Human-Computer Interaction and Coevolution in Science AI Robotics

Author:

Maruyama Yoshihiro

Publisher

Springer Nature Switzerland

Reference24 articles.

1. Caliskan, A., et al.: Semantics derived automatically from language corpora contain human-like biases. Science 356, 183–186 (2017)

2. Harada K., et al.: Co-evolution of Human and AI-Robots to Expand Science Frontiers, Moonshot Project of Japan. https://sites.google.com/g.ecc.u-tokyo.ac.jp/moonshot-ai-science-robot/home. Accessed Jan 2022

3. King, R., et al.: The automation of science. Science 324, 85–89 (2009)

4. Knight, W.: AI Can Do Great Things — if It Doesn’t Burn the Planet, WIRED (2020). https://www.wired.com/story/ai-great-things-burn-planet/. Accessed Oct 2021

5. Liu, Z., Tegmark, M., Poincaré, A.I.: Machine learning conservation laws from trajectories. Phys. Rev. Lett. 126, 180604 (2021)

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