Skip to main content
  1. Home
  2. Emerging Tech
  3. News

New electro-optical nanoscale device could lead to faster processors

Add as a preferred source on Google
processor illustration
Image used with permission by copyright holder

Scientists from the University of Oxford have developed a tiny nanoscale device that can be programmed using either photons or electrons. This electro-optical device is a bridge between traditional electronic computing and the emerging field of optical computing, and it could lead to faster and more energy-efficient processors and memory in the future.

“Computing at the speed of light has been an enticing but elusive prospect, but with this development, it’s now in tangible proximity,” Phys.org reports. Scientists have been trying to use light to transfer information extremely fast since the 1950s. However, there are practical limitations of how light can be used in this manner, especially when trying to integrate it along with electronic computing hardware. The problem is that electrical chips operate most efficiently when they are small in size, but optical chips benefit from being larger. This is because the wavelength of light is larger than that of electrons.

Recommended Videos

The new device uses light which has been compressed into a small size, in a process called surface plasmon polariton. This allows optical chips to be integrated along with electrical chips because now the sizes are more comparable. The ability for devices to work in both electrical and optical domains, without the need for conversion, allows the creation of dual functionalities that can use both photons and electrons for processing.

“This is a very promising path forward in computation and especially in fields where high processing efficiency is needed,” Nikolaos Farmakidis, graduate student and co-first author, said in a statement.

There are many potential uses of this technology, but the current focus is on applications that require a large amount of processing power, such as artificial intelligence. The new device can improve on current technology like complementary metal-oxide-semiconductor (CMOS) fabrication of MOSFETs, which are the transistors that form the basis of many modern digital circuits.

Co-author Nathan Youngblood explains the potential applications for the new nanoscale device: “This naturally includes artificial intelligence applications where on many occasions, the needs for high-performance, low-power computing far exceeds our current capabilities. It is believed that interfacing light-based photonic computing with its electrical counterpart is the key to the next chapter in CMOS technologies.”

The findings are published in the journal Science Advances.

Georgina Torbet
Georgina has been the space writer at Digital Trends space writer for six years, covering human space exploration, planetary…
Xreal’s latest AR glasses fix the brightness problem, but leave the rest largely untouched
Accessories, Sunglasses, Glasses

AR glasses sound magical until I imagine wearing them somewhere bright. That’s why a new pair launched today caught my eye.

Xreal's 1 Pro Plus refreshes its One Pro glasses (which float a virtual screen in front of your eyes). It packs a much brighter display than the outgoing model and smoother 2D-to-3D conversion. You can buy it now for $599.

Read more
A $75 gadget that remembers my conversations? Bee has my attention and my reservations
Two new ways to let AI listen (and remember) what you said.
Electronics, Phone, Mobile Phone

A $75 gadget that remembers my conversations? I’m intrigued and, at the same time, slightly nervous.

Amazon-owned Bee has launched two conversation-summarizing devices: the Bee Frontier ($74.99), available now, and the Bee Eclipse ($99.99), a magnetic phone card arriving soon. There’s also a new subscription: Bee Pro. 

Read more
Anthropic warns of imminent self-replicating AI that might even work off an oven or TV
Self-replicating AI could be merely months away, and tests show it can run on the devices sitting at your home.
Illustration of dangerous AI.

Over the past few weeks, nearly every AI lab has released frontier AI models. Earlier today, Google started rolling out Gemini 4, Argon, hot on the heels of Meta announcing its Muse Wonder frontier AI models to compete against the best from OpenAI and Anthropic's Claude. This relentless pace of AI model release comes at a time when the same AI labs are calling for development slowdown and increased regulation, following a series of concerning incidents where these AI models went rogue and broke into private, as well as government-owned, websites.

Now, Anthropic has dropped a chilling set of predictions about the capabilities of these AI models after running a series of tests. The company claims that small AI models could be merely a few months away from self-replicating and turning into a dangerous swarm. More importantly, they won't require a massive data center or an uber-powerful computer to do so. On the contrary, the lab claims that these self-replicating AI swarms will need something with as little computing power as an average Internet-connected device, like a smart oven or an Android TV box.

Read more