Researchers at the University of Texas at Arlington have come up with a way to build a nickel alloy windmill so small, 10 of them could be mounted on a grain of rice. And if all goes as planned, hundreds of the little things could end up in a case that charges up your smartphone.
via Gizmodo
 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. |
