Electronic health records (EHRs) have become widely used in the hopes of saving time and improving patient care quality. Physicians, however, typically spend more...
All things that move will become autonomous. And all the robots out there are getting smarter, fast! NVIDIA announced its latest initiatives to deliver...
Image and text datasets are widely used in many machine learning applications. To model the relationship between images and text, most multimodal Visio-linguistic models...
Cogitativo is a data science enterprise based in Berkeley to develop and implement creative, scalable solutions to the healthcare system's most complicated challenges. Cogitativo...
Among other Machine learning (ML) techniques, deep neural networks have become crucial components for various applications, including image classification, audio recognition, and natural language...
Time series are a way to visualize and analyze the behavior of complex systems. They can represent key performance indicators for computing resources such...
Computer scientists have been researching the prospect of applying game theory and (AI) artificial intelligence technologies to chess, the abstract strategic board game, and...
Computer vision (CV) is transforming industries and making life easier for consumers. Many downstream applications, such as self-driving cars, robots, medical imaging, and photo editing,...
Portrait images are an essential type of photograph that can be found in everyday life. The ability to intuitively control the poses and expressions...
Generative adversarial networks (GANs) have been used for few years to generate photorealistic images of objects or scenes that are very similar in style...
Federated learning is a new way to train artificial intelligence models with data from multiple sources while maintaining anonymity. This removes many barriers and...
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