ResistiveProcessingUnit
Latest
IBM wants to accelerate AI learning with new processor tech
Deep neural networks (DNNs) can be taught nearly anything, including how to beat us at our own games. The problem is that training AI systems ties up big-ticket supercomputers or data centers for days at a time. Scientists from IBM's T.J. Watson Research Center think they can cut the horsepower and learning times drastically using "resistive processing units," theoretical chips that combine CPU and non-volatile memory. Those could accelerate data speeds exponentially, resulting in systems that can do tasks like "natural speech recognition and translation between all world languages," according to the team.
