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Neural Radiance Fields (NeRF) is a fascinating technique that creates three-dimensional (3D) representations of a scene from a set of two-dimensional (2D) images, captured from different angles. It works by training a deep neural network to predict the color and density at any point in 3D space.
The vaccine advisory group ACIP, not all members of which seemed to know what the group does, recommended to the CDC that combined MMRV shots not be given before age 4.
The rapid development of artificial intelligence (AI) poses challenges to today’s computer technology. Conventional silicon processors are reaching their limits: they consume large amounts of energy, the storage and processing units are not interconnected and data transmission slows down complex applications.
New glasses with a built-in display bring Meta’s vision of the augmented reality future into focus. The popular Ray-Bans also get an update, and there’s a new Oakley style for action sports.
What if we could get clean electricity more cheaply and protect the environment at the same time? A team of researchers in Korea has presented a roadmap for sustainable solar cells that integrates AI technology to bring this future closer. Their study is published in Green Chemistry and was selected as the cover of the …
Read more “AI brings perovskite solar cells closer to sustainable commercialization”
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When researchers are building large language models (LLMs), they aim to maximize performance under a particular computational and financial budget. Since training a model can amount to millions of dollars, developers need to be judicious with cost-impacting decisions about, for instance, the model architecture, optimizers, and training datasets before committing to a model.
At WIRED’s AI Power Summit on Monday, industry executives and officials discussed the impact artificial intelligence is having on every corner of society—and where it goes from here.
To train artificial intelligence (AI) models, researchers need good data and lots of it. However, most real-world data has already been used, leading scientists to generate synthetic data. While the generated data helps solve the issue of quantity, it may not always have good quality, and assessing its quality has been overlooked.
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