Picking apples may seem like a fun weekend activity, but it’s actually backbreaking manual labor. Abundant Robotics wants to help agricultural growers shoulder this task and today announced funding of $10 million, led by GV, to commercialize its apple-picking robot.
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 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. |
