By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made ...

Ben Khalesi writes about where artificial intelligence, consumer tech, and everyday technology intersect for Android Police. With a background in AI and Data Science, he’s great at turning geek speak ...

Machine-learning-as-a-service (MLaaS) is transforming the accessibility of advanced analytics, allowing users to harness the power of machine learning through easy-to-use, scalable and cost-effective ...

Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...

Google will start testing a feature this year that uses machine learning to weed out children trying to access adult content on YouTube. The “machine learning-based age estimation model” will try to ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

Imagine predicting the exact finishing order of the Kentucky Derby from a still photograph taken 10 seconds into the race. That challenge pales in comparison to what researchers face when trying to ...

Muons tend to scatter more from high-atomic-number materials, so the technique is particularly sensitive to the presence of materials such as uranium. As a result, it has been used to create systems ...