VeriSilicon Launches VIP9000, New Generation of Neural Processor Unit IP | Markets Insider
TOPS, Memory, Throughput And Inference Efficiency
Synopsys ARC NPX6 NPU Family for AI / Neural Processing
Atomic, Molecular, and Optical Physics | Department of Physics | City University of Hong Kong
Micro-combs enable 11 TOPS photonic convolutional neural networ...
![PDF] A 0.3–2.6 TOPS/W precision-scalable processor for real-time large-scale ConvNets | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/f2dd73ae127c5ee3713a92e1057eddea92fbf207/2-Figure1-1.png "PDF] A 0.3–2.6 TOPS/W precision-scalable processor for real-time large-scale ConvNets | Semantic Scholar")
PDF] A 0.3–2.6 TOPS/W precision-scalable processor for real-time large-scale ConvNets | Semantic Scholar
A 161.6 TOPS/W Mixed-mode Computing-in-Memory Processor for Energy-Efficient Mixed-Precision Deep Neural Networks (유회준교수 연구실) - KAIST 전기 및 전자공학부
11 TOPS photonic convolutional accelerator for optical neural networks | Nature
As AI chips improve, is TOPS the best way to measure their power? | VentureBeat
11 TOPS photonic convolutional accelerator for optical neural networks | Nature
Looking Beyond TOPS/W: How To Really Compare NPU Performance
FPGA Conference 2021: Breaking the TOPS ceiling with sparse neural networks - Xilinx & Numenta
Accuracy and compute requirement (TOPS) comparison between object... | Download Scientific Diagram
A 617-TOPS/W All-Digital Binary Neural Network Accelerator in 10-nm FinFET CMOS | Semantic Scholar
Measuring NPU Performance - Edge AI and Vision Alliance
![PDF] A 3.43TOPS/W 48.9pJ/pixel 50.1nJ/classification 512 analog neuron sparse coding neural network with on-chip learning and classification in 40nm CMOS | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/a2e283532b71e9b6af7addb3b3f4f4a1af6e0fb4/2-Figure1-1.png "PDF] A 3.43TOPS/W 48.9pJ/pixel 50.1nJ/classification 512 analog neuron sparse coding neural network with on-chip learning and classification in 40nm CMOS | Semantic Scholar")
PDF] A 3.43TOPS/W 48.9pJ/pixel 50.1nJ/classification 512 analog neuron sparse coding neural network with on-chip learning and classification in 40nm CMOS | Semantic Scholar
11 TOPS photonic convolutional accelerator for optical neural networks | Nature
Essential AI Terms: Tips for Keeping Up with Industrial DX | CONTEC
Imagination Announces First PowerVR Series2NX Neural Network Accelerator Cores: AX2185 and AX2145
Renesas AI accelerator operates at 8.8TOPS/W
EdgeCortix Announces Sakura AI Co-Processor Delivering Industry Leading Low-Latency and Energy-Efficiency | EdgeCortix
A 0.32–128 TOPS, Scalable Multi-Chip-Module-Based Deep Neural Network Inference Accelerator With Ground-Referenced Signaling in 16 nm | Research
11 TOPS photonic convolutional accelerator for optical neural networks | Nature
