enterprise AI and industrial AI." He added ...

At this point, anyone who has been following AI research is long familiar with generative models that can synthesize speech or melodic music from nothing but text prompting. Nvidia's newly revealed "Fugatto" model looks to go a step further,

Last week, Nvidia Corporation (NASDAQ: NVDA) issued its third quarter results, topping both sales and earnings estimates as well as posting a better-than-expected current quarter guidance as its end-customers,

Nvidia on Monday showed a new artificial intelligence model for generating music and audio that can modify voices and generate novel sounds - technology aimed at the producers of music, films and video games.

Nvidia's journey to a $3.53 trillion market cap showcases its evolution from a GPU powerhouse to a leader in AI and data center innovation, overcoming challenges like supply chain disruptions and capitalizing on the AI revolution to drive unprecedented growth post-COVID.

Nvidia says its new AI music editor can create “sounds never heard before” — like a trumpet that meows. The tool, called Fugatto, is capable of generating music, sounds, and speech using text and audio inputs it’s never been trained on.

Musk’s xAI and Meta are among those building super clusters of computer servers with as many as 100,000 of Nvidia’s most advanced chips.

Nvidia unveiled a new AI model on Monday called Fugatto that can create sounds, music, and clone and modify voices, based on the user's audio and text prompts.

Graphics and AI giant NVIDIA has announced a new AI model called Fugatto (short for Foundational Generative Audio Transformer Opus 1). Developed by an international team of researchers. It is being billed as "the world’s most flexible sound machine" taking on ElevenLabs and AI music maker Suno in one hit.

Nvidia CEO Jensen Huang said today's AI doesn't provide the best answers and more computational power is necessary.