| Neural Network Hardware |
| FIRE |
| Asynchronous Artificial Neural Network Project. The aim is to develop a hardware implementation of an artificial neural network using asynchonous digital technology. The heart of the system is the proposed FIRE1 chip, a 256-neuron processing sub-system designed to allow multiple chips to be connected to form an artifical neural network of arbitrary size. The neurons communicate asynchronously via pulses generated using integrate and fire logic. |
| Intelligent Vision Chips and Smart Cameras |
| This class of System on Chip (SoC) integrated circuits are capable of detecting light as well as digitally processing the signal derived from the image to obtain synthetic information easily interpreted by the user. A complete vision system can thus be constructed with a very limited number of components. |
| LCNN Chip |
| The LCNN chip is a low cost neural network hardware device developed specifically for real-time control applications. Because it is an analog computing device it achieves a high degree of parallel computation in a smaller size and at lower power consumption than a digital equivalent. Furthermore, it simplifies electronic control systems because it does not require analog to digital (A/D) and digital to analog (D/A) conversion on inputs and outputs. |
| Neural Network Processor |
| Accurate Automation Corporation has designed and produced a line hardware, the Neural Network Processor (NNP), that provides true MIMD processing for the fastest possible network training, evaluation, and implementation. |
| pRAM-256 neurocomputer |
| The pRAM-256 is a versatile neural network processor with an on-chip learning unit. It offers the flexibility of a software solution with the speed of hardware. Connections between the pRAM neurons are reconfigurable which allows a network's architecture to be modified at any time. |
| VoiceDirect 364 |
| Voice Direct 364 provides cost-sensitive products with speaker-dependent speech recognition and speech synthesis. This easy-to-use pin-configurable chip requires no custom programming and can recognize up to 60 trained words in external-host mode, and 15 words in stand-alone mode. |
| See Also... |
| NN Hardware |
