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Artificial Intelligence

Real Life Examples

  • Self Driving Cars
  • E-Payment
  • Google Maps
  • Text Autocorrect
  • Automated Translation
  • Chatbots
  • Social Media
  • Face Detection
  • Search Algorithms
  • Robots
  • Automated Investment
  • NLP - Natural Language Processing
  • Flying Drones
  • Dr. Watson
  • Apple Siri
  • Microsoft Cortana
  • Amazon Alexa

Artificial Music Intelligence

Can an algorithm compose better music than a human?

David Cope is a former professor of music at the University of Santa Cruz (California).

For over 30 years, David Cope has been developing Emmy or EMI (Experimental Musical Intelligence), an algorithm to compose music in the style of famous composers.


Bach, Larson, or EMI?

In a test performed by professor Douglas Hofstadter of the University of Oregon, a pianist performed three musical pieces in the style of Bach:

  • One written by Bach
  • One written by Steve Larson
  • One written by EMI

Dr. Larson was hurt when the audience concluded that his piece was written by EMI.

He felt better when the listeners decided that the piece composed by EMI was a genuine Bach.

Source: New York Times

Vivaldi

David Cope Emmy Vivaldi


Artificial Health Intelligence

Project Baseline is an initiative to make it easy for everyone to contribute to the map of human health and to participate in clinical research.

In Project Baseline, researchers, clinicians, engineers, designers, advocates, and volunteers, can collaborate building the next generation of healthcare tools and services.

Baseline

FDA Statement

Statement from FDA Commissioner Scott Gottlieb, M.D. on steps toward a new, tailored review framework for artificial intelligence-based medical devices:

"Artificial intelligence and machine learning have the potential to fundamentally transform the delivery of health care. As technology and science advance, we can expect to see earlier disease detection, more accurate diagnosis, more targeted therapies and significant improvements in personalized medicine".


Can AI Be Human?

Scientists are trying to discover what separates human intelligence from machine intelligence.

What is the status?

What is the future?

  1. Year 2000: Reactive Machines
  2. Year 2015: Machine Learning
  3. Year 2030: Theory of Mind
  4. Year 2050: Self-Awareness

Reactive Machines

Early AI systems were reactive. Reactive systems cannot use past experiences.

In 1997 a reactive machine (IBM Deep Blue) beat the world champion in chess.

Deep Blue could not think. But he (she) was stored with information about the chess board, and the rules for moving chess pieces.

Deep Blue won because it had superpower and was programmed to calculate every move way to win.

Chess

Machine Learning

Today, AI systems can use some information from the past.

One example is self-driven cars. They can combine preprogrammed information with information they collect while they learn how to drive (Supervised Learning).


Theory of Mind

In psychology, "Theory of Mind" means that people have thoughts, feelings and emotions that affect their behavior.

Future AI systems must learn to understand that everyone (both people and AI objects) have thoughts and feelings.

Future AI systems must know how to adjust their behavior to be able to walk among us.


Self-Awareness

The last step, before AI can be human, is to machine consciousness.

We can not construct this software before we know much more about the human brain, memory, and intelligence.