January 31, 2021

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Artificial Narrow Intelligence vs. Artificial General Intelligence

Organizations with the best data scientists and learning algorithms (AI) have a significant competitive advantage. Professional data scientists use artificial narrow intelligence for massive advantage. Machine learning algorithms can add great value in certain circumstances within appropriate contexts and within data science processes.

At this time there is NO artificial general intelligence (AGI). AGI is defined as artificial intelligence that is about equal to human intelligence. The problem is we cannot define human level intelligence and lack powerful enough compute, appropriate paradigms and algorithmic frameworks to make AGI at this time.

Narrow artificial intelligence is getting stronger and smarter every day. Decisions based on data science evidence, learning algorithms, and human reasoning and creativity will make superior decisions over time (most of the time, not all of the time).

Building artificial narrow intelligence into data science processes can add massive value and advantage to achieve specific goals.

New Data Science News Articles: 

• Sensors: A Quantum Revolution
• Ten Computer Codes That Transformed Science
• Do Lockdowns Work? The Literature
• Psychopathy and the Origins of Totalitarianism

New Books from DSA Store:

• Outlier Analysis
• Outlier and Anomaly Detection: A Survey of Outlier and Anomaly Detection Methods

New DSA Videos:

• Bayesian Statistics 08
• Bayesian or Frequentist?

New DSA Resources:

• Quantum Algorithm for Nonlinear Differential Equations
• Efficient Quantum Algorithm for Dissipative Nonlinear Differential Equations

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