This week, innovative ML techniques helping to reduce bias as well as catching the attention of cybercriminals. Plus, we’ve shared many unique ways ML is having an impact across different industries, but experts are predicting these 16 will be revolutionized by its power in the next 5 years.
By Jeff Burt, contributing writer for Theregister.com
The increasingly wide use of deep neural networks (DNNs) for such computer vision tasks as facial recognition, medical imaging, object detection, and autonomous driving is going to, if not already, catch the attention of cybercriminals.
By Natasha Lane, contributing writer for Insidebigdata.com
AI and machine learning have come a long way over the past few years. But are businesses efficiently implementing them to simplify processes, increase productivity, and reduce error margins? Data suggests that the answer is no – especially in the financial sector.
By Expert Panel, contributing writers for Forbes.com
Machine learning can open up new insights and possibilities for industries of all stripes. Many companies are looking for ways to leverage the technology to boost productivity, improve customer relations and more. Still, even though ML has wide-ranging potential, there are certain industries and functions that are poised to see big changes from the tech within the next five years.
By Mark Melchionna, contributing writer for Healthyanalytics.com
Recognizing the harm that unbalanced data can bring to the creation of machine-learning models, a study shows how Massachusetts Institute of Technology (MIT) researchers attempted to increase fairness in these models through a new technique, called Partial Attribute Decorrelation.
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