Steel and aluminum are two very different metals, and getting them to bind together in a stable, continuous weld has been next to impossible on any kind of large scale. Honda Motor Vehicles has announced that it’s doing just that.
The solution has come via a variation on friction stir welding, and will allow Honda to join the materials via mechanical pressure in a way that will change how it make its cars — leading to better performance.
via DVICE
 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. |
