Towering in at a colossal 17-feet tall, Michelangelo’s David statue is a spectacular work of art. Well, it turns out that it’s no less impressive when it’s under one millimeter in size — as experts from 3D-printing company Exaddon and the Laboratory of Biosensors and Bioelectronics at ETH in Zürich, Switzerland recently made clear.
In a dazzling demonstration, the collaborators teamed up to re-create the iconic David statue at two different (although both exceptionally tiny) scales. One was scaled down to 1:10,000, while the other was miniaturized even further to a scale of only 1:70,000. To put that pair of figures in context, the first one is around the same size as a poppy seed, just under 1 millimeter. The second one is around a tenth of a millimeter. Both are recognizable as the David statue, although the smaller of the two loses quite a few of the details of its much larger sibling. At that size, it’s hard to blame it too much, though!
Both 3D models were printed in metal using a special “state-of-the-art … confined electrodeposition 3D printing” method. This serves as a proof-of-concept for the work of startup Exaddon, which specializes in 3D-printed metal at a very small scale. On its website, Exaddon describes how its cutting-edge tech can be used to “additively micromanufacture metal objects or to repair minute metal structures at room temperature.” This can include tiny metal structures anywhere from a few micrometers in size up to several hundred micrometers. While producing miniature versions of masterpieces is one possible application, more likely ways will involve things like repairing microelectronics.
As impressive as this all is, however, it’s not the only stunningly small miniature Digital Trends has covered as of late. Last year, we wrote about Starship Odyssey, a Guinness World Record-winning short film officially recognized for having the smallest 3D stop-motion animation character in history. Its lead character is just 300 microns tall. That’s approximately the size of a single grain of dust.
A paper describing the Michelangelo’s David work (among other demos) was recently published in the journal Micromachines. It is titled “Additive Manufacturing of Sub-Micron to Sub-mm Metal Structures with Hollow AFM Cantilevers.”
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.