Prof. Dr. Daniel D. Hromada
dh@udk-berlin.de
Digital Education UdK / Einstein Center Digital Future
What is AI about ?
A mini-lecture "What is
0. Generalization
0.0. Classification
0.1 Regression
1. Prediction
2. (Machine) Learning
2.0 Supervised learning
2.1 Unsupervised learning
2.2 Reinforcement learning
2.3 Oracle learning
3. Operations with (and on) numbers
Scalars:::Vectors:::Matrices:::Spaces:::Tensors
3.0 Scalars
Scalar is a monadic, atomic, (i.e. non-divisible) entity.
A number, for example.
3.1 Vectors
Vector is an ordered sequence of scalars.
3.2 Matrices
Matrix is an ordered sequence of vectors.
3.3 Tensors
This topic is quite tense so let's not get into it today ;)
4. Agency
4.0 Sensing
By means of her sensors, AI is aware of phenomena occurent in her Um-welt.
4.1 Decision-making
...she makes decisions...
4.2 Action
...and acts accordingly, thus modifying her / our / Your consensual reality.
What is AI NOT about ?
...stay tuned...