"Impenetrable."
Developing a light-powered computer chip
University of Pennsylvania scientists have developed a new computer chip that
uses light instead of electricity, in an important step towards improving
the training of AI models by enhancing the speed of
data transmission more efficiently.
The recent :
"widespread" deployment of AI models in technology has increased
the demand for computers that can process large sets of information.
However
inefficient computing systems lead to high energy consumption.
Led by Nader Ingata :
Professor at the School of Engineering and Applied Sciences at the University of
Pennsylvania, the team designed a silicon photon chip (SiPh)
that can perform mathematical calculations using light.
Scientists said that light is the fastest way to transmit data known to humanity.
The extensive use of silicone can ensure that
the technology can be scaled up quickly.
The research team aims to design a chip that can perform "vector matrix"
processes (a common mathematical calculation), which is widely used in
the development and operation of neural networks that
are critical when developing the operating structure of existing AI models.
Scientists have reduced the height of
the chip in specific areas to control how light spreads inside.
However
the elevation variations control process confirmed that
light travels within the chip only in a straight line.
Frose Platone :
an associate professor of electrical and systems engineering at the university
said the chip could replace the GPUs used by companies to
train and classify their AI models.
It recommends that SiPh be an addition to
the existing infrastructure used by AI companies.
SiPh can address data privacy concerns
- as well as perform calculations
- faster with minimal
- electricity consumption.
The chip's ability to perform multiple calculations in parallel eliminates
the need to store information in working memory during calculations.
"No one can penetrate a memory that doesn't exist to access your information."
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