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Deep Learning: Researchers Pursue Advantages of Analog Computing

By Dick Weisinger

During the last decade Artificial Intelligence, particularly Deep Learning algorithms, have made enormous progress by adopting GPU processors. GPUs, graphic processing units, are just that — they were designed to boost the performance of computer graphics processing. Over the last

AI, Deep Learning, and Life Sciences: Poised for Take Off

By Dick Weisinger

Andrew Ng, founder of Google Brain, former chief scientist at Baidu, and current adjunct professor at Stanford, said that “in the tech world, progress tends to happen slowly and then very quickly. I think we’re still in the progress-is-happening-slowly process

Geometric Deep Learning: Recognizing Patterns on Curved Surfaces

By Dick Weisinger

Geometric Deep Learning (GDL) is a branch of artificial intelligence that focuses on learning patterns that occur on curved surfaces. It is particularly useful in helping biology and chemistry researchers unlock the interactions of molecules and proteins. The area of

GLOM: Attempting to Make Computer Vision Better by Mimicking How Humans See

By Dick Weisinger

Human brains are set up to be able to intuit from partial views of objects information about the size, shape and type of thing that is being viewed. And it is able to do it quickly — in fractions of

Deep Learning: Roadblocked Unless More Efficient Algorithms Can Advance the Technology

By Dick Weisinger

Deep Learning has enabled impressive AI results, but the technique may be hitting a roadblock. Research from a group at MIT said that scaling up Deep Learning beyond it’s current capabilities is limited by computational power. To push the capabilities