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Two quadrocopters construct a rope bridge strong enough to carry the weight of a human in the hypnotic video (above), uploaded to YouTube this week by researcher Federico Augugliaro. The impressive feat wasn’t a one-person operation. It’s the latest accomplishment from many researches and contributors at the Institute for Dynamic Systems and Control and Gramazio Kohler Research, and incorporates lessons learned from other tests at the Flying Machine Arena in Zurich, Switzerland.

The 10-by-10-by-10-meter portable space doubles as the setting of the footage and the lab in which many of the researchers, including Augugliaro, perform drone experiments and exercises. According to the Flying Machine Arena’s website, the room “consists of a high-precision motion capture system, a wireless communication network, and custom software executing sophisticated algorithms for estimation and control.”

Drone bridge GIF Drone bridge GIF

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Neil deGrasse Tyson and Edward Snowden recently discussed the idea that encryption mechanisms with advanced extraterrestrial species and humans could theoretically render communication as indistinguishable from cosmic background radiation. With only a short period of time in a species growth where open communication is broadcast to the stars (through the sluggish and primitive nature of radio broadcasts), this could prevent us (or other species) from making contact with one another.

With the Drake Equation stating a high probability of communicative extraterrestrial civilizations and the contrasting Fermi Paradox citing lacking evidence of such, it begs the question of whether outlying reasons have an impact. In my opinion, the Drake Equation rings true in the sense that hundreds of billions of stars exist in our galaxy alone (many with their own diverse planetary bodies), setting the stage for extraterrestrial life to disavow itself as insatiable ramblings. Unlike that which is eminent in the Fermi Paradox, I believe, in this case, a conclusion based off of inductive reasoning seems to hold more water than an evidence-only approach.

Keeping in mind the discussion in The Guardian article, a flaw of the Fermi Paradox’s evidence-based perspective should become apparent: secure, encrypted communication (cloaked by design) would render the existence of extraterrestrial intelligence invisible to the prying ear. If intentional, there could be many reasons for withholding this whereabouts of a species location. An abstract theory from science fiction may itself hold a degree of truth. An example of which, is the video game series ‘Mass Effect,’ where an advanced, sentient machine-race cleanse the galaxy of advanced life every 40,000 years. The reasoning for doing so is to “bring order to chaos” and for reasons “unfathomable.” Be it for an abstract reason such as this or simply for secure communication, the encryption of the resultant transmission’s presence wouldn’t register as noticeable to any observers. As nearly all signs of outside life would be mute, it then lays in the other senses that hold the most promise of enlightenment.

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The dimensionless aspect, since it has no dimensions, is outside of space and time. This is the key aspect to existence: an aspect outside of space and time perpetually interacting dialectically with an aspect inside space and time. All of the weird and wonderful phenomena of the universe are the products of this ultimate dichotomy.

http://youtu.be/MbRda_sCgkQ

Does this sound crazy? Then consider the evidence provided by black holes.

The R = 0 Universe.

Black holes are objects where gravity is so strong that light itself cannot escape the gravitational pull. They are the most mysterious objects in the universe and hold the key to the nature of reality. They open the door to understanding the fundamental composition of the universe.

Their hypothetical existence was first predicted in Einstein’s famous theory of General Relativity, but Einstein himself believed it was impossible for them to become real objects in the universe. The reason for that is that they exhibit a feature that physics cannot cope with or comprehend.

https://en.wikipedia.org/wiki/Multi-armed_bandit

In probability theory, the multi-armed bandit problem (sometimes called the K- or N-armed bandit problem) is a problem in which a gambler at a row of slot machines (sometimes known as “one-armed bandits”) has to decide which machines to play, how many times to play each machine and in which order to play them. When played, each machine provides a random reward from a distribution specific to that machine. The objective of the gambler is to maximize the sum of rewards earned through a sequence of lever pulls.


