IBM: Sharing Wisdom

January 3, 2019

Apparently, it does not take just one white paper to convince people that IBM is number one—it takes 10. That is the number of publications the company shares on its AI Research page, “The New Frontiers of AI: Selected IBM Research AI Publications from 2018.” The introduction to the collection reads:

“Much of the recent progress in AI has relied on data-driven techniques like deep learning and artificial neural networks. Given sufficiently large labeled training data sets and enough computation, these approaches are achieving unprecedented results. As a result, there has been a rapid gain on ‘narrow AI’ – tasks in areas such as computer vision, speech recognition, and language translation. However, a broader set of AI capabilities is needed to progress AI towards solving real-world challenges. In practice, AI systems need to learn effectively and efficiently without large amounts of data. They need to be robust, fair and explainable. They need to integrate knowledge and reasoning together with learning to improve performance and enable more sophisticated capabilities.

We also noted:

“Where are we in this evolution? While ‘general AI’ – AI that can truly think, learn, and reason like a human- is still within the realm of science fiction, ‘broad AI’ that can learn more generally and work across different disciplines is within our reach. IBM Research is driving this evolution. We have been a pioneer of artificial intelligence since the inception of the field, and we continue to expand its frontiers through our portfolio of research focused on three areas: Advancing AI, Scaling AI, and Trusting AI.”

As the echoes of IBM tooting its own horn linger, one can glean some interesting information from the documents presented. The papers are broken into color-coded categories—Advancing AI, Scaling AI, and Trusting AI. A couple of the simpler titles include “Listening Comprehension over Argumentative Content” and “Training Deep Neural Networks with 8-bit Floating Point Numbers.” Navigate to the post for all the (very) technical wisdom.

Cynthia Murrell, January 3, 2019

Written by Stephen E. Arnold · Filed Under IBM Watson, Marketing, News

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Stephen E. Arnold monitors search, content processing, text mining and related topics from his high-tech nerve center in rural Kentucky. He tries to winnow the goose feathers from the giblets. He works with colleagues worldwide to make this Web log useful to those who want to go "beyond search". Contact him at sa [at] arnoldit.com. His Web site with additional information about search is arnoldit.com.