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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
- NLP (written, spoken)
- 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
- i.e. methods that learn from and make predictions on data
- Decision tree learning
- Association rule learning
- Artificial neural networks
- Support vector machines
- 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.