Lifeboat Foundation

The Clemson Composites Center is developing new ways of 3D-printing low-cost manufacturing tools and is funding the research with $5.16 million from the U.S. Department of Energy’s Advanced Manufacturing Office and industry partners. Collaborators on the project include Honda Development & Manufacturing of America, Ohio State University and Additive Engineering Solutions, LLC.

The Clemson Composites Center is leading a new study that could help manufacturers save time and money while reducing their environmental impact– a project that adds to the center’s fast-growing portfolio of industry-guided automotive and advanced manufacturing research.

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Your resting expression may reveal your socio-economic status.

What We Owe The Future is available now — you can get it wherever you get your (audio)books or here: https://www.amazon.com/What-Owe-Future-William-MacAskill/dp/…atfound-20
This video was sponsored by the author, Will MacAskill. Thanks a lot for the support.

Sources & further reading:
https://sites.google.com/view/sources-civilization-collapse/

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Title: Strong AI: Why we should be concerned about something nobody knows how to build.
Synopsis: At the moment, nobody fully knows how to create an intelligent system that rivals or exceed human capabilities (Strong AI). The impact and possible dangers of Strong AI appear to concern mostly those futurists that are not working in day-to-day AI research. This in turn gives rise to the idea that Strong AI is merely a myth, a sci fi trope and nothing that is ever going to be implemented. The current state of the art in AI is already sufficient to lead to irrevocable changes in labor markets, economy, warfare and governance. The need to deal with these near term changes does not absolve us from considering the implications of being no longer the most intelligent beings on this planet.
Despite the difficulties of developing Strong AI, there is no obvious reason why the principles embedded in biological brains should be outside of the range of what our engineering can achieve in the near future. While it is unlikely that current narrow AI systems will neatly scale towards general modeling and problem solving, many of the significant open questions in developing Strong AI appear to be known and solvable.

Talk held at ‘Artificial Intelligence / Human Possibilities’ event as adjunct to the AGI17 conference in Melbourne 2017.

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Aviation is responsible for around five percent of human-induced climate change.

Commercial aviation has become a cornerstone of our economy and society. It allows us to rapidly transport goods and people across the globe, facilitates over a third of all global trade by value, and supports 87.7 million jobs worldwide. However, the 80-tonne flying machines we see hurtling through our skies at near supersonic speeds also carry some serious environmental baggage.

My team’s recent review paper highlights some promising solutions the aviation industry could put in place now to reduce the harm flying does to our planet. Simply changing the routes we fly could hold the key to drastic reductions in climate impact.

“This makes agri-PV systems increasingly attractive for agriculture, because it provides a way to keep domestic agriculture competitive with the international market and to enable farmers to earn additional income,” explains Max Trommsdorff, project manager at Fraunhofer ISE. “At the same time, we can drive the expansion of renewable energies, reduce pressure on scarce land and increase resilience to weather extremes and climate change in different farming systems.”

Nevertheless, only a few projects have been realised so far. Those involved in the project see one of the crucial hurdles in the existing legal framework. These include inadequate incentive systems and comparatively complex approval processes. In addition, there are growing concerns about the acceptance of the local population and the attractiveness of the landscape.

Such economic, legal and social hurdles are to be compiled within the framework of the project. Subsequently, the participants want to work out proposals for solutions on how to reduce and overcome these hurdles. The focus should be on the optimal use of the potentials and the avoidance of wrong decisions in the application of agriphotovoltaics.

Mathematical derivations have unveiled a chaotic, memristor-based circuit in which different oscillating phases can co-exist along six possible lines.

Unlike ordinary electronic circuits, chaotic circuits can produce oscillating electrical signals that never repeat over time—but nonetheless, display underlying mathematical patterns. To expand the potential applications of these circuits, previous studies have designed systems in which multiple oscillating phases can co-exist along mathematically-defined “lines of equilibrium.” In new research published in The European Physical Journal Special Topics, a team led by Janarthanan Ramadoss at the Chennai Institute of Technology, India, designed a chaotic circuit with six distinct lines of equilibrium—more than have ever been demonstrated previously.

Chaotic systems are now widely studied across a broad range of fields: from biology and chemistry, to engineering and economics. If the team’s circuit is realized experimentally, it could provide researchers with unprecedented opportunities to study these systems experimentally. More practically, their design could be used for applications including robotic motion control, secure password generation, and new developments in the Internet of Things—through which networks of everyday objects can gather and share data.

Kyiv will lose nearly two-thirds of its deposits if the Kremlin is successful in annexing Ukrainian territory.

At least $12.4 trillion worth of Ukraine’s essential natural resources, including energy and mineral deposits, are now under Russian control.

“The Kremlin is robbing Ukraine” of its natural resources, the backbone of it’s economy, according to an analysis by SecDev posted by Washington Post on August 10.

Two of America’s top chipmakers have been ordered to stop selling some of their technology to China that can be used for artificial intelligence.

Nvidia (NVDA) and AMD (AMD) said Wednesday that they had been told by the US government to halt exports of certain high-performance chips to the world’s second largest economy.

In a regulatory filing, Nvidia said that it had been told by US officials that the requirement was due to a potential risk of the products being used by, or diverted to, a “military end user.”