Fitness trackers, smartwatches, clever earpieces and other incredible wearables are the first wave in a new era in electronics. Most are hamstrung by limited battery power, so the next wave – an army of tiny sensors that autonomously transfer data to other devices, better known as the Internet of Things (IoT) – will rely on a revolution in battery technology. Cue 3D microbatteries. Read more at TechRadar
 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. |
