Lifeboat Foundation

Their system combines lightweight, barely there tech with ANC that can scrub out even the bassiest frequencies.

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Is emergence a mystery? Does ordinary stuff have mysterious properties? Take anything; find and separate all its parts and catalogue their properties. Then recombine those parts. What would you get? Nothing at all like what you expect from the sum of all those properties. It’s called ’emergence’ and it describes how wondrously our world works on every level.

Continue reading “Robert Laughlin — Can Emergence Explain Reality?” »

We promise, there was no scientific bias in the findings.

How Beijing threatens U.S. dominance.

Summary: Psychologists revealed people’s judgments of truthfulness are influenced by what they perceive as the information source’s intentions.

They found that even when individuals knew the factual accuracy of a claim, their judgment of its truth was affected by whether they thought the source was trying to deceive or inform them. This tendency held true for both politicized and non-politicized topics.

This research uncovers a new facet of truth perception, showing that objective accuracy is not the only criterion considered.

The project is expected to be completed by 2026 and could help meet multiple energy demands.

China has completed a significant step toward establishing the world’s first commercial onshore small modular reactor. It has finished the installation of the core module of the reactor that it began building in 2021, the South China Morning Post.

With a power generation capacity of not more than 300 MW, small modular reactors (SMR) are believed to be the future of nuclear fission reactors. The advanced nuclear reactor design allows the power plant to be scaled down and established in remote locations that cannot be connected to the grid.

A new study explores how artificial intelligence can not only better predict new scientific discoveries but can also usefully expand them. The researchers, who published their work in Nature Human Behaviour, built models that could predict human inferences and the scientists who will make them.

The authors also built models that avoided human inference to generate scientifically promising “alien” hypotheses that would not likely be considered until the distant future, if at all. They argue that the two demonstrations—the first allowing for the acceleration of human discovery, while the second identifies and passes over its blind spots—means that a human-aware AI would allow for movement beyond the contemporary scientific frontier.

“If you build in awareness to what people are doing, you can improve prediction and leapfrog them to accelerate science,” says co-author James A. Evans, the Max Palevsky Professor in the Department of Sociology and director of the Knowledge Lab. “But you can also figure out what people can’t currently do, or won’t be able to do for decades or more into the future. You can augment them by providing them that kind of complementary intelligence.”

The discovery of the enormous plant type surprised researchers.

The study says that the respiratory airway secretory (RAS) cells are found in tiny branching passages known as bronchioles.