Artificial Intelligence
Artificial Intelligence (AI) is not a new concept. Over the last couple of decades, it has experienced several hype cycles, which were alternating with phases of disillusionment and funding cuts ("AI winter"). The massive investments into AI by today`s hyper scalers and other companies has significantly fueled the progress made with AI, with many practical applications being deployed today.
A highly visible break-through event was the development of AlphaGo (developed by DeepMind Technologies which was later acquired by Google), which in 2015 became the first computer Go program to beat a human professional Go player without handicap on a full-sized 19×19 Go board. Until then, Go was thought of as being "too deep" for a computer to master on the professional level. AlphaGo is using a combination of machine learning and tree search techniques.
Many modern AI methods are based on advanced statistical methods. However, finding a commonly accepted definition of AI is not easy. A quip in Tesler's Theorem says "AI is whatever hasn't been done yet". As computers are becoming increasingly capable, tasks previously considered to require intelligence are later often removed from the definition of AI. The traditional problems of AI research include reasoning, knowledge representation, planning, learning, natural language processing, perception and the ability to move and manipulate objects[1].
Supervised Learning
Unsupervised Learning
Reinforcement Learning
Example: Convolutional Neural Network
References
- ↑ Russell, Stuart J.; Norvig, Peter (2003), Artificial Intelligence: A Modern Approach (2nd ed.), Upper Saddle River, New Jersey: Prentice Hall, ISBN 0-13-790395-2