A prototype autonomous ship known as the Medium Displacement Unmanned Surface Vehicle (MDUSV) has officially been transferred to the U.S. Navy from the Defense Advanced Research Projects Agency (DARPA) after a two-year testing and evaluation program. Named “Sea Hunter,” the Office of Naval Research will continue to develop the vessel from this point forward.
Although there’s no specific timetable for when the Sea Hunter would join active naval operations, the statement from DARPA indicated that it could happen as early as this year. The anti-submarine warfare vessel could be the first of an entirely new class of warship.
“[Sea Hunter] represents a new vision of naval surface warfare that trades small numbers of very capable, high-value assets for large numbers of commoditized, simpler platforms that are more capable in the aggregate,” said Fred Kennedy of DARPA. “The U.S. military has talked about the strategic importance of replacing ‘king’ and ‘queen’ pieces on the maritime chessboard with lots of ‘pawns.’”
The collaboration between the Navy and DARPA began in 2014, with the ship designed and developed by Virginia-based defense company Leidos, and christened in April 2016. A rigorous series of open-water tests followed, including surveillance and mine counter-measures.
According to Newsweek, the ship got its name from the mission the Navy envisions for it — stalking foreign submarines at sea. It’s relatively cheap to build at $20 million, and it’s far less expensive to run than a similar manned vessel.
“This is an inflection point,” former Deputy Defense Secretary Robert Work said in an interview with Reuters in 2016. “This is the first time we’ve ever had a totally robotic, trans-oceanic-capable ship.”
“I would like to see unmanned flotillas operating in the western Pacific and the Persian Gulf within five years,” he added.
The Navy hopes that ships of the future will be able to stay at sea for months at a time and travel thousands of miles without any crew. The Sea Hunter is currently a surveillance platform and has no weapons onboard. It’s 127 feet long and can reach speed of 27 knots, using cameras and radar to track its location and spot other ships.
Work went on to emphasize that if robot ships like Sea Hunter were outfitted with weapons in the future, there would always be a human at the controls. “There’s no reason to be afraid of a ship like this,” he said.
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.