Accelerating AI with Project Brainwave and Intel FPGAs
For the first time, data scientists and developers are able to take advantage of FPGAs in a way that’s natural to them. Azure Machine Learning hardware accelerated models powered by Project Brainwave with Intel FPGAs…
Learning Models of Language, Action and Perception for Human-Robot Collaboration
Robots can act as a force multiplier for people, whether a robot assisting an astronaut with a repair on the International Space station, a UAV taking flight over our cities, or an autonomous vehicle driving…
Why Aren’t More Users More Happy With Our VMs?
Programming language Virtual Machines (VM)s are now widely used, from server applications to web browsers. Published benchmarks regularly show that VMs can optimise programs to the same degree as, and often substantially better than, traditional…
LiveHardware Development at UCSC
Prof. Renau will present the research effort by his team at University of California, Santa Cruz. The talk focuses in Live ASIC/FPGA flows to improve the productivity of hardware design, and if time permits a…
Clouds, catapults and life after the end of Moore’s Law with Dr. Doug Burger
Episode 23, May 9, 2018 – Dr. Burger talks about how advances in AI and deep machine learning have placed new acceleration demands on current hardware and computer architecture, offers some observations about the demise…