Using a given training dataset as a guide, generative adversarial networks (GANs) have achieved excellent results when sampling new pictures that are "similar" to...
Future economic growth could be significantly impacted by AI chips, which will unavoidably be used in robotics, smart homes where electronic items are becoming...
By improving the in-context learning quality of smaller and open source models, more researchers and organizations can study and apply the technology. One exciting...
Dense retrieval, a technique for finding documents based on similarities in semantic embedding, has been shown effective for tasks including fact-checking, question-answering, and online...
Automatic code suggestion is now a common software engineering tool thanks to recent developments in deep learning. A for-profit "AI pair programmer" called GitHub...
Language facilitates crucial interactions for and between physicians, researchers, and patients in the compassionate field of medicine. But the use of language by current...
Capturing and synthesizing realistic human motion trajectories can be extremely useful in virtual reality, game character animations, CGI, and robotics. We need large datasets...
In the last decade, convolutional neural networks (CNNs) have been the backbone of computer vision applications. Traditionally, computer vision tasks have been tackled using...
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