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...

Management

It’s starting to come together

  The technology-customer centricity-profitability linkage emerges Every year Gartner comes out with a fascinating graph detailing the “hype cycle” of scores of new technologies, plotting them on a time curve that traces them through various stages, starting with “innovation trigger,” “peak of inflated expectations,” “trough of disillusionment,” “slope of enlightenment,”—and ending with the “plateau of