In the news | ZDNet
Machine learning algorithms are among those that FPGAs can turbo-charge. And that's how an FPGA-based architecture for deployed ML models leads to a service called Azure Machine Learning Hardware Accelerated Models.
An initiative called Project Brainwave lets developers in Microsoft's data centers use field-programmable gate arrays (FPGAs), which can be customized even after they've been plugged into servers.
In the news | ZDNet
In the news | Microsoft News
A new partnership between Microsoft and leading drone maker DJI builds on the work both companies are doing with data and agriculture that could make it easier and more affordable for farmers to quickly get the information they need to…
In the news | Microsoft News
New developer tools for Windows and Azure IoT Edge Services enable real-time AI and machine learning for drones.
In the news | Wired
Microsoft is pitching the idea of running AI projects atop chips called FPGAs, whose designs can be reprogrammed to support new forms of software on the fly.
Microsoft promises fast and flexible FPGA chips will unlock new AI abilities for customers using its Azure cloud-computing service.
In the news | Intel Developer Zone
Today, Microsoft* announced a public preview of Azure Machine Learning Hardware Accelerated Models powered by Project Brainwave*, a new AI inferencing service. The service uses Intel® Arria® 10 FPGAs, configured as “soft DNN processing units” highly-tuned to the ResNet-50 image…