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For the first time, the NASA/ESA/CSA James Webb Space Telescope has detected and “weighed” a galaxy that not only existed about 600 million years after the Big Bang, but also has a mass that is similar to what our Milky Way galaxy’s mass might have been at the same stage of development.

Other galaxies Webb has detected at this period in the history of the universe are significantly more massive. Nicknamed the Firefly Sparkle, this galaxy is gleaming with star clusters—10 in all—each of which researchers examined in great detail. Their work is published in Nature.

“I didn’t think it would be possible to resolve a galaxy that existed so early in the universe into so many distinct components, let alone find that its mass is similar to our own galaxy’s when it was in the process of forming,” said Lamiya Mowla, co-lead author of the paper and an assistant professor at Wellesley College in Massachusetts. “There is so much going on inside this tiny galaxy, including so many different phases of star formation.”

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A new class of magnetism called altermagnetism has been imaged for the first time in a new study. The findings could lead to the development of new magnetic memory devices with the potential to increase operation speeds of up to a thousand times.

Altermagnetism is a distinct form of magnetic order where the tiny constituent magnetic building blocks align antiparallel to their neighbors but the structure hosting each one is rotated compared to its neighbors.

Scientists from the University of Nottingham’s School of Physics and Astronomy have shown that this new third class of magnetism exists and can be controlled in microscopic devices. The findings have been published in Nature.

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Quantum computing stocks are soaring, but do the rising stock prices make sense?

Over the last couple of years, technology stocks have captivated the investment world thanks in large part to breakthroughs in artificial intelligence (AI).

Within the AI realm, semiconductor stocks in particular have benefited greatly. This is due to the fact that semiconductor companies such as Nvidia, Advanced Micro Devices, and Broadcom make important infrastructure such as graphics processing units (GPUs) and network equipment that are used in data centers, and without them, generative AI would be more of a lofty idea than a reality.

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A recent study published in PLOS Computational Biology found that people with stronger autistic traits, particularly those with a preference for predictability, tend to exhibit unique curiosity-driven behaviors. These individuals showed persistence in tasks requiring sustained attention, often leading to superior learning outcomes.

Autism spectrum disorder is a developmental condition that affects how individuals perceive and interact with the world. It is characterized by differences in communication, social interaction, and behavior patterns. Rather than being a singular condition, autism exists on a spectrum, meaning that individuals experience varying levels of intensity and expression of traits. While some may require significant support in daily life, others might navigate independently with unique strengths and challenges.

Autistic traits are characteristics commonly associated with autism but may also be present in varying degrees within the general population. These traits can include a preference for routines, heightened sensitivity to sensory input, and intense focus on specific topics of interest. While these traits can sometimes pose challenges, they also contribute to unique ways of thinking and problem-solving.

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A recent award from the U.S. Defense Advanced Research Projects Agency (DARPA) brings together researchers from Massachusetts Institute of Technology (MIT), Carnegie Mellon University (CMU), and Lehigh University (Lehigh) under the Multiobjective Engineering and Testing of Alloy Structures (METALS) program. The team will research novel design tools for the simultaneous optimization of shape and compositional gradients in multi-material structures that complement new high-throughput materials testing techniques, with particular attention paid to the bladed disk (blisk) geometry commonly found in turbomachinery (including jet and rocket engines) as an exemplary challenge problem.

A DARPA-funded collaborative multi-university team pursues new AI-enhanced design tools and high-throughput testing methods for next-generation turbomachinery.

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China is pushing the boundaries of weapons technology with the development of a new rapid-fire machine gun.

#china #latestnews #worldnews.

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A key brain difference linked to autism has been found for the first time in living people.

Using a sophisticated imaging technology, Yale School of Medicine researchers found that the brains of autistic adults have fewer synapses — crucial junctions between nerve cells and other cells — than the brains of neurotypical individuals: bit.ly/3NK9gGQ Yale.

Autistic brains have fewer synapses compared to neurotypical brains, PET scans show.

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