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The Royal Academy of Sciences is committed to developing “green algorithms” to reduce the energy costs of artificial intelligence

The Royal Academy of Sciences is committed to developing “green algorithms” to reduce the energy costs of artificial intelligence

Madrid, November 29 (European Press) –

The Royal Academy of Exact, Physical and Natural Sciences of Spain (RAC) advises the development of so-called “green algorithms” to reduce computation times and energy costs and the creation of “specific accelerators” for artificial intelligence that facilitate the reuse of data, thus increasing energy efficiency.

This is what the Foundation reflected in the fifth edition of the Declaration of Funding and Management of Scientific Research in Spain 2023, which is titled “Opportunities for Energy Transformation and Digitization.” The Role of Academies in the Impact of Science on Our Society,” which was presented on Wednesday.

The Royal Academy of Sciences criticized the migration of young researchers abroad due to “poor” working conditions, and expressed its regret that the investment represented by Spain in the excellent training of engineers and scientists “is not being compensated, because” once their training is completed they will remain abroad where they have better conditions to develop their lives. Professional.”

The 2023 Declaration addresses the lines of action needed to reduce energy consumption resulting from the widespread application of artificial intelligence in almost all areas of life. Specifically, the agency warns that the current AI model’s electricity consumption projections are “concerning.”

“Science is the key to solving many of the social and economic problems that Spain in particular and the world in general suffer from, such as climate change, and adapting to the world of artificial intelligence, and we believe that science has the answer to many of these problems,” said the head of the Regional Activity Center, Jesús María Sanz Serna. “They are problems and they are necessary for this country.”

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