Technology

Artificial intelligence continues to revolutionize the field of robotics, with researchers from Shanghai University unveiling a groundbreaking new framework known as “Correction and Planning with Memory Integration” (CPMI). This innovative approach leverages large language models (LLMs) to enhance the way robots interpret and carry out complex tasks. Unlike traditional methods that rely on explicit programming
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The development of a 4-Amino-TEMPO derivative with photocatalytic properties has revolutionized the production of high-performance and stable fiber-shaped dye-sensitized solar cells (FDSSCs) and fiber-shaped organic light-emitting diodes (FOLEDs). This breakthrough, recently published in the journal Materials Today Energy, marks a significant advancement in the field of electronic devices. Unlike conventional materials that are challenging to
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Robotic manipulation is a critical aspect of enabling robots to complete real-world tasks in various environments. To achieve effective object grasping and manipulation, developers have been exploring machine learning models for training robots. While some models have shown success, many of them require extensive pre-training on large datasets, primarily consisting of visual data. However, researchers
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When it comes to the adoption of artificial intelligence (AI) in South-East Asia, there are systemic issues that can jeopardize women’s security. Gender biases present in widely used AI-systems create a significant barrier to leveraging AI for promoting peace and security in the region. Research conducted by UN Women and the United Nations University Institute
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In recent news, there has been a notable increase in government agencies taking proactive steps to enhance their cybersecurity measures. One such agency, the Environmental Protection Agency, has recently announced its intention to ramp up inspections of water facilities that may be susceptible to cyberattacks. This move highlights the growing recognition of the vulnerabilities faced
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In recent years, deep learning techniques have made significant strides in achieving human-level accuracy across various tasks such as image classification and natural language processing. The adoption of these computational methods has sparked a surge in research efforts to develop hardware accelerators capable of meeting the substantial computational requirements of deep neural networks. To address
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Large language models (LLMs) have gained popularity in recent years for their ability to process, generate, and manipulate text in various languages. However, along with their impressive capabilities, LLMs are also known for their tendency to generate hallucinations – responses that are entirely inaccurate, nonsensical, or inappropriate. This raises concerns about the reliability of these
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As the global landscape of artificial intelligence (AI) continues to evolve rapidly, the issue of AI safety has become a growing concern among governments, tech firms, and civil society organizations around the world. The recent international summit on AI in Seoul, South Korea, highlighted the need for collaborative efforts to address the potential risks associated
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