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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4 years ago
AI and ML in Health Care: A Brief Review

 Of the many disciplines that are active users of machine learning and artificial intelligence, perhaps the most significant contributions and most meaningful impacts can be made in the health care industry. In addition to the potential improvement in overall human health, the vast availability of data provides for a rich reservoir to mine.  Big pharma, with their associated research and development activities, has resulted in expansive data bases. Insurance companies have organized their patient files. Physicians are recording patient histories. And hospitals are finally maintaining a plethora  of records, as well. Like all industries, cost savings, revenue enhancements,

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