Today IBM Research announced that solar and wind forecasts produced using machine learning and other cognitive computing technologies are proving to be as much as 30 percent more accurate than ones created using conventional approaches.
Today IBM Research announced that solar and wind forecasts produced using machine learning and other cognitive computing technologies are proving to be as much as 30 percent more accurate than ones created using conventional approaches.
In this guest article, our friends at Intel discuss how accelerated computing has diversified over the past several years given advances in CPU, GPU, FPGA, and AI technologies. This innovation drives the need for an open and cross-platform language that allows developers to realize the potential of new hardware, minimizes development cost and complexity, and maximizes reuse of their software investments.
The study results summarized in this white paper show that firms are already using workstations to lower the cost, increase the security, and speed up their AI infrastructure. The addition of workstations into a firms AI workflow allows servers and cloud platforms to be tasked with business cases that require more robust computing while workstations take on tasks with longer time frames and smaller budgets.
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