Previous work on learning regular languages from exemplary training sequences showed
that Long Short-Term Memory (LSTM) outperforms traditional recurrent neural networks …

Teleoperation with force feedback is a complex task and a good haptic device is a key
element. In this paper we present an innovative hardware/software structure used to control …

This paper introduces a concept which we believe will play a fundamental role in the
growing field of" evolutionary engineering", namely the idea that there are limits to what can …

Prof. Hugo de Garis has recently received a 3 million RMB, 4 year grant to build China's first
artificial brain, starting in 2008, that will consist of approximately 15,000 interconnected …

This Chapter shows how the first author and his research team build artificial brains [9]. An
artificial brain is defined to be a collection of interconnected neural network modules (10,000 …

This paper presents results of some of the first evolution experiments undertaken on an
actual CAM-Brain Machine (CBM), using the hardware itself and not software simulations. A …

Presents the results of some of the first evolvability experiments undertaken on CAM
(content-addressable memory) brain machines (CBMs), using the hardware itself (not …

This paper presents some simulation results of the evolution of 2D visual pattern recognizers
to be implemented very shortly on real hardware, namely the'CAM-Brain Machine'(CBM), an …

This paper presents results of some of the first evolution experiments undertaken on actual
CAM-Brain Machines (CBM), using the hardware itself and not software simulations. A CBM …

This paper elucidates the replicating of a human brain which is energy efficient. The power
consumption factor has been highly focused in this research. Attempts have been made to …