However boffins in academia need to match the progress made in Big Tech, and always challenge poor data quality
, astrophysics and nuclear fusion, scientists using AI are seeing results in improved accuracy and reduced experimental time.from a team of 30 researchers from around the globe assesses the progress made in the much-hyped field, and understands what needs to be done.
Another example comes from attempts to achieve nuclear fusion. Google DeepMind research scientist Jonas Degrave developed an AI controller to regulate nuclear fusion through magnetic fields in a tokamak reactor. The researchers showed how an AI agent could take real-time measurements of electrical voltage levels and plasma configurations to help control the magnetic field and meet experimental targets.
"The practical implementation of an AI system involves complex software and hardware engineering, requiring a series of interdependent steps that go from data curation and processing to algorithm implementation and design of user and application interfaces. Minor variations in implementation can lead to considerable changes in performance and impact the success of integrating AI models within scientific practice.
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