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Sciences & Research (Discoveries & Algorithms)

This section covers the impact of predictive and generative models on the fundamental scientific approach and understanding of matter.

Subcategories

  • Biology : AlphaFold, protein folding, genetic sequencing, synthetic biology, and cellular engineering.
  • Physics : quantum computing, materials simulation, particle physics (CERN), nuclear fusion research.
  • Space : Mass data processing (JWST, Euclid telescope), exoplanet detection, algorithmic celestial mapping.
  • Géosciences: Neural weather models (such as GraphCast), earthquake prediction, oceanography, and ecosystem modeling.
  • Neurosciences : Human brain mapping, modeling of biological neural networks, neuro-computational interfaces.
  • Epistemology : The transformation of the scientific method, AI as a co-researcher, the resolution of mathematical conjectures, and the validity of proofs.
  • Knowledge Base : From theoretical computer science to computational linguistics, explore the foundations of artificial intelligence. A dive into the heart of theoretical knowledge.
  • Actors of science : Explore the research centers pushing the boundaries of scientific discovery.