Lifeboat Foundation

A book argues that we’ve not thought enough about things that might think.

Competitive interactions modify the direct effects of climate.

As the climate is changing, species respond by changing their distributions and abundances. The effects of climate are not only direct, but also occur via changes in biotic interactions, such as competition. Yet, the role of competition in mediating the effects of climate is still largely unclear. To examine how climate influences species performance, directly and via competition with other species, we transplanted two moss species differing in climate niches, alone and together at 59 sites along a climate gradient. Growth was monitored over three growing seasons. In the absence of competition, both species performed better under warmer conditions. Yet, when transplanted together, a warmer climate had negative effects on the northern moss, while the effects remained positive for the southern species. The negative effect of a cold climate on the southern species was larger when both species were transplanted together. Over three growing seasons, the southern species almost outcompeted the northern in warmer climates. Our results illustrate how competitive interactions can modify, and even reverse, the direct effects of climate on organism performance. A broader implication of our results is that species interactions can have important effects on how environmental and climate change influence performance and abundance.

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Now who’s coming to my glowing-house party?

In 2018, Google DeepMind’s AlphaZero program taught itself the games of chess, shogi, and Go using machine learning and a special algorithm to determine the best moves to win a game within a defined grid. Now, a team of Caltech researchers has developed an analogous algorithm for autonomous robots—a planning and decision-making control system that helps freely moving robots determine the best movements to make as they navigate the real world.

“Our algorithm actually strategizes and then explores all the possible and important motions and chooses the best one through dynamic simulation, like playing many simulated games involving moving robots,” says Soon-Jo Chung, Caltech’s Bren Professor of Control and Dynamical Systems and a senior research scientist at JPL, which Caltech manages for NASA. “The breakthrough innovation here is that we have derived a very efficient way of finding that optimal safe motion that typical optimization-based methods would never find.”

Continue reading “A single algorithm can help robots make good decisions in real time” »

The Higgs boson, often dubbed the “God particle,” has been a focal point of physics since its groundbreaking discovery in 2012. This elusive particle plays a crucial role in our understanding of how elementary particles acquire mass, a concept that has puzzled scientists for decades. But the excitement doesn’t stop there. Seven years after its discovery, new findings from researchers at the Max Planck Institute are taking our knowledge of the Higgs boson to an entirely new level. These advancements promise to unravel deeper mysteries of the universe and open doors to future scientific exploration.

To fully appreciate the recent developments in Higgs boson research, it’s important to revisit the concept of this fundamental particle. In the Standard Model of particle physics, the Higgs boson is the particle responsible for giving mass to other particles. But how exactly does this happen? The answer lies in the Higgs field—a sort of invisible “medium” that permeates the universe, even in a vacuum.

Imagine you’re trying to walk through a swimming pool. When the water is still, you move easily, but if the pool were filled with foam, your movements would slow down considerably. The Higgs field operates similarly, with particles gaining mass as they interact with it, much like how a swimmer would find it harder to move through foam. The more a particle interacts with this field, the more mass it acquires, which allows particles to form the building blocks of matter as we know it.

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Mathematician Stephen Wolfram has attempted to develop a theory of everything using hypergraphs, which are essentially sets of graphs that can describe space-time. Recently, another mathematician named Jonathan Gorard has used hypergraphs to describe what happens if a black hole accretes matter. He claims that evidence for hypergraphs should be observable in the energy that is emitted during the accretion. Big if true, as they say. Let’s take a look.

Continue reading “This Theory of Everything Actually Makes a Prediction: New Physics in Black Holes” »

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Perched in the constellation Orion, 1,300 light-years from Earth, lies GW Orionis, a unique triple-star solar system. Unlike most known systems, GW Orionis features two stars orbiting each other closely, while a third star circles at a much greater distance. Surrounding these stars are three enormous, misaligned rings of planet-forming dust, creating a striking bullseye pattern in the sky.

Recent studies, published in Science and The Astrophysical Journal Letters, suggest that these rings may harbor a young planet—or the makings of one. This celestial body could explain the dramatic misalignment of the system’s inner ring, which appears to wobble like a broken gyroscope. If confirmed, this would be the first known planet orbiting three stars simultaneously.

Nienke van der Marel, astrophysicist and co-author of the May 21 study, noted that the combined gravitational pull of the three stars alone cannot account for the rings’ behavior. Instead, the presence of a planet carving a gap in the disk could be disrupting the system’s balance.