(Phys.org)—A combined team of researchers from France and Japan has created a decision-making device that is based on basic properties of quantum mechanics. In their paper published in Scientific Reports (and uploaded to the arXiv preprint server), the team describes the idea behind their device and how it works.

There is a classic decision-making problem that is known as the exploration-exploitation dilemma—it is typically described by suggesting a scenario where a gambler faced with a floor full of must decide which offers the best payout on a regular basis. In real life, the solution involves feeding all of the machines coins until a discernible pattern emerges. Computer algorithms have been developed to run essentially the same process. Now, however, that approach appears to be ready for an update, as the researchers with this new effort have come up with a way to run the same sort of algorithm without using any kind of computer. Instead, they use a laser, a and feedback device. The idea is based on the fact that laws are probabilistic in nature.

The device is based on prior research that has shown that if photons are fired from a proton gun at a 45 degree angle, they will each have an equal chance of being vertically or horizontally polarized when they strike a detector—thus a stream will have equal numbers of both. But, if the filter on the gun is changed slightly, to say fire at 44 or 46 degree angles, that increase the odds of the associated polarization. The team used that fact by adding a feedback loop to the system—data sent back representing a “win” on a slot machine caused the filter to move in one direction, while a loss moved it in the other. Over time, the preponderance of wins (indicating a learning process) from one virtual machine would drive the device towards indicating it was the winning choice.

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Scientists have designed a novel type of nanoscale solar cell. Initial studies and computer modelling predict these cells will outperform traditional solar panels, reach power conversion levels by over 40 percent.

Solar power cells work through the conversion of sunlight into electricity using photovoltaics. Here solar energy is converted into direct current. A photovoltaic system uses several solar panels; with each panel composed of a number of solar cells. This combines to create a system for the supply usable solar power.

To investigate what is possible in terms of solar power, the researchers have examined the Shockley-Queisser limit for different materials. This equation describes the maximum solar energy conversion efficiency achievable for a particular material, allowing different materials to be compared as candidates for power generation.

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The concept of artificial intelligence got it’s start at a conference at Dartmouth in 1956. Optimism ran high and it was believed that machines would be able to do the work of humans within 20 years. Alas, it was not to be. By the 1970’s, funding dried up and technology entered the period now known as the AI winter.

Slowly, however, progress was made. Computers became increasingly able to do human tasks, such as character recognition, making recommendations on Amazon and organizing itineraries on travel sites. We didn’t see the algorithms at work, but they were there, computing on our behalf.

So the answer to our technological dilemma is, in fact, all too human. While the past favored those who could retain and process information efficiently, the future belongs to those who can imagine a better world and work with others to make it happen.

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A viral video about a new app looks like a dream come true for anyone who struggles with math.

Based on the promo clip, PhotoMath, dubbed a “smart camera calculator,” appears to use smartphone cameras to scan a photo of a math equation in a textbook and display the answer instantly — similar to apps that scan barcodes and takes users to a link in a web browser. It looks like the app can also show step-by-step instructions for solving the problem.

PhotoMath’s parent company MicroBLINK launched the app this week at TechCrunch Disrupt Europe in London, TechCrunch reports. It is available in the App Store on iTunes.

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But the ultimate goals of the project are nothing short of amazing: “The best possible outcome is to map the entirety of existing cache of neural network algorithms and applications to this energy-efficient substrate,” said Modha. “And, to invent entirely new algorithms that were hereto before impossible to imagine.”


IBM scientists are advancing toward “neuromorphic” computing — digital systems that process information like the brain — and launching a complete ecosystem for brain-like computing, with important near-term applications and visionary long-term prospects.

“For decades, computer scientists have been pursuing two elusive goals in parallel: engineering energy-efficient computers modeled on the human brain and designing smart computing systems that learn on their own — like humans do — and are not programmed like today’s computers,” said Dharmendra S. Modha, IBM Fellow and Chief Scientist for brain-inspired computing.

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