ARIM-mdx Data System: Towards a Nationwide Data Platform for Materials Science

Autor: Hanai, Masatoshi, Ishikawa, Ryo, Kawamura, Mitsuaki, Ohnishi, Masato, Takenaka, Norio, Nakamura, Kou, Matsumura, Daiju, Fujikawa, Seiji, Sakamoto, Hiroki, Ochiai, Yukinori, Okane, Tetsuo, Kuroki, Shin-Ichiro, Yamada, Atsuo, Suzumura, Toyotaro, Shiomi, Junichiro, Taura, Kenjiro, Mita, Yoshio, Shibata, Naoya, Ikuhara, Yuichi

In modern materials science, effective and high-volume data management across leading-edge experimental facilities and world-class supercomputers is indispensable for cutting-edge research. However, existing integrated systems that handle data from t

Externí odkaz: http://arxiv.org/abs/2409.06734

LLM-jp: A Cross-organizational Project for the Research and Development of Fully Open Japanese LLMs

Autor: LLM-jp, Aizawa, Akiko, Aramaki, Eiji, Chen, Bowen, Cheng, Fei, Deguchi, Hiroyuki, Enomoto, Rintaro, Fujii, Kazuki, Fukumoto, Kensuke, Fukushima, Takuya, Han, Namgi, Harada, Yuto, Hashimoto, Chikara, Hiraoka, Tatsuya, Hisada, Shohei, Hosokawa, Sosuke, Jie, Lu, Kamata, Keisuke, Kanazawa, Teruhito, Kanezashi, Hiroki, Kataoka, Hiroshi, Katsumata, Satoru, Kawahara, Daisuke, Kawano, Seiya, Keyaki, Atsushi, Kiryu, Keisuke, Kiyomaru, Hirokazu, Kodama, Takashi, Kubo, Takahiro, Kuga, Yohei, Kumon, Ryoma, Kurita, Shuhei, Kurohashi, Sadao, Li, Conglong, Maekawa, Taiki, Matsuda, Hiroshi, Miyao, Yusuke, Mizuki, Kentaro, Mizuki, Sakae, Murawaki, Yugo, Nakamura, Ryo, Nakamura, Taishi, Nakayama, Kouta, Nakazato, Tomoka, Niitsuma, Takuro, Nishitoba, Jiro, Oda, Yusuke, Ogawa, Hayato, Okamoto, Takumi, Okazaki, Naoaki, Oseki, Yohei, Ozaki, Shintaro, Ryu, Koki, Rzepka, Rafal, Sakaguchi, Keisuke, Sasaki, Shota, Sekine, Satoshi, Suda, Kohei, Sugawara, Saku, Sugiura, Issa, Sugiyama, Hiroaki, Suzuki, Hisami, Suzuki, Jun, Suzumura, Toyotaro, Tachibana, Kensuke, Takagi, Yu, Takami, Kyosuke, Takeda, Koichi, Takeshita, Masashi, Tanaka, Masahiro, Taura, Kenjiro, Tolmachev, Arseny, Ueda, Nobuhiro, Wan, Zhen, Yada, Shuntaro, Yahata, Sakiko, Yamamoto, Yuya, Yamauchi, Yusuke, Yanaka, Hitomi, Yokota, Rio, Yoshino, Koichiro

This paper introduces LLM-jp, a cross-organizational project for the research and development of Japanese large language models (LLMs). LLM-jp aims to develop open-source and strong Japanese LLMs, and as of this writing, more than 1,500 participants

Externí odkaz: http://arxiv.org/abs/2407.03963

Is Self-Supervised Pretraining Good for Extrapolation in Molecular Property Prediction?

Autor: Takashige, Shun, Hanai, Masatoshi, Suzumura, Toyotaro, Wang, Limin, Taura, Kenjiro

The prediction of material properties plays a crucial role in the development and discovery of materials in diverse applications, such as batteries, semiconductors, catalysts, and pharmaceuticals. Recently, there has been a growing interest in employ

Externí odkaz: http://arxiv.org/abs/2308.08129

mdx: A Cloud Platform for Supporting Data Science and Cross-Disciplinary Research Collaborations

Autor: Suzumura, Toyotaro, Sugiki, Akiyoshi, Takizawa, Hiroyuki, Imakura, Akira, Nakamura, Hiroshi, Taura, Kenjiro, Kudoh, Tomohiro, Hanawa, Toshihiro, Sekiya, Yuji, Kobayashi, Hiroki, Matsushima, Shin, Kuga, Yohei, Nakamura, Ryo, Jiang, Renhe, Kawase, Junya, Hanai, Masatoshi, Miyazaki, Hiroshi, Ishizaki, Tsutomu, Shimotoku, Daisuke, Miyamoto, Daisuke, Aida, Kento, Takefusa, Atsuko, Kurimoto, Takashi, Sasayama, Koji, Kitagawa, Naoya, Fujiwara, Ikki, Tanimura, Yusuke, Aoki, Takayuki, Endo, Toshio, Ohshima, Satoshi, Fukazawa, Keiichiro, Date, Susumu, Uchibayashi, Toshihiro

The growing amount of data and advances in data science have created a need for a new kind of cloud platform that provides users with flexibility, strong security, and the ability to couple with supercomputers and edge devices through high-performanc

Externí odkaz: http://arxiv.org/abs/2203.14188

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