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An international team of geophysicists recently made a groundbreaking discovery at Jack Hills in Australia. Their study, published in the Proceedings of the National Academy of Sciences, challenges the existing timeline of when plate tectonics began on Earth. While most scientists believe it started around 3 billion years ago, this new research suggests it may
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The growing popularity of tattoos and permanent makeup has raised concerns about the safety of the products used in these procedures. A recent study conducted by the National Center for Toxicological Research (NCTR) and the Center for Food Safety and Applied Nutrition (CFSAN) revealed alarming levels of bacteria present in commercial tattoo inks and permanent
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Taiwan Semiconductor Manufacturing Company, commonly known as TSMC, was established in 1987 by Morris Chang, a visionary tech industry veteran. With a clear goal of establishing Taiwan as a major player in the semiconductor industry, Chang embarked on a mission to compete with leading countries like Japan. Over the years, TSMC has emerged as a
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Time reversal symmetry is a fundamental concept in physics that challenges the traditional notion of time flowing only from past to future. In the microscopic world, the laws of physics do not inherently favor any specific direction of time. Both classical and quantum mechanics exhibit reversible equations of motion, allowing for valid evolution processes even
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Recent research from the Chinese University of Hong Kong has delved deep into the connection between autism spectrum disorder and the composition of the gut microbiome. This study goes beyond just examining bacteria, as it also includes a comprehensive analysis of fungi, archaea, and viruses present in the digestive tract. The findings suggest a strong
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Robots are becoming increasingly common in both workplace and domestic settings, with advancements in technology allowing them to perform a wide range of tasks. However, there are still limitations when it comes to robots navigating confined or cluttered spaces. Traditional sensors like lasers and cameras have blind spots that may prevent robots from detecting objects
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Creating brain-like systems for machine learning poses numerous challenges. While artificial neural networks excel at learning complex tasks, the training process is slow and power-intensive. Moving towards analog systems can reduce time and power consumption, but small errors can quickly escalate. The current electrical network developed at the University of Pennsylvania can only handle linear
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