Article Image

Neural implant turns regular grasshoppers into cyborg bomb-sniffers

But don't expect to see them at the airport just yet

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.

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.”

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!

San Francisco startup Dimensional advertised for people to walk robot dogs through city streets. The New York Times reported that the job could include carrying a roughly 33-pound robot back to the office if it overheated. A lift home is an awkward requirement for a labor-saving machine.

Keeping the hardware running is only one challenge. Anthropic's robotics tests found that language models mostly failed when controlling joints directly, but did better when directing trained controllers. Giving an AI agent a body doesn't teach it to handle ordinary household objects.

Soon, a mattress protector may be more than a bed cover. Australian medtech company Sleeptite and researchers at RMIT University have received a US patent for FlexiSense, a smart bedding technology that tracks body position and posture to help caregivers identify when older residents may be at risk of falling.

The technology is being developed for Sleeptite’s in-bed monitoring system, REMi, and was recently on display at The MedTech Conference in Boston. A peer-reviewed study in Flexible and Printed Electronics says the sensors can also be made at scale without sacrificing performance or durability.

AI companies spend enormous amounts of time convincing us their technology is safe and secure. But what happens when those same companies become targets of increasingly sophisticated AI-powered attacks? Anthropic, the company behind Claude, is now facing that question. According to a Washington Post report, cybersecurity startup Cathedral discovered vulnerabilities that let its researchers access sensitive information in Anthropic's internal systems.

The researchers used AI agents to identify potential entry points in less than 12 hours. Interestingly, they didn't need to crack Claude itself. Instead, they exploited weaknesses in third-party business applications that Anthropic uses for everyday operations. Anthropic's security testing program disclosed the findings, which allows outside researchers to identify and report vulnerabilities.