Suppose you could develop an AI application without having to lift a finger. To some degree that is the goal of Automated Machine Learning, known as AutoML, which consists of an automated means to ...
The remarkable progress in machine learning, driven in large part by the advancement of AutoML, has paved the way for transformative applications across various industries. In finance, it aids in ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More There is no cure for Alzheimer’s. But what if we could find a way to ...
AutoML is poised to turn developers into data scientists — and vice versa. Here’s how AutoML will radically change data science for the better. In the coming decade, the data scientist role as we know ...
Recently, professors Risheng Liu from Dalian University of Technology and Zhouchen Lin from Peking University collaborated on an opinion article published in the National Science Review (NSR). Their ...
This talk will focus on a few recent progresses we have made on AutoML, particularly on neural architecture search for efficient convolutional neural networks. We will first discuss the challenges and ...
The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...
The two biggest barriers to the use of machine learning (both classical machine learning and deep learning) are skills and computing resources. You can solve the second problem by throwing money at it ...
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