Add to ORKGA Factor Graph is a probabilistic graphical model quite popular in the signal processing community, which recently gained favour as an alternative for modelling dynamic control systems. Such a Factor Graph can be interpreted as a model of brain-style information processing by emulating the behaviour of cognitive systems. In this project, the student shall implement such a factor graph in a SpiNNaker computing system. The spiNNaker is a massively parallel multi-core chip which consists of 18 ARM968 processor cores with integrated 128 MByte SDRAM per chip. It has inter-processor communication based on an efficient multicast infrastructure inspired by neurobiology. During the thesis, the students will evaluate and optimize the implementation o...
The performance of complex and advanced applications of industrial reports requires large computatio...
Implementation (on standard computers or GPUs) of the model of grid cells developed by Si et al.[1]....
The rapid development in the field of artificial intelligence has increased the demand for neuromorp...
A Factor Graph is a bipartite probabilistic graphical model representing the factorization of a func...
Abstract — A novel approach is proposed to the problem of managing a very large scale computer syste...
Abstract—The modelling of large systems of spiking neurons is computationally very demanding in term...
The modelling of large systems of spiking neurons is computationally very demanding in terms of proc...
SpiNNaker is a massively parallel distributed architecture primarily focused on real time simulation...
Robot Kinematics and Control has been a vital part in studying the motion of the robot manipulator. ...
My long-term research goal is to develop a methodology for robust real-time decision-making in auton...
SpiNNaker (Spiking Neural Network Architecture) is a specialized computing engine, intended for real...
This paper describes the architecture, the development and the implementation of Janus II, a new gen...
Abstract—This paper presents the algorithm and software developed for parallel simulation of spiking...
Abstract—This paper presents the algorithm and software developed for parallel simulation of spiking...
SpiNNaker is a massively-parallel machine designed for very-large scale neural net simulation in rea...
The performance of complex and advanced applications of industrial reports requires large computatio...
Implementation (on standard computers or GPUs) of the model of grid cells developed by Si et al.[1]....
The rapid development in the field of artificial intelligence has increased the demand for neuromorp...
A Factor Graph is a bipartite probabilistic graphical model representing the factorization of a func...
Abstract — A novel approach is proposed to the problem of managing a very large scale computer syste...
Abstract—The modelling of large systems of spiking neurons is computationally very demanding in term...
The modelling of large systems of spiking neurons is computationally very demanding in terms of proc...
SpiNNaker is a massively parallel distributed architecture primarily focused on real time simulation...
Robot Kinematics and Control has been a vital part in studying the motion of the robot manipulator. ...
My long-term research goal is to develop a methodology for robust real-time decision-making in auton...
SpiNNaker (Spiking Neural Network Architecture) is a specialized computing engine, intended for real...
This paper describes the architecture, the development and the implementation of Janus II, a new gen...
Abstract—This paper presents the algorithm and software developed for parallel simulation of spiking...
Abstract—This paper presents the algorithm and software developed for parallel simulation of spiking...
SpiNNaker is a massively-parallel machine designed for very-large scale neural net simulation in rea...
The performance of complex and advanced applications of industrial reports requires large computatio...
Implementation (on standard computers or GPUs) of the model of grid cells developed by Si et al.[1]....
The rapid development in the field of artificial intelligence has increased the demand for neuromorp...