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| 供应商 | T2M |
|---|---|
| 型号 | AKIDA - Neuromorphic Computing |
| 类型 | Soft IP |
| 到期日 | In Production |
| 源网址 | View more |
| 特征 | Most efficient spiking neural network implementation Able to replicate most of the CNN functionality 10 classifiers (517k Neurons) Right sized for embedded applications Contains Akida Neuron Model, training methodologies, and data-to-spike converters Feed-forward unsupervised training Unsupervised training with label classification Familiar TensorFlow environment with Keras APIs Programmable quantization during re-training Clock Speed: Khz—500MHz |
| 详情页 | View more |
| 附件链接 | View more |
The Akida Neuromorphic IP is the first neuromorphic IP available in the market. Inspired by the biological function of neurons but engineered on a digital logic process, this event-based spiking neural network (SNN) IP is inherently lower power than traditional convolutional neural networks (CNN) accelerator IP. Because the IP is based upon neuromorphic SNN, it enables unsupervised learning allowing for autonomous edge applications. The Akida Neuromorphic IP contains interfaces through a standard AIX bus making it easitly integrated with any ASIC controller. The Akida Neuromorphic IP offers unsurpassed performance on a performance-per-watt basis. The flexible Neural Processing Cores (NPCs) which form the Akida Neuron Fabric can be configured to perform convolutions (CNP) and fully connected (FNP) layers. The Akida Neuron Fabric enables SNNs to be placed in either a parallelized manner for ultimate performance or space-optimized to reduce silicon utilization and power consumption. Users can also modify the clock frequency, further optimizing performance and power consumption.
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