NVIDIA Research has made significant strides in artificial intelligence (AI) and generative technologies in the past year. The research team has laid the groundwork for future improvements in GPU performance, developed novel graphics techniques, and improved the efficiency of AI models.
One of the most exciting areas of development is generative AI, which has enabled the creation of high-resolution weather forecasts, accurate blood glucose level predictions, and realistic humanoid motion. Researchers have also made breakthroughs in image and 3D model generation, music composition, and sound synthesis.
Some notable achievements include:
– ConsiStory: An AI-powered tool that generates consistent imagery with a main character, reducing generation time from 13 minutes to just 30 seconds.
– Edify 3D: A foundation model for generating 3D objects that can be used in virtual worlds, enabling creators to quickly ideate and conceptualize immersive environments.
– Fugatto: A generative AI model that can create or transform music, voices, and sounds based on text or audio prompts.
– GluFormer: An AI model that predicts blood sugar levels four years out, enabling precision nutrition.
– LATTE3D: A 3D generator that converts text prompts into 3D representations within a second, like a virtual 3D printer.
– MaskedMimic: An AI framework for reconstructing realistic movement in humanoid robots.
– StormCast: A generative AI model for emulating atmospheric dynamics, achieving higher accuracy in weather forecasts and climate simulations.
NVIDIA Research’s advancements have set records across benchmarks for AI training and inference, autonomous driving, and robotics. The team continues to push the boundaries of what is possible with AI and generative technologies, paving the way for exciting developments in the future.
Source: https://blogs.nvidia.com/blog/ai-research-2024