NEWS
Toastiest greetings
2025 is coming and we expect it to be promising! We are grateful to have you, our collaborators and partners in the academic community, our funders, suppliers and families in our valuable network, because we want to continue to pursue excellence in our research and have a positive and creative impact on the global community. […]
LASIGE researchers featured on 2024 Stanford’s University top 2% most-cited authors
Researchers at LASIGE are, again, featured in the top 2% list of the world’s most-cited scientists. This information is annualy compiled by Stanford University (USA) and published by Elsevier BV and highlights the top 2% of scientists globally across various fields, based on standardized citation metrics. It presents data for both career-long and single-year impact. […]
Sara Silva’s book reviewed by Genetic Programming and Evolvable Machines
The book entitled “Lectures on Intelligent Systems”, co-authored with Sara Silva, LASIGE integrated member, and Leonardo Vanneschi, LASIGE former member, published by Springer, was reviewed by the Genetic Programming and Evolvable Machines, a journal dedicated to the automatic evolution of software and hardware. Beatrice M. Ombuki-Berman, the author of the review, begins her analysis by […]
LASIGE Talks, the launching session
On 27 November 2024, LASIGE launched the ‘LASIGE Talks’, a fortnightly/monthly event to showcase recently distinguished publications or cutting-edge work in progress by researchers from the research centre, consolidating the scientific culture of the LASIGE community. These events also serve to foster a spirit of belonging, integration and well-being among researchers, and aims to stimulate […]
Catia Pesquita on “dinheiro vivo” newspaper
Catia Pesquita, LASIGE integrated member, was a guest on the podcast ‘No limite da Inteligência Artificial’ (On the edge of Artificial Intelligence), from the “dinheiro vivo” newspaper, on 22 November 2024, where she spoke about how AI is accelerating scientific research, especially in the areas of health and natural sciences. Paulo Dimas, Vice President of […]
Leon Ingelse, Guilherme Espada and Alcides Fonseca contribute to SRBench++
As part of the CAMELOT project, the genetic programming framework GeneticEngine was submitted to GECCO’22 Symbolic Regression competition, achieving 3rd place in the Real-World track in a case study of predicting covid cases in New York. Since then, the LASIGE team of Leon Ingelse, Guilherme Espada, and Alcides Fonseca contributed to the analysis of the state of […]