Preeti
AI has come a long way since the 1950s when the first version of AI was a computer that played chess. Today, AI tools are being used in various fields, including particle physics, astrophysics, and electric grid management. In particle physics, machine learning algorithms are being used to help keep particle beams flowing in accelerators. In astrophysics, AI is being used to optimize telescope scheduling to study a group of 1 billion galaxies more efficiently. In electric grid management, AI tools are being developed to help grid operators make decisions more effectively.
While AI is helping scientists make decisions based on past experience, there is also a need to incorporate serendipity into algorithms. Scientists like Brian Nord are exploring ways to leave AI systems open to unexpected discoveries by introducing conflict into the search process. By rewarding AI programs for exploring new spaces that may bring to light conflicting results, researchers hope to enhance scientific research and potentially uncover new insights into the universe. Ultimately, the goal is to develop AI tools that can work alongside humans, learning from each other to improve decision-making processes in various scientific fields.
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Source link: https://www.symmetrymagazine.org/article/ai-for-control-rooms?language_content_entity=und
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