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 ...

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 ...

The compelling Oct. 15, 2019 presentation below is on behalf of one of my favorite Meetup groups: LA Machine Learning. The talk, “AutoML in Practice,” is by Danny D. Leybzon, a Solutions Architect at ...

There's an irony around Artificial Intelligence (AI) work: it involves a lot of manual, trial and error effort to build predictive models with the highest accuracy ...

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 ...

When businesses identify a problem that can be solved through machine learning, they brief the data scientists and analysts to create a predictive analytics solution. In many cases, the turnaround ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

AI is rapidly moving to the edge with demand for intelligent edge devices exploding, but many developers still struggle to fit powerful models onto tiny microcontrollers. Developers face a steep ...

Doug Bonderud is an award-winning writer capable of bridging the gap between complex and conversational across technology, innovation and the human condition. Automation offers substantive benefits as ...

AutoML is a technique where customers bring their data and walk away with a model without worrying about the complex workflow involved in training machine learning models. It dramatically simplifies ...