Below please find an index of news and awards that recognize Microsoft researchers’ contribution to scientific research and commitment to advancing computer science.
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.
Microsoft promises fast and flexible FPGA chips will unlock new AI abilities for customers using its Azure cloud-computing service.
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.
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”…
Microsoft CEO Satya Nadella is trying to distinguish the business technology giant from its technology brethren by focusing on digital privacy. That’s one of the takeaways from Nadella’s opening talk on Monday from Microsoft’s annual…
New developer tools for Windows and Azure IoT Edge Services enable real-time AI and machine learning for drones.
Microsoft says FPGA acceleration of models can actually be a good bit faster than GPU acceleration, so Azure Machine Learning Hardware Accelerated Models have the potential to create a super-fast AI infrastructure.
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.
Every day, thousands of gadgets and widgets whish down assembly lines run by the manufacturing solutions provider Jabil, on their way into the hands of customers. Along the way, an automated optical inspection system scans…
