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

Neural implant turns regular grasshoppers into cyborg bomb-sniffers

Add as a preferred source on Google
 

Everyone’s familiar with sniffer dogs at airports, but how about bomb-sniffing grasshoppers? It sounds crazy, but that’s the mission researchers at Washington University in Missouri have been working toward. And it’s a whole lot less science-fiction-based than you might think.

Recommended Videos

Digital Trends first wrote about Washington University’s backpack-wearing cyborg locust project in 2016. At the time, Baranidharan Raman, associate professor of biomedical engineering, described the goal as being a “bridge between neuroscience and engineering.” Back then, the project had just received funding from the Office of Naval Research to make its insect-army dream a reality.

Now, approaching half a decade later, the researchers have written a paper describing their progress that’s currently available on the open-access preprint biology server bioRxiv. Titled “Explosive sensing with insect-based biorobots,” it reveals that the team has demonstrated a “biorobotic chemical-sensing approach where signals from an insect brain are directly utilized to detect and distinguish various explosive chemical vapors.”

Locust cyborg 1
Baranidharan Raman

In short, they built a “mobile multi-unit electrophysiological recording system” and implanted it, via a minimally invasive surgical approach, into locusts. This allowed them to “tap into the neural signals in a locust brain” so that it would react whenever it was exposed to select explosive chemical species, such as dinitrotoluene (DNT) or trinitrotoluene (TNT). In their paper, the researchers note how target chemical recognition can be achieved within a “few hundred milliseconds of exposure.” It can also distinguish between the different chemical species the locust is programmed to react to.

While the idea of using locusts might seem fanciful, the researchers suggest that there is a good reason for this. Researchers have tried building “electronic noses” for accurate sniff-related tasks. However, these are still quite limited. The concept of a “hybrid bi0electronic solution” is that it takes advantage of the sophisticated olfactory sensors that exist even in creatures as relatively simple as a locust. The end result, the Washington University investigators say, is a “cyborg chemical-sensing” system.

There’s no word on when this system will be rolling out into the real world. But it certainly sounds like progress has been made on the project. And, hey, cyborg insect bomb-detectors is the kind of tech that’s worth waiting for!

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…
Yet another study says AI is bad for elections, and the rabbit hole gets worse
AI may be an election bomb waiting for someone to light the fuse
Voters cast their ballots on Election Day

Another election, another study has concluded that asking an AI chatbot for political guidance is a spectacularly bad idea. Research conducted during Hungary’s 2026 parliamentary election found that ChatGPT and Google Gemini offered not just inaccurate but also inconsistent and unreliable voting advice. The chatbots misclassified voter profiles, overlooked relevant parties, recommended parties absent from the ballot, and sometimes produced materially different answers when given the same information repeatedly.

AI keeps failing the voter test

Read more
Samsung’s humanoid robot ambitions are real, but factories come first
Samsung’s new robotics division has humanoids in its sights, although its immediate business is far more practical factory automation
Robot Touch Human Finger

Samsung wants a place in the humanoid race, but its new robotics push begins with machines built for factories rather than homes.

The CEO-led RX robotics division will initially focus on manufacturing robots. Samsung has separately identified humanoids as a priority, although it hasn’t announced a commercial model or explained where one fits into the division’s immediate plans.

Read more
The future of AI may depend on this one behind-the-scenes change
Running Claude on Android.

Whenever a new AI model arrives, it's easy to get caught up in the bells and whistles. We talk about how much smarter it is, how quickly it answers questions, or how realistic its images have become. But here's the thing: none of that matters much if the AI can't reliably work with the apps and services people use every day.

That's why an upcoming update to the Model Context Protocol (MCP) caught my attention. It isn't a new chatbot or a fancy AI model. In fact, most people will never even know it's happening. But it could quietly make the AI ecosystem a lot healthier. If you've never heard of MCP before, don't worry. Think of it as a shared language that lets AI assistants safely talk to apps like Gmail, Slack, calendars, databases, and countless other services. Instead of every company inventing its own way to make those connections, MCP gives everyone a common rulebook.

Read more