FPGAs take on convolutional neural networks
In the context of machine learning, a convolutional neural network (CNN, or ConvNet) can perhaps best be defined as a category of feed-forward artificial neural
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In the context of machine learning, a convolutional neural network (CNN, or ConvNet) can perhaps best be defined as a category of feed-forward artificial neural
Electroiq recently posted an article about Linley’s Cloud Hardware Conference. As the publication explains, the explosive growth in demand for bandwidth and cloud computing capacity poses
Steven Woo, VP of Systems and Solutions at Rambus, recently penned an article for Semiconductor Engineering about how FPGAs are helping to shape the computing
Brian Bailey of Semiconductor Engineering observes that systems on chip have been manufactured with numerous processing variants ranging from general-purpose CPUs to DSPs, GPUs and custom
Robert H. Dennard co-authored his now-famous paper for the IEEE Journal of Solid State Circuits way back in 1974. Essentially, Dennard and his engineering colleagues
Karl Freund of Moore Insights and Strategy recently penned an article for Forbes about Microsoft’s extensive deployment of FPGA’s in the data center and beyond.