AI Technology
Artificial intelligence (AI) research currently focuses on developing and deploying trustworthy, efficient, and equitable AI systems across diverse sectors. Key areas include improving the explainability and reliability of AI models, particularly large language models (LLMs) and deep neural networks (DNNs), while addressing ethical concerns and biases. This work is driven by the need to enhance AI's practical applications in fields like healthcare, education, and cybersecurity, as well as to mitigate potential risks and ensure responsible innovation. The ultimate goal is to create AI systems that are both powerful and beneficial to society.
Papers
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