The fundamentals of robotic process automation combined with machine learning capabilities to robotize the mundane tasks, plus learning to do a job even better, is what intelligent process automation ...

Bioprocess modeling is undergoing a transformative phase with the advent of digital technologies like artificial intelligence (AI) and machine learning ...

Automated machine learning (autoML) is the process of applying tools to data to apply the machine learning process to a real-world problem. Applying machine learning to a new dataset is a complicated ...

Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...

Find out how Python compares to Java for data analysis, then use Flask to build a Python-based web service for machine learning Machine learning is one of our most important technologies for the ...

Every day, some little piece of logic constructed by very specific bits of artificial intelligence technology makes decisions that affect how you experience the world. It could be the ads that get ...

Machine​‍​‌‍​‍‌​‍​‌‍​‍‌ learning models are highly influenced by the data they are trained on in terms of their performance, ...

Human-in-the-loop machine learning takes advantage of human feedback to eliminate errors in training data and improve the accuracy of models. Machine learning models are often far from perfect. When ...

Being able to explain how machine learning models work has been a point of contention since the technology’s inception. Bloomberg is set to release further empirical metrics, at the end of this year, ...

Apple may not be as flashy as other companies in adopting artificial intelligence features, nor does it have as much drama surrounding what it does. Still, the company already has a lot of smarts ...