Lifeboat Foundation

The fabric of space and time is not exempt from the effects of gravity. Plop in a mass and space-time curves around it, not dissimilar to what happens when you put a bowling ball on a trampoline.

This dimple in space-time is the result of what we call a gravity well, and it was first described over 100 years ago by Albert Einstein’s field equations in his theory of general relativity. To this day, those equations have held up. We’d love to know what Einstein was putting in his soup. Whatever it was, general relativity has remained pretty solid.

Continue reading “Physicists Just Found a Quirk in Einstein’s Predictions of Space-Time” »

We won’t sell or share your personal information to inform the ads you see. You may still see interest-based ads if your information is sold or shared by other companies or was sold or shared previously.

Long before humans began creating nuclear reactors to fulfill our ridiculous energy needs, back when the Earth was dominated by microbes, in fact, nature beat us to it and built the first nuclear reactor on Earth.

In May 1972, a physicist at a nuclear processing plant in Pierrelatte, France, was conducting analysis on uranium samples when he noticed something pretty strange. In usual uranium ore deposits, three different isotopes are found; uranium 238, uranium 234, and uranium 235. Of these, uranium 238 is the most abundant, while uranium 234 is the rarest. Isotope 235 makes up around 0.72 percent of uranium deposits, and is the most coveted, as if you can enrich it past 3 percent it can be used to create a sustained nuclear reaction.

Continue reading “The Only Known Natural Nuclear Reactor On Earth Is 2 Billion Years Old” »

Eric Berger expects NASA and the public support for the SpaceX Mars city will surge with the first unmanned landings on Mars.

However, the IMO warned that lava may still continue to flow beneath this solidified crust toward the protective barriers near the Blue Lagoon, though its advance has significantly slowed.

Over the last week, the constant flow of the lava has gradually engulfed the tourist destination’s car park and continues to grow in size.

The Blue Lagoon was evacuated ahead of the lava’s arrival, as were 50 homes in the town of Grindavík, which is home to 3,800 residents.

Originally published on Towards AI.

ABSTRACT: The fundamental problem of causal inference defines the impossibility of associating a causal link to a correlation, in other words: correlation does not prove causality. This problem can be understood from two points of view: experimental and statistical. The experimental approach tells us that this problem arises from the impossibility of simultaneously observing an event both in the presence and absence of a hypothesis. The statistical approach, on the other hand, suggests that this problem stems from the error of treating tested hypotheses as independent of each other. Modern statistics tends to place greater emphasis on the statistical approach because, compared to the experimental point of view, it also shows us a way to solve the problem. Indeed, when testing many hypotheses, a composite hypothesis is constructed that tends to cover the entire solution space. Consequently, the composite hypothesis can be fitted to any data set by generating a random correlation. Furthermore, the probability that the correlation is random is equal to the probability of obtaining the same result by generating an equivalent number of random hypotheses.

Using generative artificial intelligence, a team of researchers at The University of Texas at Austin has converted sounds from audio recordings into street-view images. The visual accuracy of these generated images demonstrates that machines can replicate human connection between audio and visual perception of environments. The research team describes training a soundscape-to-image AI model using audio and visual data gathered from a variety of urban and rural streetscapes and then using that model to generate images from audio recordings.

Read Full Story.

Researchers at the University of Chicago have developed a new method for enhancing quantum information systems by integrating trapped atom arrays with photonic devices.

This innovation allows for scalable quantum computing and networking by overcoming previous technological incompatibilities. The design features a semi-open chip that minimizes interference and enhances atom connectivity, promising significant advances in computational speed and interconnectivity for larger quantum systems.

Merging technologies for enhanced quantum computing.

In a Stanford study, a two-hour interview was all it took for an AI to accurately predict people’s responses to a barrage of questions.