About

“No great artist ever sees things as they really are. If he did, he would cease to be an artist.” – Oscar Wilde

From an early age I was fascinated with art and spent a lot of my time on drawing or painting stimulating my imagination and creativity. After 23 years at IBM T.J. Watson Research Center working on building neural networks, part of Deep Learning, to solve challenging issues (see the press releases below), I always want to explore how the machine learning can support human creativity in art. Randomness is a key factor in the real world and in art. By using the neural networks and other deep learning tools that can generate random combination of visual texture and style, it emerges new horizons into the art composition. Based on my personal studies and interpretations, I apply my sense of order and play to the images and materials at hand but I’m never quite sure how a painting will look until it’s finished.

Media Reviews

IBM has created an artificial intelligence software system that can do play-by-play and color commentary of soccer videos. [Fortune]

IBM Watson's AI Technology Is Tracking Over 20,000 Shots At The Masters To Automate The Highlights [Forbes]

IBM has once again partnered with the United States Tennis Association (USTA) and they're using new AI-powered tools during the US Open to deliver AI-generated highlights, real-time stats and match analysis, as well as an onsite experience center where attendees can experience AI in action. [TechRepublic]

Wimbledon and IBM demonstrated that artificial intelligence can not only determine which points are greater than others, but package them into high-quality highlight videos suitable for a digital and broadcast audience of millions. [Wimbledon.com]

IBM are exploring whether Watson could be used to help clinicians save lives through better understanding the signs and symptoms of early stage melanoma, and they need you (yes, you) to help Watson get smarter. [Mashable]

Researchers at IBM have been studying how to take advantage of Watson’s computing capabilities, combined with recent advances in machine learning algorithms, to assist physicians in examining skin lesions. [Medgadget]

Repsol SA, Spain’s largest energy company, will work with IBM’s Watson data-crunching tool to try to make it cheaper and easier to find future caches of oil. The companies will seek to develop applications to analyze data on geology and crude reserves, the first time Watson will be used in the energy industry, said Santiago Quesada, Repsol’s director for exploration and production technology. [Bloomberg]

Contact

ai.deeparts@gmail.com