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Blue Origin just announced the timing of its next rocket launch — and it’s surprisingly soon, in just two days, on Thursday, September 24. The launch of Blue Origin’s New Shepard vehicle will be its thirteenth overall for that category of launch craft, and the seventh in a row for this particular rocket. The payload will include an even dozen commercial cargo items, including a Deorbit, Descent and Landing Sensor Demonstration done in partnership with NASA — basically a highly precise automated landing system that will help NASA land on the moon and eventually Mars.

That payload is unique not just because of the technology involved in the landing system, but also because it’ll actually be mounted to the exterior of the New Shephard’s booster stage, rather than in the capsule that rides atop it. This is the first time that Blue Origin has carried a payload this way, and the company expects it could pave the way for similar future missions, enabling sensing at high altitudes, and experiments made possible through use of equipment exposed to the external environment.

NASA to test precision automated landing system designed for the moon and Mars on upcoming Blue Origin mission

Las Vegas hosted two successful test flights using unmanned aircraft to carry human organs and tissue last week. On Sept. 17th, MissionGo, a provider of unmanned aviation solutions and Nevada Donor Network, conducted two unmanned flights — one of which was the longest organ delivery flight in Unmanned Aircraft System (UAS) history. The first flight involved transport of research corneas fromSouthern Hills Hospital and Medical Center to Dignity Health — St. Rose Dominican, San Martín Campus.

In the sixties of the previous century, the science of Cybernetics emerged, which its founder Norbert Wiener defined as “the scientific study of control and communication in the animal and the machine.” Whereas the cyberneticists perhaps saw everything in the organic world too much as a machine type of regulatory network, the paradigm swapped to its mirror image, wherein everything in the natural world became seen as an organic neural network. Indeed, self-regulating networks appear to be ubiquitous: From the subatomic organization of atoms to the atomic organization of molecules, macromolecules, cells and organisms, everywhere the equivalent of neural networks appears to be present.

#EvolutionaryCybernetics #CyberneticTheoryofMind #PhilosophyofMind #QuantumTheory #cybernetics #evolution #consciousness


“At a deep level all things in our Universe are ineffably interdependent and interconnected, as we are part of the Matryoshka-like mathematical object of emergent levels of complexity where consciousness pervades all levels.” –Alex M. Vikoulov, The Syntellect Hypothesis.

Recommending content, powering chatbots, trading stocks, detecting medical conditions, and driving cars. These are only a small handful of the most well-known uses of artificial intelligence, yet there is one that, despite being on the margins for much of AI’s recent history, is now threatening to grow significantly in prominence. This is AI’s ability to classify and rank people, to separate them according to whether they’re “good” or “bad” in relation to certain purposes.

At the moment, Western civilization hasn’t reached the point where AI-based systems are used en masse to categorize us according to whether we’re likely to be “good” employees, “good” customers, “good” dates and “good” citizens. Nonetheless, all available indicators suggest that we’re moving in this direction, and that this is regardless of whether Western nations consciously decide to construct the kinds of social credit system currently being developed by China.

This risk was highlighted at the end of September, when it emerged that an AI-powered system was being used to screen job candidates in the U.K. for the first time. Developed by the U.S.-based HireVue, it harnesses machine learning to evaluate the facial expressions, language and tone of voice of job applicants, who are filmed via smartphone or laptop and quizzed with an identical set of interview questions. HireVue’s platform then filters out the “best” applicants by comparing the 25,000 pieces of data taken from each applicant’s video against those collected from the interviews of existing “model” employees.

There are four ways drones typically navigate. Either they use GPS or other beacons, or they accept guidance instructions from a computer, or they navigate off a stored map, or they are flown by an expert in control.

What do you when absolutely none of the four are possible?

You put AI on the drone and it flies itself with no outside source of data, no built-in mapping, and no operator in control.