Machine Learning Times
EXCLUSIVE HIGHLIGHTS
AGI Is Infeasible. Instead, Pursue Superhuman Adaptable Intelligence
  Originally published in Forbes On a recent episode of the...
Artifact-Driven Development: Making It Possible to Query Large Analytics and AI Projects
 A practical introduction to making complex project structure explicit...
Incoherent AGI Hype Spurs An Industrywide Pivot To Hybrid AI
  Originally published in Forbes Recently on The Dr. Data Show,...
The AI Paradox: More Humanlike Means Less Autonomous
  Originally published in Forbes The AI executives are at...

Forbes

12 Amazing Deep Learning Breakthroughs of 2017

 Originally published in Forbes, Feb 5, 2018 For today’s leading deep learning methods and technology, attend the conference and training workshops at Deep Learning World Las Vegas, June 3-7, 2018.   The quest to give machines a mind of their own occupied the brightest AI specialists in 2017. Machine learning (and especially the newly hip branch, deep learning)

2015: Highs and Lows of Big Data

 2015 was a tumultuous year for Big Data, with highs continuing to dazzle us with the potential world-changing power of data and analytics. At the same time there were plenty of lows serving as ongoing warnings that...