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

A breakthrough in cloak technology just caught the attention of the Defense Department

Add as a preferred source on Google

Researchers from the University of California-San Diego have created a breakthrough invisibility cloak that has caught the attention of the Defense Department due to its ability to hide objects from the naked eye. The UCSD team has been in contact with a Defense Department liaison and is preparing to submit a proposal detailing their cloaking technology, reports the Army Times.

The UCSD cloak attracted such significant attention due to its unique design which allows the invisibility shield to be lighter and cheaper than any other cloaking technology currently under development. UCSD Professor Boubacar Kante and his colleagues created a “dielectric metasurface cloak” which uses an ultra-thin, non-metallic material comprised of a Teflon substrate with embedded ceramic cylinders. Both teflon and ceramic is abundant, making it easy and inexpensive to produce. The combination of this very thin material, its non-metallic properties, and its cheap manufacturing costs set the UCSD design apart from competing cloaking technologies.

Recommended Videos

Due to the materials used in its design, the UCSD cloak works by manipulating electromagnetic waves, such as visible light or radio waves. Because it can scatter these waves, the material is able to resist visual or radar detection, potentially making an object invisible to radar or the naked eye. The material only operates within a narrow range of wavelengths, which means a single piece can only be used for a single purpose, such as hiding from radar. The ability to hide from sight, for example, would require another piece of the fabric built with a different thickness.

Despite its limitation, the cloak is very effective, requiring less material than previous technologies. Early cloaking designs required material ten times thicker than the wavelength being blocked. The UCSD cloak is effective at 1/10th of a wavelength, allowing the team to use only a 3mm piece of material to dodge a 3cm radar wave. Previous cloaking solutions needed approximately a foot of material to achieve the same results. The UCSD technology also can be adapted to block different wavelengths by modifying the thickness of the material being used. This would allow the military to use the material in a variety of different applications.

The military is interested in the breakthrough because it is “basically what the military’s looking for” in a cloaking solution, says Kayla Matola, research analyst from Homeland Defense & Security Information Analysis Center. It’s lightweight, cheap, and easily adaptable to new situations. Initial plans would call for small scale uses such as camouflaging unmanned aerial vehicles, while future uses may include larger endeavors like hiding ships, aircraft, and convoy vehicles from enemy radar.

Kelly Hodgkins
Kelly's been writing online for ten years, working at Gizmodo, TUAW, and BGR among others. Living near the White Mountains of…
Your holiday photos could help scammers figure out exactly where you are
AI can extract surprisingly precise location clues from innocent-looking Instagram and Facebook posts, making phishing scams much more convincing.
Photo on a holiday during sunset

That innocent holiday snap might be doing more than showing everyone how good the weather is. A new scam highlighted by The Guardian shows how criminals can use AI to analyse photos posted on Instagram and Facebook, work out where they were taken, and then use that information to make phishing messages look frighteningly legitimate.

The trick is surprisingly simple. Imagine posting a few family photos from Porto without mentioning the city anywhere. A few days later, a text arrives claiming that your bank detected unusual card activity while you were travelling in Porto and asking you to verify your details through a link. Because the message contains a detail that only someone who knows about the trip should know, it suddenly feels much more convincing. Except the scammer may never have known about the trip at all. The photo told them.

Read more
Meta and Google just got beaten by an AI giant you might not expect
Alibaba's Qwen AI model running on an Android phone.

The AI race usually revolves around familiar names like OpenAI, Google, Meta, and Anthropic. But when it comes to models developers can actually download and build upon, another company has raced to the front — and by quite some distance. Alibaba says its Qwen family of open-weight AI models has crossed 3 billion downloads globally over the past six months. That puts Qwen ahead of some of the biggest names in AI, including models from Meta and Google.

The difference is especially striking in Hugging Face data for 2026. Google’s open models have recorded around 418 million downloads, while Meta sits at roughly 227 million, according to Hugging Face’s latest State of Open Models report. Qwen, meanwhile, is becoming much more than one popular model. Alibaba has released more than 460 Qwen models, and developers have created over 300,000 derivative models from them.

Read more
Meta promised to stop creepy AI glasses videos, but they’re still all over Instagram
Instagram app

Smart glasses can be genuinely useful, whether you’re taking a hands-free photo, listening to music, or asking an AI assistant about whatever is in front of you. Unfortunately, putting a camera on someone’s face also opens the door to some much less pleasant uses. That’s becoming a problem for Meta.

Instagram head Adam Mosseri said in July that the platform was working to remove videos in which people use Meta glasses to film and harass others secretly. However, a new Business Insider investigation suggests the cleanup isn’t going quite as smoothly as Meta might have hoped. The publication found dozens of pickup and prank videos still available on Instagram weeks after Mosseri’s comments. Some came from popular or verified creators, and several showed women being approached and recorded in public through Meta glasses.

Read more