Lifeboat Foundation

The advance will allow researchers to transform everyday materials into conductors for use in quantum computers. Researchers at the University of California, Irvine and Los Alamos National Laboratory, publishing in the latest issue of Nature Communications, describe the discovery of a new method that transforms everyday materials like glass into materials scientists can use to make quantum computers.

“The materials we made are substances that exhibit unique electrical or quantum properties because of their specific atomic shapes or structures,” said Luis A. Jauregui, professor of physics & astronomy at UCI and lead author of the new paper.

“Imagine if we could transform glass, typically considered an insulating material, and convert it into efficient conductors akin to copper. That’s what we’ve done.”

This timelapse of future technology begins with 2 Starships, launched to resupply the International Space Station. But how far into the future do you want to go?

Tesla Bots will be sent to work on the Moon, and A.I. chat bots will guide people into dreams that they can control (lucid dreams). And what happens when humanity forms a deeper understanding of dark energy, worm holes, and black holes. What type of new technologies could this advanced knowledge develop? Could SpaceX launch 100 Artificial Intelligence Starships, spread across our Solar System and beyond into Interstellar space, working together to form a cosmic internet, creating the Encyclopedia of the Galaxy. Could Einstein’s equations lead to technologies in teleportation, and laboratory grown black holes.

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Mentalization – inferring other’s emotions and intentions – is crucial for human social interactions and is impaired in various brain disorders. While previous neuroscience research has focussed on static mentalization strategies, we know little about how the brain decides adaptively which strategies to employ at any moment of time. Here we investigate this core aspect of mentalization with computational modeling and fMRI during interactive strategic games. We find that most participants can adapt their strategy to the changing sophistication of their opponents, but with considerable individual differences. Model-based fMRI analyses identify a distributed brain network where activity tracks this mentalization-belief adaptation.

Consciousness appears to arise naturally as a result of a brain maximizing its information content. So says a group of scientists in Canada and France, which has studied how the electrical activity in people’s brains varies according to individuals’ conscious states. The researchers find that normal waking states are associated with maximum values of what they call a brain’s “entropy”

Statistical mechanics is very good at explaining the macroscopic thermodynamic properties of physical systems in terms of the behaviour of those systems’ microscopic constituent particles. Emboldened by this success, physicists have increasingly been trying to do a similar thing with the brain: namely, using statistical mechanics to model networks of neurons. Key to this has been the study of synchronization – how the electrical activity of one set of neurons can oscillate in phase with that of another set. Synchronization in turn implies that those sets of neurons are physically tied to one another, just as oscillating physical systems, such as pendulums, become synchronized when they are connected together.

The latest work stems from the observation that consciousness, or at least the proper functioning of brains, is associated not with high or even low degrees of synchronicity between neurons but by middling amounts. Jose Luis Perez Velazquez, a biochemist at the University of Toronto, and colleagues hypothesized that what is maximized during consciousness is not connectivity itself but the number of different ways that a certain degree of connectivity can be achieved.

This is ASML’s new $380 million machine.

ASML Holding NV is showing off its latest chipmaking machine, a €350 million ($380 million) piece of equipment that weighs as much as two Airbus A320s.

After cracking an unsolvable mathematics problem last year, AI is back to tackle geometry.

Developed by Google DeepMind, a new algorithm, AlphaGeometry, can crush problems from past International Mathematical Olympiads—a top-level competition for high schoolers—and matches the performance of previous gold medalists.

When challenged with 30 difficult geometry problems, the AI successfully solved 25 within the standard allotted time, beating previous state-of-the-art algorithms by 15 answers.

Scientists have long thought of the fluid-filled sac around our lungs merely as a cushion from external damage. Turns out, it also houses potent virus-eating cells that rush into the lungs during flu infections.

Not to be confused with phages, which are viruses that infect bacteria, these cells are macrophages, immune cells produced in the body.

“The name macrophage means ‘big eater.’ They gobble up bacteria, viruses, cancer cells, and dying cells. Really, anything that looks foreign, they take it up and destroy it,” said UC Riverside virologist Juliet Morrison, who led the discovery team. “We were surprised to find them in the lungs because nobody has seen this before, that these cells go into the lung when there’s an infection.”

A research paper published in Nature Cancer details new insights into the role of efferocytosis—the burying of dead cells—in pancreatic cancer that spreads to the liver.

Liver metastasis occurs in 40–50% of people with pancreatic ductal adenosarcoma (PDAC), and there are currently no effective therapies to cure pancreatic cancer patients that have liver metastasis.

Led by University of Liverpool’s Professor Michael Schmid and colleagues, this study found PDAC metastases to show high levels of immunosuppressive macrophages, a type of white blood cell that promotes tumor growth.

Microsoft and OpenAI are reportedly in talks to invest $100 million into robotics startup Figure — suggesting that they might hope to combine their tech with its humanoid robot.

The background: A lot of humanoid robots can look impressive in demos but turn out to be highly limited in reality.

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