The massive oceanic concentration of debris and microplastics –not-so-affectionately known as the Great Pacific Garbage Patch– has been growing for years. Thankfully, the non-profit, Ocean Cleanup, plans to use a sailing sea screen to clean up this and other “marine trash vortices” around the globe.
Originally, Ocean Cleanup had proposed anchoring a large “plastic-collecting trap” to the sea floor, nearly three miles beneath the Garbage Patch. However, the plan caused a stir among conservationists. Oceanographer, Dr. Kim Martini expressed concern about “the inevitable growth of marine life on the structure – which will change the hydrodynamics and may add considerable load to the structure.”
The project now utilize a series of drifting surface units to collect debris. The Ocean Cleanup system uses a “floater” made of high-density polyurethane. This apparatus is semi-rigid, meaning it is solid enough to maintain the necessary U-shape, while also being flexible enough to undulate with the ocean surface. When completed, this system will be more than one mile in length.
In the past, researchers have proposed using large nets to capture debris, however, these can be detrimental to local aquatic life. Instead, the Ocean Cleanup project incorporates a solid screen to catch this material. This screen is able to collect debris as small as one centimeter in size, and unlike traditional nets, the screen will allow sea life to safely pass beneath or around it. This permeable sea filter is made of fiber-reinforced thermoplastic polyurethane, which should be durable enough to sift the high seas for decades.
The screen attaches to a trailing sea anchor, preventing the system from drifting at the same speed as the ocean current. This minimal drag allows the floater and screen to collect material as it drifts. Once the screen is packed to the gills with sea garbage, a support vessel collects the captured debris using a system of belts and pumps. The collected waste is then shipped inland, where it can be processed, recycled, and reused.
Computer models estimate this Ocean Cleanup system could reduce the Great Pacific Garbage Patch by nearly 50 percent within five years. After a recent design change, donors contributed an additional $21.7 million to the initiative, bumping the total funding to $31.5 million. Ocean Cleanup plans to deploy a pilot in the North Pacific by late 2017 with the first operational design slated for mid-2018.
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.