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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8 years ago
Twelve Hot Deep Learning Applications Featured at Deep Learning World

  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.   Deep learning is white hot – both in buzz and in actual value. This recently-proven collection of advanced neural network methods scales machine learning to a new level of capabilities – namely, achieving high performance for large-signal input problems, such as for the classification of images (self-driving cars, medical images), sound (speech recognition, speaker recognition), text (document classification), and even “standard” business problems, e.g., by processing high dimensional clickstreams. To help catalyze deep learning’s commercial

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