Who would’ve thought that something mundane could be so beautifully complex inside? Here’s Kevin Twomey dissecting and photographing the insides of mechanical adding machines, revealing their gorgeous innards of gears, springs, and other mechanical components.
via Neatorama
 Quantized Neural Networks for FPGA InferenceSponsored by Intel Implementing a low precision network in FPGA hardware for efficient inferencing provides numerous advantages when it comes to meeting demanding specifications. The increased flexibility allows optimization of throughput, overall power consumption, resource usage, device size, TOPs/watt, and deterministic latency. These are important benefits where scaling and efficiency are inherent requirements of the application. |
