A new chip developed by Penn Engineers uses light to accelerate AI training, offering faster processing and reduced energy consumption while enhancing data privacy. (Artist’s concept.) Credit: SciTechDaily.com
An innovative new chip uses light for fast, efficient AI computations, promising a leap in processing speeds and privacy.
Penn Engineers have developed a new chip that uses light waves, rather than electricity, to perform the complex math essential to training AI. The chip has the potential to radically accelerate the processing speed of computers while also reducing their energy consumption.
The silicon-photonic (SiPh) chip’s design is the first to bring together Benjamin Franklin Medal Laureate and H. Nedwill Ramsey Professor Nader Engheta’s pioneering research in manipulating materials at the
The interaction of light waves with matter represents one possible avenue for developing computers that supersede the limitations of today’s chips, which are essentially based on the same principles as chips from the earliest days of the computing revolution in the 1960s.
Nader Engheta, H. Nedwill Ramsey Professor, Penn Engineering. Credit: Felice Macera
Collaborative Innovation in Chip Design
In a paper published today (February 15) in SciTechDaily