50 years of artificial intelligence
... cochleas and spiking neural networks, in order to model the embodied control system of the robots. The method chosen to find the most appropriate parameters that determine robots’ behaviour is evolutionary computation techniques, with the aim of avoiding any human intervention in this task. Then, ‘‘A ...
... cochleas and spiking neural networks, in order to model the embodied control system of the robots. The method chosen to find the most appropriate parameters that determine robots’ behaviour is evolutionary computation techniques, with the aim of avoiding any human intervention in this task. Then, ‘‘A ...
Slide 1
... The Greek inventor and physicist Ctesibus ('ti sib ee uhs') of Alexandria designs water clocks that have movable figures on them. Water clocks are a big breakthrough for timepieces. Up until then the Greeks used hour glasses that had to be turned over after all the sand ran through. Ctesibus' invent ...
... The Greek inventor and physicist Ctesibus ('ti sib ee uhs') of Alexandria designs water clocks that have movable figures on them. Water clocks are a big breakthrough for timepieces. Up until then the Greeks used hour glasses that had to be turned over after all the sand ran through. Ctesibus' invent ...
The Visual System: From Eye to Cortex - U
... from two 2-D retinal images thus depth perception is partially achieved from this (remember, we can still perceive depth with one eye closed) ...
... from two 2-D retinal images thus depth perception is partially achieved from this (remember, we can still perceive depth with one eye closed) ...
Scalable spatial event representation
... using supervised and unsupervised learning techniques is used to label the image features. SECs can be used to not only visualize the dominant spatial arrangements of feature classes but also discover non-obvious configurations. SECs also provide the framework for high-level data mining techniques s ...
... using supervised and unsupervised learning techniques is used to label the image features. SECs can be used to not only visualize the dominant spatial arrangements of feature classes but also discover non-obvious configurations. SECs also provide the framework for high-level data mining techniques s ...
