Thursday Morning Talk

Bojana Grujičić (Science of Intelligence), “Artificial possibilities”

SCIoI, Marchstraße 23, 10587 Berlin, Room 2.057

Science often deals with issues pertaining to possibilities, contingencies and necessities, by engaging in thought experiments and modeling. This talk discusses how much deep learning can be helpful for navigating the possibility space for intelligence, adding to our scientific understanding of possibilities. One epistemically useful feature of neural networks is their runnability - they can

Thursday Morning Talk

Adrien Doerig (Freie Universität), “High-level visual representations in the human brain are aligned with large language models”

SCIoI, Marchstraße 23, 10587 Berlin, Room 2.057

The human brain extracts complex information from visual inputs, including objects, their spatial and semantic interrelations, and their interactions with the environment. However, a quantitative approach to capture this information remains elusive. I will present work where we show that LLM embeddings of scene captions successfully characterise brain activity evoked by viewing the natural scenes.