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Chinese Academy of Sciences uses artificial intelligence to discover the smallest planet so far closest to its host star
Oct. 14 (Bloomberg) -- An international team led by Professor Jian Ge at the Shanghai Astronomical Observatory of the Chinese Academy of Sciences (CAS) has developed a deep-learning algorithm that combines GPU phase-folding and a convolutional neural network, and discovered five ultra-short-period planets with diameters smaller than the Earth and orbital periods shorter than a day in the stellar photometric data released by Kepler in 2017. Four of them are the smallest planets ever found closest to their host stars, similar to the size of Mars. This is the first time that astronomers have used artificial intelligence to search for suspected signals and identify real ones in one go. The related research results were published... -
Chinese Academy of Sciences Issues Eight Integrity Reminders to Standardize the Use of AI Technology in Research Activities
On September 10, the Research Ethics Committee of the Chinese Academy of Sciences (CAS) publicly released the "Integrity Reminder on Regulating the Use of Artificial Intelligence Technology in Scientific Research Activities" (hereinafter referred to as the "Integrity Reminder") for scientific and technological personnel and students of CAS. Officials of the Chinese Academy of Sciences said that in recent years, the rapid development and wide application of AI technology has brought new changes and innovations to scientific research, while also posing serious challenges to the existing practices that underpin scientific research integrity. For example, the use of AI algorithms to falsify data and generate deceptive research papers is highly likely to lead to new forms of paper ghostwriting, plagiarism and plagiarism, and manuscript washing and other academic...- 1.9k
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Chinese Academy of Sciences and Alibaba Cloud released the first professional large-scale lunar model, with an accuracy rate of over 80% in determining the age of impact craters
According to Alibaba Cloud today, at the 2024 Big Data Expo on August 29, the Institute of Geochemistry of the Chinese Academy of Sciences and Alibaba Cloud jointly released the world's first "Lunar Science Multimodal Professional Big Model". The big model is built based on Alibaba Cloud's Tongyi series models. At present, the accuracy rate of lunar impact crater age and morphology has reached more than 80%. According to Alibaba Cloud, the lunar professional big model is based on the Tongyi series models such as vision, multimodality and natural language, combined with RAG retrieval enhancement and other technologies, and fine-tuned and trained in Alibaba Cloud Bailian exclusive version. At present, the lunar professional big model...- 2.5k
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