Add to ORKGThe objective of the RM team is to provide a platform to implement a hardware version of an algorithm that is too complex to be accommodated in a single FPGA or ASIC devide. In particular we shall concentrate on neeural simulations.RP 49/9
There are several neural network implementations using either software, hardware-based or a hardware...
Rückert U, Funke A, Pintaske C. Acceleratorboard for Neural Associative Memories. Neurocomputing. 19...
In this paper we present an FPGA based reconfigurable computing platform for prototyping and evaluat...
The neural network simulation plallorm provided by a family of Reconfigurable Machines (RM) suitable...
IEEE Computer Society Technical Committee on Real-Time Systems1993 IEEE Workshop on Real-Time Applic...
Summarization: Neuromorphic computing is expanding by leaps and bounds through custom integrated cir...
Despite the great strides neuroscience has made in recent decades, the underlying principles of brai...
Rückert U, Rüping S, Naroska E. Parallel Implementation of Neural Associative Memories on RISC Proce...
Abstra t. Neural networks are onsidered as naturally parallel omputing models. But the number of o...
The title #NAM stands for Parallel SImulation (PSI) for Neuronal Assembly Model(NAM). An instruction...
The objectives are to investigate the use of FPGA-based reconfigurable architecture to implement art...
doi: 10.4156/ijact.vol2.issue2.6 This paper constructs fully parallel NN hardware realization of Art...
It seems to be an everlasting discussion. Spending a lot of additional time and extra money to imple...
Living creatures pose amazing ability to learn and adapt, therefore researchers are trying to apply ...
This paper presents the work regarding the implementation of neural network using radial basis funct...
There are several neural network implementations using either software, hardware-based or a hardware...
Rückert U, Funke A, Pintaske C. Acceleratorboard for Neural Associative Memories. Neurocomputing. 19...
In this paper we present an FPGA based reconfigurable computing platform for prototyping and evaluat...
The neural network simulation plallorm provided by a family of Reconfigurable Machines (RM) suitable...
IEEE Computer Society Technical Committee on Real-Time Systems1993 IEEE Workshop on Real-Time Applic...
Summarization: Neuromorphic computing is expanding by leaps and bounds through custom integrated cir...
Despite the great strides neuroscience has made in recent decades, the underlying principles of brai...
Rückert U, Rüping S, Naroska E. Parallel Implementation of Neural Associative Memories on RISC Proce...
Abstra t. Neural networks are onsidered as naturally parallel omputing models. But the number of o...
The title #NAM stands for Parallel SImulation (PSI) for Neuronal Assembly Model(NAM). An instruction...
The objectives are to investigate the use of FPGA-based reconfigurable architecture to implement art...
doi: 10.4156/ijact.vol2.issue2.6 This paper constructs fully parallel NN hardware realization of Art...
It seems to be an everlasting discussion. Spending a lot of additional time and extra money to imple...
Living creatures pose amazing ability to learn and adapt, therefore researchers are trying to apply ...
This paper presents the work regarding the implementation of neural network using radial basis funct...
There are several neural network implementations using either software, hardware-based or a hardware...
Rückert U, Funke A, Pintaske C. Acceleratorboard for Neural Associative Memories. Neurocomputing. 19...
In this paper we present an FPGA based reconfigurable computing platform for prototyping and evaluat...