Vendredi 27 Avril 2018, 14h00
Head of Artificial Intelligence and Gene Regulation, IGH, Montpellier
“Artificial Intelligence empowers transcriptomics but will ultimately cause its demise"
The seminar in short:
In my talk, I will show how simple information theory concepts such as entropy and information content allow scientists to better understand gene regulation in numerous types of disease. I will then demonstrate that recent advances in artificial intelligence approaches such as genetic programming and neural nets may be so powerful that they abrogate our need to understand these functions at all. Recent research in my team will show how AI allows us to explore sequencing data from cancer samples with no a priori and is more powerful than current approaches for classifying and predicting outcomes.
Retour à la liste générale