Lifeboat Foundation: Safeguarding Humanity
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Category: robotics/AI

https://www.youtube.com/watch?v=BVett3htjBM

Interstellar travel is the term used for hypothetical manned or unmanned travel between stars. Interstellar travel will be much more difficult than interplanetary spaceflight; the distances between the planets in the Solar System are less than 30 astronomical units (AU)—whereas the distances between stars are typically hundreds of thousands of AU, and usually expressed in light-years. Because of the vastness of those distances, interstellar travel would require a high percentage of the speed of light, or huge travel time, lasting from decades to millennia or longer.

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A look at the military 10 years into the future—human soldier deaths become unacceptable:

THERE will be no longer be human casualties of war from wealthy countries within 10 years as advanced militaries will begin sending MACHINES to warzones to do their bidding, an expert has claimed.

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Whenever we lose someone close to us, there’s an inclination, a need even, to sort through our memories of that person. Memories not just in our minds, but our digital memories too—emails, texts, photos, videos, social media posts.

But eventually, we have to stop looking through those texts and photos, because after a while, it’s like listening to a song on repeat for too long. The memories are static, they will never change, shift, and grow like the real person, and you just have to move on.

When Eugenia Kuyda lost her best friend, Roman Mazurenko, she wanted to memorialize him in a different way. As the cofounder of Luka, an artificial intelligence startup which recommends books and restaurants through a chat interface, Kuyda worked with her engineering team to collect thousands of Mazurenko’s texts and create a chatbot based on his personality.

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In Brief.

  • A task that would take one robot years to complete could be done in just a few weeks if multiple robots are allowed to communicate with one another.
  • As algorithms and technology advances, a robot cloud could help us best utilize bots within our daily lives.

Robots, for all their helpfulness in performing tasks that we would rather not do (usually because those tasks are dangerous or boring), first need to be coded in order to do the work. These specific sets of commands tell the machines what exactly they need to do and define how to do it.

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Self-driving car testing in California is becoming a badge of progress for companies working in the space. Only 17 companies in total have the honor, including two just added to the list: Wheego Electric Cars, and Valeo North America.

The Wall Street Journal reports that both these new companies now have approval to run tests with a single vehicle each, and four drivers per team. That might not sound like much, but it’s a foot in the door, and membership in the club is itself somewhat testament to how much the companies have already accomplished, since the other members include major carmakers like Tesla, Cruise (which got its license before being acquired by GM), promising startup Drive.ai, and Baidu, to name a few.

The new members are interesting additions: Wheego is an electric carmaker which got its start taking Chinese-Built cars, outfitting them with battery’s and electric motors in the U.S. and putting them on the road. The company now says it builds electric vehicles designed “for a global market,” and focuses on the benefits of connected tech in making vehicles aware of their surroundings.

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Neural Nanonics here we come: “Could lead to future autonomous, fully implantable neuroprosthetic devices”

Memristor chip (credit: University of Southampton)

A bio-inspired electronic device called a memristor could allow for real-time processing of neuronal signals (spiking events), new research led by the University of Southampton has demonstrated.

The research could lead to using multi-electrode array implants for detecting spikes in the brain’s electrical signals from more than 1,000 recording channels to help treat neurological conditions, without requiring expensive, high-bandwidth, bulky systems for processing data. The research could lead to future autonomous, fully implantable neuroprosthetic devices.

Schematic illustration of a solid-state titanium-oxide memristive device and atomic force microscopic (AFM) image a portion of a 32 × 32 crossbar array of memristors (credit: Isha Gupta/Nature Communications)

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Verizon has joined the likes of Facebook, Google and fellow telecommunications giant AT&T in exploring the potential of internet-connected unmanned aircraft. While its vision involves expanding 4G coverage across the US, it has an immediate focus on shoring up communications for first responders in emergency situations, and recently carried out trials to that effect.

Verizon has dubbed the initiative Airborne LTE Operations (ALO) and says it has actually been in the pipeline for around two years. The company has been working to integrate internet connectivity into unmanned aerial vehicles and hook them up to its 4G network, daisy chaining coverage and beaming it down to unconnected areas in the process. This is similar to how Facebook hopes its Aquila drones will work.

Verizon recently teamed up with company American Aerospace Technologies to see how using drones as gliding cell towers could have an impact in disaster relief scenarios. In a simulated mission in New Jersey, the team set a drone with a 17-foot (5.2 m) wingspan in flight to put the onboard technologies through their paces.

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You often hear people say we’re in the early days of artificial intelligence, probably the most important tech theme of the next century. It’s important to put real measurements on improvements to the technology. Google tried to do just that at a press event in San Francisco this morning. Here are the top lines:

• Image recognition has improved to 93.9% accuracy from 89.6% in 2014. It’s also more detailed; it can detect colors and analyze the content in images with more than one subject.

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