• Working on diversity
    Research is more creative and less biased when it is done by scientists that differ in many ways. But how to be inclusive and diverse as a research institute? This is how we approach the problem.
  • A little history of AI at the UvA
    In 1992, the AI teaching programme at the UvA was launched. Nobody had heard of deep learning and AI revolved around logical reasoning. For a look back at the beginnings we talked to Frank Veltman, emeritus professor at the ILLC.
  • Explaining voting outcomes with AI
    Arthur Boixel and Ulle Endriss use AI to explain voting outcomes. How? Just like you would solve a sudoku. This video explains more.
  • Lightening up the black box
    Dieuwke Hupkes reflects on her PhD in the fast-moving field of natural language processing. Artificial neural networks are not only computational tools – they can also teach us something about the human brain.
  • Why no voting system is fair and how AI can help
    How to combine individual points of view to find the best possible compromise? This might seem trivial. But in fact, it’s really hard to answer! This video explains why.
  • Music in our genes
    Newborns perceive rhythm, chimpanzees dance to music and pigeons can distinguish Bach from Stravinsky. The root of human musicality lies in our genes. An interview with music scientist Henkjan Honing.
  • Quantum computing in quarantine
    Berkeley, January to May 2020. The Who’s who in Quantum Computing and cryptography is coming together to discuss cutting-edge research. An interview with quantum expert Chris Schaffner.
  • The pandemic through people‚Äôs eyes
    Many claim that the pandemic we are living through is a historical event. But which story will be told about it? Tobias Blanke and Julia Noordegraaf want to take a look at the crisis through the lens of individual experiences.
  • How Corona is changing science
    The flood of information about the COVID-19 pandemic is overwhelming. But which sources are relevant? Researcher Giovanni Colavizza uses artificial intelligence to bring structure into the science related to COVID-19.