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In a groundbreaking development, a group of chemists at the University of Copenhagen have successfully crafted an AI application designed to determine the phase of x-rays that have diffracted through crystals. This innovative technology marks a significant leap forward in the realm of predicting the structures of small molecules. Anders Larsen, Toms Rekis, and Anders
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In the fast-paced world of AI development, the regional availability of large language models (LLMs) can make a significant difference in the competitive advantage of enterprises. Companies that have early access to LLMs can innovate faster and stay ahead of the curve. However, many organizations face challenges when it comes to accessing models due to
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Researchers at the Jackson Laboratory (JAX), led by Associate Professor Vivek Kumar, Ph.D., have developed a revolutionary method to accurately measure mouse body mass using computer vision technology. This non-intrusive approach aims to reduce stress on the mice during weighing, ultimately improving the quality and reproducibility of biomedical research involving these animals. Traditionally, measuring the
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The field of quantum sensing has taken a significant leap forward with the development of a new 2D quantum sensing chip using hexagonal boron nitride (hBN). This groundbreaking technology, developed by researchers at TMOS and RMIT University, promises to revolutionize the way we detect temperature anomalies and magnetic fields in any direction. The paper, published
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In today’s rapidly evolving technological landscape, there is perhaps no more exciting yet daunting time to build a company centered around artificial intelligence. The challenges one faces are numerous and significant. One glaring obstacle is the exorbitant cost of server bills, which can quickly become astronomical as you scale your AI operations. Additionally, the market
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