$GTCH n terms of applicability, Rittman outlines h
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"The AI domain is one of the biggest ones because with AI we need significant computing power if we want to run neural networks or machine learning algorithms," he said. "You need the hardware side to support that, and with more capability to put more circuitry on the silicon, then obviously it's going to be great for AI-based microchips."
"We predict that, at least, in the domain of AI, CPUs, GPUs, and memory. One more important aspect is the micro solar cell. This can be enormous as well, because now if I have much more real estate…I can charge the battery better and faster. So if I take, for example, a watch that uses micro solar cells, then you would not need to charge it every two or three days, but rather once in every three to six months."
But the efficiency gained by GBT's 3D multi planar approach not only has potential to advance technologies, it also aids in streamlining power consumption, making it greener.
https://www.barchart.com/story/news/2536422/s...lanar-chip