We’ve reviewed plenty of drones over the years, and while they are predominantly used recreationally, the tiny buzzing gadgets have plenty of real world functionality. We reported earlier this year about a series of defibrillator drones undergoing testing in Sweden to reduce death and it looks like some drones in the U.S. may be gearing up for meteorological duty. The U.S. Naval Research Laboratory (NRL) is testing a fleet of hurricane research drones to better understand and predict the destructive forces of nature.
The Close-in Covert Autonomous Disposable Aircraft MK5, or CICADAs, are an inexpensive, autonomous, fleet of GPS-controlled drones. Unlike traditional aerial drones, the CICADAs have no motor or onboard propulsion system. Instead, the 1.2-ounce drones are released midair from an aircraft and then glide to their intended destination. Each CICADA has a “glide ratio” of about 3.5 to 1 — meaning the drone has the ability to glide forward 3.5 feet for every one foot it descends.
The latest CICADA prototype has flat wings and an overall flat build, enabling the “micro aircraft” to be easily stacked in canisters and deployed in large numbers. The Navy is currently using a delivery system that stacks 32 CICADAs into a single cylindrical container for deployment.
Once released from the aircraft, the drones glide to their “intended waypoint, enters an orbit, and then descends within that orbit until it reaches the ground,” according to Dr. Daniel J. Edwards, an aerospace engineer with NRL. The onboard GPS technology allows the CICADAs to navigate and land within roughly 15 feet of their intended target.
The NRL describes the CICADAs as “essentially a flying circuit board” and once deployed in the air, the drones will record chemical, biological, and meteorological information. The Navy hopes this data could be used to better understand the behavior of both hurricanes and tornadoes.
In the future, these research drones could be deployed from a host of aerial vehicles including traditional airplanes, balloons, precision guided munitions, and even other unmanned aircraft or drones. The Navy recently ran the drones through a series of tests in various locations and altitudes ranging up to 8,000 feet. You can watch the Institute of Electrical and Electronics Engineers Spectrum’s full video coverage of the event on YouTube.
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.
Military working dogs charge into places the rest of us would flee. So, I understand why anyone would want to breed tougher, healthier dogs for the job.
Warhound, a new startup from Colossal Biosciences co-founder Ben Lamm and Anduril co-founder Palmer Luckey, has stepped out of stealth with $200 million to clone and gene-edit working dogs for American troops, police departments, and emergency services (via TechCrunch).
AI can describe a picture, identify objects, and answer questions about what a camera sees. But when a blind user needs a quick answer, getting an entire spoken essay about the scene isn't exactly helpful. Researchers at the University of Maryland (UMD) have found that AI-powered visual assistance can leave blind users doing too much work to get the information they actually need.
The study, titled Say It My Way: Exploring Control in Conversational Visual Question Answering with Blind Users, examined how people interact with Be My AI, an AI-powered feature of the Be My Eyes app. The researchers found that users often received lengthy descriptions that didn't adequately address their immediate goals, forcing them to ask follow-up questions or find ways to steer the AI towards a more useful answer.