Gandhi predicted that both capitalism and communism would eventually fail.[1] He proposed a third system, called trusteeship,[2] which held tremendous promise. Yet today’s world is much more complex than the one that Gandhi inhabited, and so we...
Guest Blogger Introduction I’m Emily Zhao, a summer intern at Quantellia. I am an undergraduate at the University of California, San Diego, studying Applied Math, Cognitive Science, and Computer Science. As co-sponsor of the Responsible AI/DI...
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...
What does cold dead fish have to do with random forests? If you were to open a restaurant that served cold dead fish, you would not stay open for very long. However, if you...
Every few years, it’s exciting to witness a nascent technology emerge as a credibly disruptive influence around the world. Personal computing exploded in the 1980s, the web in the 1990s. Today, machine learning for...
Often 10% of the data contains 90% of its value in solving the problems we need solved. This means that we can waste enormous resources cleansing, migrating, and managing that 90%, with little to...
The Internet of Things…Machine Learning…Self-Driving Cars…Artificial Intelligence…Big Data…Smart Cities…Decision Intelligence…my friends talk to me about their excitement about a whole lot of trends. But which ones are real, and which will fizzle? Before founding...
Looking back on the presidential election of 2012, one view of the Obama win is to attribute it to his team’s understanding of a phase shift in electoral dynamics: Democrats looked at historical turnout...
As computer scientists, one of our first lessons is about “big O” complexity of software. It’s used to understand the expected time for a program to run. “Big O” theory tells us that it’s...
