In today's data-rich environment, business are always looking for a way to capitalize on available data for new insights and ...

Deep learning approaches, particularly convolutional neural networks (CNNs) and other architectures, were used in 49 papers. These models excel at image-based tasks such as land cover classification, ...

On a mission to lighten the workload for data scientists, Google LLC’s cloud division today announced a wave of new ...

A look at how the Finnish specialty chemicals company used decades of formulation data to revolutionize its polymer ...

Many retail myths around product launches still persist—from overstocking safety stock to over-relying on historical data.

Earthmover found new customers when it started building tools for companies to analyze the output of weather models. The ...

An amateur meteorologist with a knack for predicting exquisite sunsets says his fans’ passion for weather photography is ...

Overview: Data Science is broader and focuses on extracting insights, whereas machine learning is a subset that focuses on ...

But the problem is that, given how rare genius is even when better identified, such schemes are by their nature poorly ...

A lull during the peak of hurricane season is unusual but not an indication the season will remain slow. Florida is vulnerable into November.

Solar PV energy is one of the fastest-growing renewable technologies, with projects now deployed across nearly every climate ...