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...
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By: Dr. Eric Siegel, Executive Editor, Predictive Analytics Times 

 Good morning. It’s January 2, 2020, the first workday of the year. As you drive to the office, the only thing predictive analytics doesn’t do for you is steer the car (yet that’s coming soon as well). 1. Anti-theft. As you enter your car, a predictive model establishes your identity based on several biometric readings, rendering it virtually impossible for an imposter to start the engine. 2. Entertainment. Pandora plays new music it predicts you will like. 3. Traffic. Your navigator pipes up and suggests alternative routing due to predicted traffic delays. Because the new route has hills

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