Technology

Metal halide perovskites have gained significant attention due to their exceptional optoelectronic properties. These materials, especially tin halide perovskites, have shown great potential in developing high-performance p-type transistors. However, the development of n-type transistors based on tin perovskites has been challenging, limiting the creation of complementary logic circuits. To address this issue, researchers have been
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Chile’s state-owned copper giant, Codelco, has recently entered into a groundbreaking deal with SQM to significantly increase the extraction of lithium, a crucial mineral in the transition to cleaner energy sources. This partnership aims to almost double the current lithium extraction capabilities of SQM, a leading player in the lithium market known as “white gold.”
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Advancements in artificial intelligence continue to transform the field of robotics, with researchers from Shanghai University unveiling a groundbreaking new framework known as “Correction and Planning with Memory Integration” (CPMI). Led by Yuan Zhang and Chao Wang, the team has developed a framework that leverages large language models (LLMs) to enhance the efficiency and effectiveness
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The European Union is leading the charge in revolutionizing the electric grid to enhance energy efficiency, reduce wastage, cut costs, and mitigate emissions. Dr. Anders Wulff, an engineer and CEO of Danish superconductor manufacturer SUBRA, is at the forefront of developing an innovative superconductor cable made of ceramics. This groundbreaking project, supported by EU funding,
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In a recent study published in Materials Today Energy, a team of researchers successfully developed a 4-Amino-TEMPO derivative with photocatalytic properties. This derivative has been used to enhance the performance of fiber-shaped dye-sensitized solar cells (FDSSCs) and fiber-shaped organic light-emitting diodes (FOLEDs). The research team, led by Professor Chul-jin Ahn’s team at Changwon National University,
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Robots are becoming increasingly prevalent in various environments, from home settings to industrial workplaces. In order to effectively carry out tasks in these diverse spaces, robots must possess the ability to grasp and manipulate a wide range of objects. To achieve this, developers have been exploring machine learning-based models to enhance robot manipulation skills. While
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Artificial Intelligence (AI) has the potential to significantly impact the peace and security landscape in South-East Asia. However, various systemic issues and gender biases present in widely used AI systems pose a substantial obstacle to the positive use of AI in this context. Research conducted by UN Women and the United Nations University Institute in
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Government agencies are increasingly recognizing the critical importance of strengthening their cybersecurity measures. Just recently, the Environmental Protection Agency (EPA) announced its plans to conduct more rigorous inspections of water facilities to prevent potential cyberattacks. This proactive approach highlights the growing concern over the vulnerability of government organizations to cyber threats. Lee McKnight, an associate
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The field of deep learning has seen significant advancements in recent years, with techniques reaching human-level accuracy in image classification and natural language processing tasks. As a result, researchers have been exploring new hardware solutions to meet the computational demands of deep neural networks. One such solution is the development of hardware accelerators, specialized computing
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In recent years, Large Language Models (LLMs) have gained popularity for their ability to process, generate, and manipulate texts in multiple languages. With their widespread use in various applications, these models are capable of providing quick answers to queries, creating content for specific purposes, and interpreting complex texts. However, despite the impressive capabilities of LLMs,
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