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  2. Nvidia, Microsoft, Google, and others partner with US ... - AOL

    www.aol.com/finance/nvidia-microsoft-google...

    Tech giants Nvidia, Microsoft, Google, Amazon, and more are joining the National Science Foundation in an effort to develop a national artificial intelligence research resource.

  3. Nvidia highlights AI software and services at D.C. AI Summit

    www.aol.com/finance/nvidia-highlights-ai...

    Daniel Howley. October 8, 2024 at 5:26 PM. Nvidia (NVDA) is best known for its highly coveted artificial intelligence chips. But at its Nvidia AI Summit in Washington, D.C., on Tuesday, the Nvidia ...

  4. Nvidia Doubled Its Money on This Artificial Intelligence (AI ...

    www.aol.com/nvidia-doubled-money-artificial...

    With SoundHound stock now trading at $4.50, Nvidia's position is worth around $7.8 million -- implying a whopping 116% gain in less than a year. SoundHound is a specialist in conversational AI ...

  5. Nvidia - Wikipedia

    en.wikipedia.org/wiki/Nvidia

    Tegra, a system on a chip series for mobile devices. Tesla, line of dedicated general-purpose GPUs for high-end image generation applications in professional and scientific fields. nForce, a motherboard chipset created by Nvidia for Intel (Celeron, Pentium and Core 2) and AMD (Athlon and Duron) microprocessors.

  6. Nvidia GTC - Wikipedia

    en.wikipedia.org/wiki/Nvidia_GTC

    Nvidia GTC (GPU Technology Conference) is a global artificial intelligence (AI) conference for developers that brings together developers, engineers, researchers, inventors, and IT professionals. [1] Topics focus on AI, computer graphics, data science, machine learning and autonomous machines. Each conference begins with a keynote from Nvidia ...

  7. Text-to-video model - Wikipedia

    en.wikipedia.org/wiki/Text-to-video_model

    Many pedestrians walk about. A text-to-video model is a machine learning model that uses a natural language description as input to produce a video relevant to the input text. [1] Advancements during the 2020s in the generation of high-quality, text-conditioned videos have largely been driven by the development of video diffusion models.