Lifeboat Foundation

This video explores what would happen if fusion power became a mainstream technology in 2070. Watch this next video about the world in 2070: https://bit.ly/3nYXvjf.
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SOURCES:
• https://www.vox.com/22801265/fusion-energy-electricity-power…earch-iter.
• https://www.iter.org/sci/Fusion.

Continue reading “Fusion Power: 10 Ways It Will Change The World” »

Emily Riehl is rewriting the foundations of higher category theory while also working to make mathematics more inclusive.

Dr. Ben Goertzel.
SingularityNET

The Coming Consciousness Explosion.

Continue reading “The Coming Consciousness Explosion | Dr. Ben Goertzel | SCS2022” »

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Science Asylum video on Schrodinger Equation:

Continue reading “Everything — Yes, Everything — is a SPRING! (Pretty much)” »

Renowned physicist Neil Turok, Holder of the Higgs Chair of Theoretical Physics at the University of Edinburgh, joins me to discuss the state of science and the universe. is Physics in trouble? What hope is there to return to more productive and Simple theories? What is Peter Higgs up to?

Neil Turok has been director emeritus of the Perimeter Institute for Theoretical Physics since 2019. He specializes in mathematical physics and early-universe physics, including the cosmological constant and a cyclic model for the universe.

Continue reading “Neil Turok: Physics is in Crisis” »

Warm dense matter (WDM) measures thousands of degrees in temperature and is under the pressure of thousands of Earth’s atmospheres. Found in many places throughout the universe, it is expected to have beneficial applications on Earth. However, its investigation is a challenge.

Even the temperature of a material under WDM conditions is anything but easy to determine. A team of researchers led by Dr. Tobias Dornheim from the Center for Advanced Systems Understanding (CASUS) at HZDR has demonstrated a mathematical solution that allows an accurate assessment of the temperature.

As the team points out in the journal Nature Communications, their method can readily be used at experimental facilities of matter research around the world and expedite the gain of scientific knowledge.

Do you want to know whether a very large integer is a prime number or not? Or if it is a “lucky number”? A new study by SISSA, carried out in collaboration with the University of Trieste and the University of Saint Andrews, suggests an innovative method that could help answer such questions through physics, using some sort of “quantum abacus.”

By combining theoretical and experimental work, scientists were able to reproduce a quantum potential with energy levels corresponding to the first 15 prime numbers and the first 10 lucky numbers using holographic laser techniques. This result, published in PNAS Nexus, opens the door to obtaining potentials with finite sequences of integers as arbitrary quantum energies, and to addressing mathematical questions related to number theory with quantum mechanical experiments.

“Every physical system is characterized by a certain set of energy levels, which basically make up its ID,” explains Giuseppe Mussardo, theoretical physicist at SISSA—International School for Advanced Studies. “In this work, we have reversed this line of reasoning: is it possible—starting from an arithmetic sequence, for example that of prime numbers—to obtain a quantum system with those very numbers as energy levels?”

“All things are numbers,” avowed Pythagoras. Today, 25 centuries later, algebra and mathematics are everywhere in our lives, whether we see them or not. The Cambrian-like explosion of artificial intelligence (AI) brought numbers even closer to us all, since technological evolution allows for parallel processing of a vast amounts of operations.

Progressively, operations between scalars (numbers) were parallelized into operations between vectors, and subsequently, matrices. Multiplication between matrices now trends as the most time-and energy-demanding operation of contemporary AI computational systems. A technique called “tiled matrix multiplication” (TMM) helps to speed computation by decomposing matrix operations into smaller tiles to be computed by the same system in consecutive time slots. But modern electronic AI engines, employing transistors, are approaching their intrinsic limits and can hardly compute at clock-frequencies higher than ~2 GHz.

The compelling credentials of light—ultrahigh speeds and significant energy and footprint savings—offer a solution. Recently a team of photonic researchers of the WinPhos Research group, led by Prof. Nikos Pleros from the Aristotle University of Thessaloniki, harnessed the power of light to develop a compact silicon photonic computer engine capable of computing TMMs at a record-high 50 GHz clock frequency.

Database of 200,000 cell images yields new mathematical framework to understand our cellular building blocks.