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If you talk to the co-founders of Campus startup Autoscriber, they will tell you the biggest revolution in healthcare will be data-driven. “The moment you talk to your doctor and say, ‘I have a headache,’ artificial intelligence will start to mine your whole medical history. It will compare it to other people with your genetic background to calculate what is the most likely diagnosis,” said Koen Bonenkamp, one of two Autoscriber co-founders. This is the company’s vision behind its software.
A startup based on Princeton research is rethinking the computer chip with a design that increases performance, efficiency and capability to match the computational needs of technologies that use artificial intelligence (AI). Using a technique called in-memory computing, the new design can store data and run computation all in the same place on the chip, drastically reducing cost, time and energy consumption in AI computations.