Technology

The COOLBat joint research project is paving the way for the future of electric vehicles by developing next-generation battery enclosures with more charging power, higher range, and lower environmental impact. This collaborative effort between the Fraunhofer Institute for Machine Tools and Forming Technology IWU and several partners is focused on revolutionizing the way battery enclosures
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The advancement of renewable energy sources such as wind power has led to a growing need for accurate and reliable testing of wind turbine systems. With the rise of offshore wind farms and larger turbines, ensuring the grid stability and compliance of these systems has become a significant challenge for manufacturers. In response to this
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In the realm of computer science, the concept of bipartite matching has long been a challenging and intriguing problem. This process, which involves pairing two distinct sets of elements in a way that maximizes overall satisfaction, has applications in various fields ranging from ridesharing to medical residency programs. Cold Spring Harbor Laboratory Associate Professor Saket
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As technology advances, self-driving vehicles powered by artificial intelligence are becoming more prevalent in today’s society. However, the reliance on AI systems raises concerns about potential vulnerabilities to attacks. Ongoing research at the University at Buffalo delves into the security risks associated with autonomous vehicles, shedding light on the potential for malicious actors to exploit
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In Nairobi, Kenya, a new trend in dining has emerged with the introduction of robots serving food in a bustling cafe. This innovative concept has captivated the attention of both young and old patrons, who are fascinated by the sight of robots gliding among human waiters to deliver freshly prepared meals. The Robot Cafe, located
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The issue of loss of plasticity in deep learning models has been a long-standing problem that has not received the necessary attention it deserves. According to a team of researchers from Amii, this phenomenon results in deep learning agents losing the ability to learn continuously and experiencing a significant degradation in performance over time. This
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The realm of optical illusions, quantum mechanics, and neural networks may initially seem disconnected, but a recent study published in APL Machine Learning delves into the fascinating overlap among these seemingly unrelated fields. The research uncovers the utilization of “quantum tunneling” to create a neural network capable of perceiving optical illusions in a manner akin
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Artificial intelligence (AI) has made significant advancements in recent years, with language models such as ChatGPT becoming more prevalent in our daily lives. However, a recent study conducted by a team of AI researchers from various prestigious institutions in the U.S. has revealed a troubling issue – covert racism present in popular Language Models (LLMs).
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