Physicists at the Cubic Kilometre Neutrino Telescope Initiative, KM3NeT, built a cathedral of glass spheres that listens for ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

Deep learning is a form of machine learning that models patterns in data as complex, multi-layered networks. Because deep learning is the most general way to model a problem, it has the potential to ...

The rise of mobile, IoT and Web applications are driving the growth of big data. One of the challenges many businesses and developers now face lies in identifying algorithms to make sense of this ...

Twenty years ago IBM’s Deep Blue computer stunned the world by becoming the first machine to beat a reigning world chess champion in a six-game match. The supercomputer’s success against an ...

A classification problem is a supervised learning problem that asks for a choice between two or more classes, usually providing probabilities for each class. Leaving out neural networks and deep ...

You may have heard about deep learning and felt like it was an area of data science that is incredibly intimidating. How could you possibly get machines to learn like humans? And, an even scarier ...

Having been at the forefront of machine learning since the 1980s when I was a staff scientist in the Theoretical Division at Los Alamos performing basic research on machine learning (and later ...

A construction worker trapped by heavy machinery inside a 10-foot trench was rescued by St. Joseph firefighters on Friday.

Gary Fowler is a serial AI entrepreneur with 15 startups and an IPO. He is CEO and Co-Founder of GSD Venture Studios and Yva.ai. The world we live in gets carried away with buzzwords easily. From AI ...