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Machines are rapidly gaining the ability to perceive, interpret and interact with the visual world in ways that were once ...
Explore the distinctions between the related but distinct technologies of deep learning and generative AI, along with their techniques, applications, strengths, and challenges. Written by eWEEK ...
In the podcast, Rosaria Silipo talks about the emerging trends in deep learning, with focus on low code visual programming to help data scientists apply deep learning techniques without having to ...
The past decade has seen tremendous progress in the field of artificial intelligence thanks to the resurgence of neural networks through deep learning. This has helped improve the ability for ...
Computer Vision has the goal of extracting information from images. We will go over the major categories of tasks of Computer Vision and we will give examples of applications from each category. With ...
KEY TAKEAWAYS • Different types of AI models power rigorous applications, each tailored to specific tasks. Common types of AI models include machine learning, deep learning, natural language ...
Infectious diseases, such as COVID-19, spread easily in crowded areas. Smart visual sensing that can identify overcrowding is, thus, a necessary tool to curb the spread of these infectious ...
Deep convolutional neural networks (DCNNs) don't see objects the way humans do -- using configural shape perception -- and that could be dangerous in real-world AI applications. The study employed ...
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