Lifeboat Foundation: Safeguarding Humanity
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Category: economics – Page 111

Imagine a manufacturing plant in which all the production equipment is continually changing in response to market needs. Robots churning out widgets, for instance, would reconfigure themselves based on data coming in from all points of the widget supply chain, as well as sensors monitoring the factory itself. The result is a smart factory that’s more agile and autonomous than previous generations of automation.

Also known as Industry 4.0, the smart factory runs on data and artificial intelligence, but connectivity forms the backbone of operations. The new fifth generation of mobile networks (5G) is a catalyst for this new industrial revolution because it offers much greater speed and bandwidth than previous networks, as well as low latency, or time required for data to travel between two points. 5G will work with and in some cases replace existing fixed, wired connections, making manufacturing more flexible and ready to implement innovations.

5G could replace wired Ethernet as well as Wi-Fi and 4G LTE networks that connect devices in factories, but one 5G supplier is starting with the basics: powering mobile devices and robots. At a new factory in Lewisville, Texas, Swedish telecom Ericsson has been turning out 5G infrastructure equipment with the aid of a 5G network in the plant itself. Ericsson, which is supplying 5G equipment to telecoms in the U.S. such as AT&T, Verizon, Sprint and T-Mobile, has forecast 190 million 5G subscribers by the end of 2020 and 2.8 billion by the end of 2025.

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Child psychiatrist Jon Jureidini and philosopher Leemon McHenry dispute the assumption that all approved drugs and medical devices are safe and effective. They warn that when clinical science is hitched to the pharmaceutical industry’s dash for profits, the scientific method is undermined by marketing spin and cherry-picking of data. They propose a solution inspired by philosopher of science Karl Popper: take drug testing out of the hands of manufacturers.”

It’s time to take trials out of the hands of pharmaceutical makers, argues the latest in a long line of books on corruption and the pharmaceutical industry.

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NASA is about to begin building its latest spacecraft. Called “Psyche” it will explore a 140 miles/226 kilometers-wide asteroid called “16 Psyche.” Today it’s passed a major milestone.

Why is NASA going to ‘16 Psyche?’

Located in the Solar System’s main asteroid belt between Mars and Jupiter, metal-rich 16 Psyche is thought to be the exposed metallic iron, nickel and gold core of a protoplanet. Most asteroids are rocky or icy.

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The best way to prevent this is by focusing on the basics. America needs a major all-of-society push to increase the number of U.S. students being trained in both the fundamentals of math and in the more advanced, rigorous, and creative mathematics. Leadership in implementing this effort will have to come from the U.S. government and leading technology companies, and through the funding of ambitious programs. A few ideas come to mind: talent-spotting schemes, the establishment of math centers, and a modern successor to the post-Sputnik National Defense Education Act, which would provide math scholarships to promising students along with guaranteed employment in either public or private enterprises.

Forget about “AI” itself: it’s all about the math, and America is failing to train enough citizens in the right kinds of mathematics to remain dominant.

By Michael Auslin

THE WORLD first took notice of Beijing’s prowess in artificial intelligence (AI) in late 2017, when BBC reporter John Sudworth, hiding in a remote southwestern city, was located by China’s CCTV system in just seven minutes. At the time, it was a shocking demonstration of power. Today, companies like YITU Technology and Megvii, leaders in facial recognition technology, have compressed those seven minutes into mere seconds. What makes those companies so advanced, and what powers not only China’s surveillance state but also its broader economic development, is not simply its AI capability, but rather the math power underlying it.

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It is often said that the 21st century will belong to China because China will grow its military, develop its economy, and completely integrate Hong Kong. However, in this video, I argue that the 21st Century won’t belong to China because it won’t take advantage of space resources and because it will attempt to grab more than it can chew in its ambitious endeavors.

PS: The stock footage from this photo comes from Videvo!

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Do the stimulus checks being sent to individuals to help in the coronavirus crisis count as a form of universal basic income? Andrew Yang thinks so. But, as WSJ’s Jason Bellini reports, others believe the intention behind UBI is misguided. Photo: Tom Brenner/Getty Images.

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Last year’s Netflix movie The Great Hack detailed the dark side of data collection, centered around the 2016 Cambridge Analytica scandal. The movie describes how “psychometric profiles” exist for you, me, and all of our friends. The data collected from our use of digital services can be packaged in a way that gives companies insight into our habits, preferences, and even our personalities. With this information, they can do anything from show us an ad for a pair of shoes we’ll probably like to try to change our minds about which candidate to vote for in an election.

With so much of our data already out there, plus the fact that most of us will likely keep using the free apps we’ve enjoyed for years, could it be too late to try to fundamentally change the way this model works?

Maybe not. Think of it this way: we have a long, increasingly automated and digitized future ahead of us, and data is only going to become more important, valuable, and powerful with time. There’s a line (which some would say we’ve already crossed) beyond which the amount of data companies have access to and the way they can manipulate it for their benefit will become eerie and even dystopian.

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Farmers have enough worries—between bad weather, rising costs, and shifting market demands—without having to stress about the carbon footprint of their operations. But now a new set of projects by scientists at Lawrence Berkeley National Laboratory (Berkeley Lab), including scientists at the Joint BioEnergy Institute (JBEI), could make agriculture both more sustainable and more profitable.

The three projects, funded by the U.S. Department of Energy (DOE), leverage Berkeley Lab’s strengths in artificial intelligence, sensors, and ecological biology. They aim to quantify and reduce the carbon intensity of agriculture, including the farming of biofuel feedstocks such as corn, soy, and sorghum, while also increasing yield.

Crop-based biofuels have the potential to supply up to about 5% of U.S. energy demand, according to the DOE. Two of the new projects are part of the SMARTFARM program of DOE’s Advanced Research Projects Agency-Energy (ARPA-E). This initiative aspires to make the biofuel supply chain carbon negative—meaning it removes or sequesters more carbon than it emits—which would greatly improve biofuel’s benefits to the broader economy and environment. Scientists also hope that the increased productivity will have the effect of lowering costs and increasing farmers’ income.

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