What is the future direction of next-generation autonomous additive manufacturing systems?
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Researchers from California State University Northridge (CSUN), National University of Singapore (NUS), NASA Jet Propulsion Laboratory (JPL), and University of Wisconsin-Madison (UW-Madison) have introduced a new concept called autonomous additive manufacturing (AAM), where AI agents take over tasks traditionally managed by human operators. This breakthrough represents a major step toward creating autonomous manufacturing systems, offering improvements in knowledge representation and multi-modal capabilities in additive manufacturing (AM) processes.
The lead Ph.D. candidate, Mr. Haolin Fan, explained: "In the era of generative AI, this research points out a future where human expertise and AI collaborate seamlessly, leading to more resilient and adaptable manufacturing systems that could transform industrial production."
The computational capacity of life may be far greater than previously estimated, according to Philip Kurian. Because all physical systems process information, including the universe and all the organisms in it, they can be considered to perform computations. Previous estimates of the computational capacity of life on Earth have focused on the central processing unit of a neuron, which would exclude life without neurons. Kurian now recalculates this capacity, raising it by a factor of 1020, based in part on his research team’s work to show that polymers contain small-molecule quantum emitters that should be treated as quantum processors. The emitters are found across all eukaryotic life and some bacterial species. Kurian suggests that the number of elementary logical operations that may have been performed by the universe is “approximately the square of the number of operations that can have been performed by all kingdoms of life on Earth in the entire existence of our planet.” The findings could help to gauge the future performance of quantum computing, but Kurian says they also raise the question: “If life and the universe are performing sophisticated computations, what exactly are the functions and purposes of their computing?”
New observations of a giant storm on Jupiter collected by the Juno space probe, combined with simulations of storm outbreaks on the planet, show how these storms move water vapor and ammonia from the upper atmosphere into the deep atmosphere, even below the level of the storm itself. The findings offer a more detailed look at how storms impact heat transfer within the atmosphere of a gas giant and help explain why the atmospheres of planets such as Jupiter and Saturn are depleted of ammonia, according to Chris Moeckel and colleagues. They used observations from Juno’s Microwave Radiometer of a large storm in 2017 that was first identified by an amateur astronomer. Their analysis tracked the aftermath of the storm, revealing a coupling of temperature and ammonia cycles, such that storms raise the atmospheric temperatures as they deplete ammonia abundance. “These are the first observations to quantify the effect of these storms on the ammonia abundance and temperature structure below the visible cloud deck and show how deep the atmosphere is disrupted in the aftermath of the storm,” Moeckel et al. write. The storms deposit condensates far below the atmospheric depths where the storms were generated, the researchers conclude.
Philip Kurian, a theoretical physicist and founding director of the Quantum Biology Laboratory (QBL) at Howard University in Washington, D.C., has used the laws of quantum mechanics, the fundamental physics of computation, and the QBL’s discovery of cytoskeletal filaments exhibiting quantum optical features, to set a drastically revised upper bound on the computational capacity of carbon-based life in the entire history of Earth. Published as a single-author research article in Science Advances, Kurian’s latest work conjectures a relationship between this information-processing limit and that of all matter in the observable universe.