Lifeboat Foundation: Safeguarding Humanity
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Category: robotics/AI – Page 1938

Sound familiar? The team basically built molecular devices that “die” without “food.” Thanks to the laws of thermodynamics (hey ya, Newton!), that energy eventually dissipates, and the shapes automatically begin to break down, completing an artificial “circle of life.”

The new study took the system one step further: rather than just mimicking synthesis, they completed the circle by coupling the building process with dissipative assembly.

Here, the “assembling units themselves are also autonomously created from scratch,” said Hamada.

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Researchers from North Carolina State University and the University of Texas at Austin have developed a technique for detecting types of malware that use a system’s architecture to thwart traditional security measures. The new detection approach works by tracking power fluctuations in embedded systems.

“Embedded systems are basically any computer that doesn’t have a physical keyboard – from smartphones to Internet of Things devices,” says Aydin Aysu, co-author of a paper on the work and an assistant professor of electrical and computer engineering at NC State. “Embedded systems are used in everything from the voice-activated virtual assistants in our homes to industrial control systems like those used in . And that targets those systems can be used to seize control of these systems or to steal information.”

At issue are so-called micro-architectural attacks. This form of malware makes use of a system’s , effectively hijacking the hardware in a way that gives outside users control of the system and access to its data. Spectre and Meltdown are high-profile examples of micro-architectural malware.

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In a world first, surgeons just used a self-navigating surgery robot in an experimental surgery — training a robotic catheter to find its way to a leaky valve in a pig’s heart.

The new robot, described in research published in the journal Science Robotics on Wednesday, marks the beginning of the transition from robotic surgical tools to true robot-assisted surgeries, where autonomous devices can actually take the load off of overburdened human doctors.

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AI-powered video technology is becoming ubiquitous, tracking our faces and bodies through stores, offices, and public spaces. In some countries the technology constitutes a powerful new layer of policing and government surveillance.

Fortunately, as some researchers from the Belgian university KU Leuven have just shown, you can often hide from an AI video system with the aid of a simple color printout.

Who said that? The researchers showed that the image they designed can hide a whole person from an AI-powered computer-vision system. They demonstrated it on a popular open-source object recognition system called YoLo(v2).

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Prosthetics have advanced drastically in recent years. The technology’s potential has even inspired many, like Elon Musk, to ask whether we may be living as “cyborgs” in the not-too-far future. For Johnny Matheny of Port Richey, Florida, that future is now. Matheny, who lost his arm to cancer in 2005, has recently become the first person to live with an advanced mind-controlled robotic arm. He received the arm in December and will be spending the next year testing it out.

The arm was developed by Johns Hopkins Applied Physics Lab as part of their program Revolutionizing Prosthetics. The aim of the program, which is funded by the Defense Advanced Research Projects Agency (DARPA), is to create prosthetics that are controlled by neural activity in the brain to restore motor function to where it feels entirely natural. The program is specifically working on prosthetics for upper-arm amputee patients. While this particular arm has been demoed before, Matheny will be the first person to actually live with the prosthesis. The program does hope to have more patients take the tech for a longterm test run, though.

While the prosthetic device is impressive, it’s not a limitless, all-powerful robot arm. Matheney won’t be able to get the arm wet and is not allowed to drive while wearing it. Keeping a few rules in mind, Matheney will otherwise be free to push the tech to the edge of its capabilities, truly exploring what it can do.

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Bioengineers at Boston Children’s Hospital report the first demonstration of a robot able to navigate autonomously inside the body. In an animal model of cardiac valve repair, the team programmed a robotic catheter to find its way along the walls of a beating, blood-filled heart to a leaky valve—without a surgeon’s guidance. They report their work today in Science Robotics.

Surgeons have used robots operated by joysticks for more than a decade, and teams have shown that tiny robots can be steered through the body by external forces such as magnetism. However, senior investigator Pierre Dupont, Ph.D., chief of Pediatric Cardiac Bioengineering at Boston Children’s, says that to his knowledge, this is the first report of the equivalent of a self-driving car navigating to a desired destination inside the body.

Dupont envisions assisting surgeons in complex operations, reducing fatigue and freeing surgeons to focus on the most difficult maneuvers, improving outcomes.

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Researchers at Rady Children’s Institute for Genomic Medicine (RCIGM) have utilized a machine-learning process and clinical natural language processing (CNLP) to diagnose rare genetic diseases in record time. This new method is speeding answers to physicians caring for infants in intensive care and opening the door to increased use of genome sequencing as a first-line diagnostic test for babies with cryptic conditions.

“Some people call this , we call it augmented intelligence,” said Stephen Kingsmore, MD, DSc, President and CEO of RCIGM. “Patient care will always begin and end with the doctor. By harnessing the power of technology, we can quickly and accurately determine the root cause of genetic diseases. We rapidly provide this critical information to physicians so they can focus on personalizing care for babies who are struggling to survive.”

A new study documenting the process was published today in the journal Science Translational Medicine. The workflow and research were led by the RCIGM team in collaboration with leading technology and data-science developers —Alexion, Clinithink, Diploid, Fabric Genomics and Illumina.

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For years, post traumatic stress disorder (PTSD) has been one of the most challenging disorders to diagnose. Traditional methods, like one-on-one clinical interviews, can be inaccurate due to the clinician’s subjectivity, or if the patient is holding back their symptoms.

Now, researchers at New York University say they’ve taken the guesswork out of diagnosing PTSD in veterans by using artificial intelligence to objectively detect PTSD by listening to the sound of someone’s voice. Their research, conducted alongside SRI International — the research institute responsible for bringing Siri to iPhones— was published Monday in the journal Depression and Anxiety.

According to The New York Times, SRI and NYU spent five years developing a voice analysis program that understands human speech, but also can detect PTSD signifiers and emotions. As the NYT reports, this is the same process that teaches automated customer service programs how to deal with angry callers: By listening for minor variables and auditory markers that would be imperceptible to the human ear, the researchers say the algorithm can diagnose PTSD with 89% accuracy.

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