NVIDIA Is Supercharging AI Research!

1. HybridAI enables local and cloud AI computation for different tasks.

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HybridAI allows local machines to handle tasks requiring low latency, while cloud computation is used for more complex and time-consuming processes.

• Local computation is suitable for tasks like noise removal in videoconferencing.
• Cloud computation is beneficial for processes like generative fill in Photoshop.

2. Generative AI enhances virtual character interactions and behaviors.

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Generative AI enables virtual characters to synthesize dialogue, voice, and actions, creating more realistic and interactive experiences.

• Virtual characters can be given identities, backstories, and dynamic behaviors.
• This technology is available for developers to use currently.

3. AI advancements improve visual quality and gaming experiences.

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AI-based technologies such as ray tracing, supersampling, and antialiasing enhance visual quality and realism in gaming.

• RTX technology is expanding to more games, including remastering older titles.
• New text to image AI tools offer advanced image manipulation capabilities.

4. AI integration extends to diverse industries, revolutionizing operations.

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AI is increasingly integrated into industries like agriculture, construction, healthcare, and retail, transforming operations and enabling virtual simulations for training.

• GPT technology improves robot understanding of commands.
• Generative AI models virtual factories for training and domain randomization.