“Apple, they write, stands out: its “Metal” API for iOS runs on a consistent chip platform and the GPUs in those chips are higher-performance, on average, “making Metal on iOS devices with GPUs an attractive target for efficient neural network inference.” Even then, however, the results of a “rigorous” examination of the speed of inference…
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Online merchandising & personalisation – How hard can it be?
Online merchandising & personalisation How hard can it be? Join Micha Mokhberi, founder and CEO of Apptus, in a light hearted (but insightful) journey through the world of online merchandising and personalisation. https://www.apptus.com/resources/the-apptus-experience-optimisation-engine-as-part-of-the-customer-journey
Factoid from: Artificial Intelligence for the Real World
My favorite factoid from the HBR paper titled “Artificial Intelligence for the Real World,” is the breakdown of cognitive technology projects studied by Thomas H Davenport and Rajeev Ronanki. The breakdown is likely representative of the current environment of projects: Robotics & cognitive Automation – 71 Cognitive Insight – 57 Cognitive Engagement – 24
AI Weekly: 2018 in machine learning – Khari Johnson
“On the AI assistant front, we saw Alexa and Cortana begin to work together. We documented how this fall Google, Facebook, and Amazon simultaneously fought major scandals while at the same time entering full pitch mode for smart displays, and we looked at the need for trust in AI assistant adoption. One of my favorites from Kyle Wiggers is about the danger…
ai – A day in my life
How many times will I interact with ai today? This is a question that has been on my mind, but I haven’t had the time to monitor, document and track the interactions. So, yesterday December 29th, was my opportunity. It was Saturday, in the midst of the New Year holiday weekend. The kids would be…