Tufts University researchers have proposed two methods for making brain and computational performance more efficient.
The researchers created a brain-scanning headband device based on functional near infrared spectroscopy, which they had students engaged in various experiments wear.
The device reads the amount of blood flow and brain activity occurring as the students proceeded through lessons or simulated routines, automatically customizing tasks to their abilities to learn and retain information.
Tufts' Robert Jacob said the goal is to build an implicit user interface.
Fellow researcher Mark Hempstead devised the HotGauge computer model to detect hotspots in microprocessors. The model can help find ways to minimize overheating by redesigning the chips or the programs that run on them, using simulated microprocessors and applications to pinpoint trouble spots.
From Tufts Now
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