Any kid who grew up watching Transformers cartoons wanted one in real life — and now a robotics company and roller coaster manufacturer have teamed up to make that dream come true. Brave Robotics, SoftBank subsidiary Asratac, and Sansei Technologies in Japan have created a 12-foot-tall robot named “J-deite RIDE” that morphs into a sleek sports car in less than a minute.
The robot will purportedly be displayed on May 5 at the “GoldenWeek DOKIDOKI Festa All Working Cars Assemble!” festival in Tokyo, and will make its international debut at the IAAPA Attractions Expo for amusement parks in Florida this November.
Unsurprisingly, the CEO of Brave Robotics is a fan of movies and anime featuring giant transforming robots, and he’s been building them since he was a teenager. Kenji Ishida told Reuters Television, “I grew up believing that robots had to be capable of such things, which became my motivation to develop this robot.”
Legendary mechanical designer Kunio Owara also contributed to the design of the robot. Owara has lent his vision and influence to the robot designs in multiple manga and anime franchises, including the Gundam series.
Constructed mostly of aluminum and powered by a lithium battery, the Ride seats two people and weighs in at just under two tons. It can be controlled remotely as well as by a “driver.” The robot’s software, named V-Sido, controls the motion of the robot both in vehicle and walking mode, as well as the transformation between them.
Its maximum walking speed is 18 mph and the company says it can exceed 37 mph in driving mode, although the developers have limited testing to the factory where it was constructed. In fact, we don’t see the Ride in motion much in the video at all, and it’s a far cry from the Autobots and Decepticons many of us grew up watching.
Ishida admits it’s not practical for an everyday commute, but he hopes the robot will inspire future designers.
According to its website, the company is already working on an even larger prototype dubbed the “King J-deite” that’s more than 16 feet high. Their new creation will be unveiled in 2020.
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.