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Alfred North Whitehead’s Process Philosophy, the Mystery of Consciousness and the Mind-Body Problem (2016)
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Compilation by Michael Schramm.
Background Music by Michael Schramm.
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Speakers & Quotations:
Charles Birch, Susan Blackmore, David J. Chalmers, Daniel C. Dennett, Freeman Dyson, David Ray Griffin, Charles Hartshorne, Nicholas Humphrey, Christof Koch, Colin McGinn, Thomas Nagel, Karl R. Popper, John R. Searle, Rupert Sheldrake, Galen Strawson, Alfred North Whitehead.
Tags:
panpsychism, consciousness, mind-body problem, process philosophy, process metaphysics, materialism, (property) dualism, quantum physics, indeterminism, free will.
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I have uploaded the resource document again and added a new link. Thanks for the interest!
Resources (new link):
https://theology-ethics.uni-hohenheim.de/fileadmin/einrichtu…ources.pdf.
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A planet with conditions on the surface resembling Earth has been discovered a relatively short distance from us.
In fact, it’s just 31 light-years away, which is the space equivalent of ‘down the road’.
Scientists are always excited when it comes to the discovery of new exoplanets, and this is no different.
A rather macabre interactive map demonstrates how the area you live in would be impacted if a nuclear bomb were to hit it. Nuclear war is as big a talking point these days as it ever has been. Advert With Russia and Ukraine still at war, Russian President Vladimir Putin has made some not-so-veiled threats about nuclear weapon use.
Some of our most important everyday items, such as computers, medical equipment, stereos, generators, and more, work because of magnets. We know what happens when computers become more powerful, but what might be possible if magnets became more versatile? What if one could change a physical property that defined their usability? What innovation might that catalyze?
It’s a question that MIT Plasma Science and Fusion Center (PSFC) research scientists Hang Chi, Yunbo Ou, Jagadeesh Moodera, and their co-authors explore in a new, open-access Nature Communications paper, “Strain-tunable Berry curvature in quasi-two-dimensional chromium telluride.”
Understanding the magnitude of the authors’ discovery requires a brief trip back in time: In 1,879, a 23-year-old graduate student named Edwin Hall discovered that when he put a magnet at right angles to a strip of metal that had a current running through it, one side of the strip would have a greater charge than the other. The magnetic field was deflecting the current’s electrons toward the edge of the metal, a phenomenon that would be named the Hall effect in his honor.
Engineers successfully tested hybrid printed circuits at the edge of space in an April 25 sounding rocket flight from NASA’s Wallops Flight Facility near Chincoteague, Virginia. Electronic temperature and humidity sensors printed onto the payload bay door and onto two attached panels monitored the entire SubTEC-9 sounding rocket mission, recording data that was beamed to the ground. The experiment by aerospace engineer Beth Paquette and electronics engineer Margaret Samuels of NASA’s Goddard Space Flight Center in Greenbelt, Maryland, sought to prove the space-readiness of printed electronics technology.
Printing electronic circuits on the walls and structures of spacecraft could help future missions do more in smaller packages.
Materials that are both strong and lightweight could improve everything from cars to body armor. But usually, the two qualities are mutually exclusive. Now, University of Connecticut researchers and colleagues have developed an extraordinarily strong, lightweight material using two unlikely building blocks: DNA and glass.
“For the given density, our material is the strongest known,” says Seok-Woo Lee, a materials scientist at UConn. Lee and colleagues from UConn, Columbia University, and Brookhaven National Lab report the details on July 19 in Cell Reports Physical Science.
Strength is relative. Iron, for example, can take 7 tons of pressure per square centimeter. But it’s also very dense and heavy, weighing 7.8 grams/cubic centimeter. Other metals, such as titanium, are stronger and lighter than iron. And certain alloys combining multiple elements are even stronger. Strong, lightweight materials have allowed for lightweight body armor, better medical devices and made safer, faster cars and airplanes. The easiest way to extend the range of an electric vehicle, for example, is not to enlarge the battery but rather make the vehicle itself lighter without sacrificing safety and lifetime. But traditional metallurgical techniques have reached a limit in recent years, and materials scientists have had to get even more creative to develop new lightweight high strength materials.
It turns out there’s a lot of scrap wood produced by the US Army. According to the US Army Corps of Engineers, more than 80 percent of solid waste produced at the Department of Defense (DoD) forward operating bases consists of scrap wood, cardboard, and paper. This equates to almost 13 pounds of waste per soldier per day that could be reused if handled properly, reducing garbage and supplying useful materials for construction.
DARPA’s new Waste Upcycling for Defense (WUD) program aims to produce a process for turning scrap wood, cardboard, and paper into lightweight, strong, and sustainable materials for reuse in a variety of DoD environments.
Scaling has long been recognized as a major hurdle for quantum processors, along with a need for advances in quantum error correction and the control of quantum gates.
However, while rapid progress has been made in the latter two, far less progress has been made in the development of a CMOS-based scalable system, where the devices and qubits are sufficiently identical that the number of external control signals increases slowly with the number of qubits.
Therefore the development, and taping-out, of a CMOS-based scaling architecture has taken on new significance, as scaling has become the most critical remaining task for building a commercially viable quantum computer.
We compare the performance of the Quantum Approximate Optimization Algorithm (QAOA) with state-of-the-art classical solvers Gurobi and MQLib to solve the MaxCut problem on 3-regular graphs. We identify the minimum noiseless sampling frequency and depth p required for a quantum device to outperform classical algorithms. There is potential for quantum advantage on hundreds of qubits and moderate depth with a sampling frequency of 10 kHz. We observe, however, that classical heuristic solvers are capable of producing high-quality approximate solutions in linear time complexity. In order to match this quality for large graph sizes N, a quantum device must support depth p > 11. Additionally, multi-shot QAOA is not efficient on large graphs, indicating that QAOA p ≤ 11 does not scale with N. These results limit achieving quantum advantage for QAOA MaxCut on 3-regular graphs.
