Artificial Intelligence is the Apex technology of the information age and will impact absolutely everything in our workplace and lives. Goldman Sachs Researchers believe that “Today’s machine self-learning capability is the most far-reaching and significant advancement of the 21st century.”
Simply put, our world is moving beyond people instructing machines to operate by pre-programmed coding to a new era where people present problems to machines – not coded rules. These new robotic minds are now capable of solving the world’s problem on their own announces Heath Terry, Senior Internet Researcher at Goldman Sachs Research.
Google DeepMind is an illustration of the AI deep learning breakthroughs occurring now – not years in the future as many imagine. Google’s AlphaGo AI program beat a human world champion Go player—an ancient Chinese game—for the first time. This win was extraordinary because the possibilities of the game were endless and could not be preprogrammed.
Even social skills are not beyond the reach of our AI robotic assistants. Powered in part by a DroneData Extreme 20 GPU Accelerated Server populated with four Nvidia M5000 GPUs the Socially-Aware Robot Assistant named SARA made her second debut. Developed in the ArticuLab at Carnegie Mellon University she attended the 2017 World Economic Forum and demonstrated that the first hurdle of people working closely with self-learning machines can be overcome by understanding spoken words and facial expressions.
Intel’s low power Vision Processing Unit (VPU) will rapidly add another universe of capabilities to our new AI robotic friends. My Amazon Alexa makes me laugh when I say “Alexa – Am I pretty today.” Her most often response is “I can’t see you yet – but I hear you are very pretty.” What will our day be like when all devices in our lives have machine intelligence and vision?
Today there is a wide range of applications requiring specific computing platforms capable of delivering massive floating point operations per second (FLOPS) from the CPU and GPU. Cloud providers are attempting to address this new demand by adding GPU offerings. GPU cloud computing falls short on Giga/Tera FLOPS delivery because their instances are built on shared server (virtualized) infrastructure.
DroneData dedicated hardware servers utilizing the latest unlocked Intel i7 Broadwell CPUs coupled with Nvidia GPU Accelerators power the demands of all applications requiring GPU acceleration. All DroneData hosted Windows and Linux GPU Accelerated Server configurations are built on single tenant – dedicated hardware platforms, never virtualized.