I wrote previously about the emergence of applied, agile, assured AI. This post is a deeper dive, explaining the diagram, below, in more detail: Over the years, computer science has evolved through four eras,...
Please take a careful look at the above diagram (it is a simple Causal Decision Diagram (CDD), as described in Link). It is, by my understanding, one of the most important patterns we face...
As shown in the figure above, and as I have written about previously, AI is entering the mainstream, analogous to software engineering of a couple of decades ago. The challenges associated with successful AI/ML...
OpenAI has built an AI that it suspects may be too dangerous to release to the public. What should it do? Sorry to say, but the technology train is hard to stop. Whatever OpenAI...
I and my teams have been delivering machine learning projects for about three decades, from work on the Human Genome Project in the 1980s through sensor fusion for the Department of Energy for hazardous...
As we look forward into 2017, intelligence augmentation (IA) will begin to take its rightful place alongside artificial intelligence (AI). Here’s one of my talks about this. Summary below.
Please enjoy this interview broadcast today with me and Daniel G. Faggella of TechEmergence. I touch on intelligence augmentation (IA), machine learning in vision, text, and other domains, the emerging decision intelligence ecosystem, the...
Are we getting dumber? Or is stuff just harder? Both are true. Between-silo problems are the new bottleneck. We’re inundated with information, so we take cognitive short cuts. And “wicked” problems keep getting...
Conferences are for meetings. Project teams build deliverables. Data is for data scientists. Online communities are for social contact. Until now, when a new mix is emerging. Can we solve difficult problems in a...
2015 was a turning point year for machine learning. Check it out:
