Rise of The Machines (Science Part) – DRH011


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Episode 011 – Rise of The Machines (Science Part)

Rise of the Machines! I believe this time the machines had something to say time and caused havoc in our center and studio! Fortunately the revolution of those machines was contained and solved 😀

Welcome to the science part, like in the sci-fi part we have our special guest:

  • Prof. Horia Pop – Professor of Computer Science at the Babeș-Bolyai University in Cluj-Napoca.

We start with Karl asking Prof. Horia Pop a brief description between weak and strong AI.

Then after going through some examples we discussed the following points::

Weak AI: Problems:

  • Reasoning, problem solving
  • Knowledge representation
  • Planning
  • Learning
  • NLP (written, spoken)
  • Perception
  • Motion, robotic arms

Weak AI: Methods, techniques:

  • Search and optimization
  • Logic, automated reasoning
  • classifiers, clustering, statistical learning
  • Soft computing
  • probabilistic methods for uncertain reasoning
  • neural networks, deep, recurrent
  • fuzzy sets, fuzzy logic
  • (fuzzy) controllers
  • evolutionary computing
  • self-organizing maps (example websom)
  • intelligent agents, multi-agent systems

Machine learning:

  • i.e. methods that learn from and make predictions on data
  • Decision tree learning
  • Association rule learning
  • Artificial neural networks
  • Support vector machines
  • Clustering
  • Bayesian networks
  • Reinforcement learning
  • Principal components analysis and relatives
  • Similarity and metric learning
  • Multidimensional scaling
  • Sparse dictionary learning
  • Genetic algorithms

Growing Societal impacts of AI

  • Increased economic efficiencies will lead to rising general unemployment
  • Could unemployment become the ‘new normal’
  • Will this break the covenant between society and the citizen to provide work?
  • How might a citizen’s role in society change?

Listen to the full episode for more and share thoughts with us!


  • Russell, Stuart J.; Norvig, Peter (2003), Artificial Intelligence: A Modern Approach (2nd ed.), Upper Saddle River, New Jersey: Prentice Hall,
  • Poole, David; Mackworth, Alan; Goebel, Randy (1998). Computational Intelligence: A Logical Approach. New York: Oxford University Press.
  • Winston, Patrick Henry (1984). Artificial Intelligence. Reading, MA: Addison-Wesley.
  • Rich, Elaine (1983). Artificial Intelligence. McGraw-Hill.


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