Lifeboat Foundation: Safeguarding Humanity
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One of the oddest military drones aborning reinvents a stillborn technology from 1951. That’s because the unmanned aircraft revolution is resurrecting configurations that were tried more than a half century ago but proved impractical with a human pilot inside. The case in point: Northrop Grumman’s new Tern, a drone designed to do everything armed MQ-1 Predators or MQ-9 Reapers can, but to do it flying from small ships or rugged scraps of land – i.e., no runway needed.

“No one has flown a large, unmanned tailsitter before,” Brad Tousley, director of the Tactical Technology Office at the Defense Advanced Research Projects Agency (DARPA), Tern’s primary funder, said in a news release. The key word there is “unmanned.”

Back in 1951, when all sorts of vertical takeoff and landing aircraft ideas were being tried, Convair and Lockheed built experimental manned tailsitters for the Navy. Convair’s XFY-1 and Lockheed’s XFV-1, nicknamed “Pogo” and “Pogo Stick,” each had two counter-rotating propellers on its nose and was to take off and land pointing straight up. Convair’s Pogo had a delta wing and, at right angles to the wing, large fins. Lockheed’s Pogo Stick had an X-shaped tail whose trailing tips, like Convair’s wing and fins, sported landing gear.

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The following press release was written and and published by the Defense Advanced Research Projects Agency (DARPA) and originally published on their website. Click here to see the original version of this post.

On a recent sunny fall day in the nation’s capital, several hundred volunteers—each toting a backpack containing smartphone-sized radiation detectors—walked for hours around the National Mall searching for clues in a “whodunit” scavenger hunt to locate a geneticist who’d been mysteriously abducted. The geneticist and his abduction were fictitious. But the challenge this scavenger hunt was designed to address is real: The need to detect even small quantities of radioactive material that terrorists might try to bring into an urban area with the intent of detonating a “dirty bomb,” or worse. By getting volunteers to walk all day looking for clues, the DARPA-sponsored exercise provided the largest test yet of DARPA’s SIGMA program, which is developing networked sensors that can provide dynamic, real-time radiation detection over large urban areas.

A key element of SIGMA, which began in 2014, has been to develop and test low-cost, high-efficiency, radiation sensors that detect gamma and neutron radiation. The detectors, which do not themselves emit radiation, are networked via smartphones to provide city, state, and federal officials real-time awareness of potential nuclear and radiological threats such as dirty bombs, which combine conventional explosives and radioactive material to increase their disruptive potential. Following a demonstration earlier this year with the Port Authority of New York and New Jersey involving more than 100 SIGMA sensors, the 1,000-detector deployment in Washington, D.C., marked the largest number of SIGMA mobile detectors ever tested at one time and was a demonstration of the program’s ability to fuse the data provided by all those sensors to create minute-to-minute situational awareness of nuclear threats.

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In 3 years; can you imagine that?!

Not a week goes by without an update regarding headway made by one automobile manufacturer or another testing out their self-driving prototypes. Some have even started testing the vehicles on site, exciting all who want to embrace a future where self driving vehicles are a common site.

That future is not too far off, but imagine a future where airplanes fly without pilots.

In October Geo.tv reported about ALIAS a project funded by Defense Advanced Research Projects Agency (commonly known as DARPA); the ALIAS project run by Aurora Flight Sciences tested pilotless flying using a Cessna Caravan in Manassas, VA where instead of a pilot ALIAS a robot with tubes and pipes and claws flew the plane, with instructions being fed to it by a human pilot using a tablet PC.

Continue reading “Pilotless planes may be landing at airports by 2020” | >

Why Synbio computing is where we ultimately want to more and more progress towards especially once the basic infrastructure is updated with technology like QC.

Cells are often likened to computers, running an operating system that receives signals, processes their input, and responds, according to programming, with cellular output. Yet untangling computer-like pathways in cells is anything but simple, say Denise Montell, professor at the University of California, Santa Barbara, and Aviv Regev, a Howard Hughes Medical Institute investigator at the Massachusetts Institute of Technology and the Broad Institute. However, both are eager to try and will outline their latest efforts at the “Logic of Signaling” symposium at the 2016 ASCB Annual Meeting.

“My lab is understanding how cells maintain and build normal tissues. We’re studying cellular behaviors that underlie normal behavior and tumor metastasis, a great unsolved question in cancer,” Montell said. Her lab recently discovered that cells can bounce back from the brink of apoptotic cell death. “This wasn’t known before so now we’re looking at how cells do it, when do they do it, under what circumstances, and what does it mean,” Montell said.

To track these near-death experiences in cells the Montell lab generated a genetically coded sensor in Drosophila. The researchers expected the mechanism to be a stress response, but they found that it was normal during development. “It makes sense retrospectively,” Montell explained, pointing to neuronal development as an example. “You produce way more neurons that you need, and the neurons compete for trophic factors. If a group of cells are competing for trophic factors, then one cell starts to die, but if it gets more trophic factor, it could bounce back.”

Continue reading “Logic of Signaling” | >

When a human passes away, we create a tombstone as a memorial. Friends and family visit a grave to remember the times they had with that person while they were still alive. Memorial bots are another way to celebrate the life of someone who has passed away. A memorial bot is created by taking the messages sent by a deceased person and passing it through a machine learning model in order to make a bot that replicates the deceased person.

Eugenia Kuyda is the CEO of Luka, a company that builds AI products. When her friend Roman Mazurenko suddenly died, she worked with her team to make a bot that replicates his speech patterns. In our interview, we discussed memorial bots, deep learning, and the product Luka is working on–Replika, a personal AI friend for anyone.

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