Engineering Quality, Engineering Trust

Posted on Posted in Data Driven Culture, Data Science, Decision Neuroscience, Machine Learning, Technology

There’s a quote from The Office (US) [Season 6, episodes 5/6, “Launch Party”]: Michael: Okay, okay, what’s better? A medium amount of good pizza? Or all you can eat of pretty good pizza? All: Medium amount of good pizza. Kevin: Oh no, it’s bad. It’s real bad. It’s like eating a hot circle of garbage. […]

Unsupervised Learning at the Rework Deep Learning Summit

Posted on Posted in Artificial Intelligence, Data Science, Decision Neuroscience, Machine Intelligence, Machine Learning, Technology

It was a treat to see these three – Yoshua Bengio, Yann Lecun, and Geoffrey Hinton – for an afternoon. Easily the best three consecutive hours I’ve ever seen at a conference. They remarked that Canada continues to invest in primary research. And this is a strength. Much of the exploratory work these three executed […]

Goal Formation

Posted on Posted in Business, Data Driven Culture, Data Science, Decision Neuroscience, Design Thinking, Economics, Machine Intelligence, Technology

Bart Gajderowicz delivered a great talk at Machine Intelligence Toronto about how people go through stages in accomplishing a goal [1]. The talk was about homelessness and AI approaches to public policy. I instantly saw a connection to all sorts of tensions that people endure when they set out on a goal. To distill the […]

Still in the Trough: Holiday VR Figures

Posted on Posted in Business, Decision Neuroscience, Technology, Virtual Reality

Previously, I argued that you should look at the Q4-2016 VR sales figures closely and then make decisions about whether to jump in. Some figures are in. SuperData Research, a technology research firm, estimated that Oculus had sold 360,000 headsets and HTC 450,000 since their products went on sale in March and June, respectively. Both […]