✍️Research Review: Space missions out of this world with AI🚀

🌐Link to the paper: https://www.nature.com/articles/s42256-023-00643-3

The paper presents a broad vision for the next decade regarding what capabilities need to be developed, how current machine learning approaches should be adapted to space and where technology and knowledge gaps exist. The contributions of this paper are as follows:

🟣Envisioning the role of AI in autonomous biomonitoring, research, and Earth-independent healthcare in space exploration.

🟣Identifying various broad areas for setting up a precision space health framework for space travellers, including integrating software with on-board hardware for data collection, data analysis, and in-situ computation and inference.

🟣Discussing the need for standardization of space data and metadata, advocating the development of an open science approach building on ‘FAIR’ principles for data management (findable, accessible, interoperable, and reusable).

🟣Reviewing existing capabilities in AI-assisted biology experiments, both Earth and space-based, and discussing what is needed for further automation in deep space missions.

🟣Highlighting the need for advanced machine learning methods to process multi-layered, multimodal data and make useful predictions based on out-of-distribution data, given that representative training data is lacking.

The paper discusses the need for advanced machine learning methods to process multi-layered, multimodal data and make useful predictions based on out-of-distribution data, given that representative training data is lacking. However, the paper does not provide a detailed description of the specific methods used in the research.

The paper entitled "Biomonitoring and precision health in deep space supported by artificial intelligence" and "Biological research and self-driving labs in deep space supported by artificial intelligence" presents a broad vision for the next decade regarding what capabilities need to be developed, how current machine learning approaches should be adapted to space, and where technology and knowledge gaps exist. The authors envision the use of AI-enabled autonomous monitoring, research, and precision healthcare as key technologies for future deep space missions. However, the paper does not provide any specific results of the research.

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