The COOLBat project is a joint research venture aimed at developing next-generation battery enclosures for electric vehicles. The primary goal is to make these enclosures lighter, thereby increasing the range of electric cars, while also reducing the carbon dioxide emissions associated with their production. By combining individual systems, introducing new heat-conductive materials, and utilizing bio-based
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Bipartite matching is a key problem in computer science, with applications ranging from organ donation to ridesharing apps. Cold Spring Harbor Laboratory Associate Professor Saket Navlakha has found a way to improve bipartite matching algorithms by drawing inspiration from biology. Navlakha identified a bipartite matching problem in the wiring of the nervous system, where muscle
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Artificial intelligence plays a crucial role in the development and operation of self-driving vehicles. It is responsible for decision-making, sensing, predictive modeling, and various other tasks that enable autonomous driving. However, recent research at the University at Buffalo has raised concerns about the vulnerability of AI systems in self-driving vehicles to malicious attacks. These attacks
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The Milky Way, our home galaxy, is a vast and dynamic entity, constantly evolving and changing over billions of years. Recent research using data from the Gaia satellite has shed light on a potential cosmic skirmish between the Milky Way and a group of orbiting stars. This discovery has raised questions about the true nature
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In Nairobi, Kenya’s bustling capital, children are captivated by the sight of robots gliding among human waiters, delivering freshly prepared meals to diners in a futuristic cafe. This unique establishment, named the Robot Cafe, has become a popular attraction in East Africa’s tech hub, known as The Silicone Savannah. The cafe owner, Mohammed Abbas, made
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Predicting major earthquakes has always been a challenge for scientists around the world. However, recent research conducted by a team led by Társilo Girona from the University of Alaska Fairbanks has shown promising results in earthquake forecasting. By utilizing advanced statistical techniques, particularly machine learning, Girona and his team have been able to identify precursors
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Antique books, once adorned with vivid and colorful dyes, may pose a hidden danger to those who handle them. Recent analysis has uncovered the presence of toxic materials such as lead and chromium in Victorian-era books. While casual contact with these heavy metals may not cause immediate harm, frequent handling of antique books could result
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The research conducted by a team of Alberta Machine Intelligence Institute (Amii) researchers sheds light on a critical challenge in the realm of machine learning – the loss of plasticity in deep continual learning. This issue poses a significant barrier to the development of advanced AI systems capable of adapting effectively in real-world scenarios. The
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Drylands cover nearly half of the world’s land surface, encompassing deserts, shrublands, grasslands, and savanna woodlands. These regions face water scarcity, affecting both natural ecosystems and human-managed landscapes such as agriculture, forestry, and livestock production. Climate change and land management practices have long been recognized as contributors to dryland expansion, but new research reveals a
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Generative AI tools are being hailed as the future for many companies looking to save time and money with automation. However, there is a major challenge that needs to be addressed – the issue of incomplete information. According to Microsoft Vice President Vik Singh, one of the key drawbacks of current generative AI models is
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