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

Office of Naval Research thinks cyborg locusts could help us sniff out explosives

Add as a preferred source on Google

Dogs are regularly used for sniffing out bombs due to their superior sense of smell. But Baranidharan Raman, Associate Professor of Biomedical Engineering at Washington University in St. Louis, has another idea which doesn’t involve canines. Instead, he thinks we will soon be turning the job of sniffing out explosive chemicals over to none other than backpack-wearing remote-control cyborg locusts. Yes, really!

Calling his work a “bridge between neuroscience and engineering,” Raman’s efforts may sound far-fetched, but they’re apparently serious enough to receive funding from the Office of Naval Research.

Recommended Videos

The proposal involves three core technologies, all of which will have to work together for this plan to fall into place. The first bit of tech involves special biocompatible silk tattoos marked on the wings of the locusts, which convert light into heat. Targeting these tattoos with a laser will supposedly allow a “pilot” to steer the insect, by controlling the heat it experiences to direct it left or right.

Second is the ability to work out what a locust is sniffing when it reaches an area of interest. To do this, Raman and his colleagues plan to implant the bug’s brain with an electrode, capable of feeding back its experiences to its human overlords.

Finally, transmitting this information is where the backpack comes in — since this miniature wearable will log the locust’s “neural energy” and send it back to operators.

As for how long we’ll be waiting until biblical plagues of locusts descending on bomb squads around the world, Raman says there’s still work to be done. “We’ve tested all of these technologies individually,” he tells Digital Trends. “The challenge now is to integrate them all together in the way that we want them to, and to put them through an extensive testing period. If all goes according to plan, I’d say we’re about a year away from deployment.”

Luke Dormehl
I'm a UK-based tech writer covering Cool Tech at Digital Trends. I've also written for Fast Company, Wired, the Guardian…
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