Portuguese explorer Luis Simões has won the ESA Ariel Machine Learning Data Challenge, which aims to develop “high fidelity” artificial intelligence and machine learning (machine learning) methods to characterize planets orbiting others. stars, also known as exoplanets, are promoted by Exame Informática.
According to the publication, the algorithm, created by the founder of ML Analytics, will be used in the Ariel space mission, which will be launched in 2029, to study the chemical atmosphere of thousands of exoplanets and allow scientists to estimate “sizes.” planets when they pass in front of its stars. “
The Portuguese-generated winning solution score achieves an average error of 0.00007 percent, which is “significantly lower than other teams and which puts the method already very close to Ariel’s mission accuracy goals,” it said. statement.
Luis Simoins reacted to the award by saying: “For me and for ML Analytics, the company I founded, it is a great pride to bring this award to Portugal. It is the culmination of decades of research to support and develop artificial intelligence. I hope that this small step for Science through Ariel’s mission will lead to a large expansion of human knowledge about the Universe. “
