Computers don't byte
Episode 15: Anna Kononova: Lenses for chip manufacturing, unveiling the complexity of their design
How can nature-inspired evolution help us create the perfect optical lens? Assistant Professor Anna Kononova explores this question in her research. High-tech industries, like computer chip manufacturers, require ultra-precise lenses to keep up with the demand for increasingly complex designs.
Anna uses evolutionary computing, a technique that mimics natural selection. Just as nature evolves the fittest species, computers generate and test many lens designs, keeping the best and refining them over generations. This approach helps create cutting-edge technology with incredible precision
Listen to the full episode on Spotify.
Episodes
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Episode 23: Mike Preuss: Beyond entertainment, the science of gamesGame AI expert Mike Preuss takes us from the world of Go‑playing algorithms to cutting‑edge chemistry. Hear how Monte Carlo Tree Search, the tech...
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Episode 22: Eleftheria Makri: Rethinking privacy in a data-driven worldIn this episode, assistant professor Eleftheria Makri takes us from a classic 1980s cryptography puzzle to today’s urgent questions about data pr...
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Episode 21: Henning Basold: from biology to rockets, the science of systems -
Episode 20: Rita Pucci: Reading the stripes, AI meets wildlife -
Episode 19: Arno Knobbe: Engineering Gold, the science behind Dutch speed skating -
Episode 18: Joost Broekens and Thomas Moerland: AI, revolution or bubble? -
Episode 17: Evert van Nieuwenburg: Tiq Taq Toe, exploring quantum concepts through gameplay -
Episode 16: Marco Spruit: Ai powered pets, a new indicator of elderly well-being? -
Episode 15: Anna Kononova: Lenses for chip manufacturing, unveiling the complexity of their design -
Episode 14: Mitra Baratchi: Designing the perfect algorithm to understand the world -
Episode 13: Peter van der Putten: Tamagotchi, a precursor to today’s human loved home robots -
Episode 12: Hao Wang: From Amsterdam to Paris, real-life applications of Pareto optimum -
Episode 11: Lu Cao: Hay Fever, how AI improves pollen monitoring -
Episode 10: Joost Broekens: Robots & Emotions, are we moving from AI to EI? -
Episode 9: Vedran Dunjko: Next level computing, exploring the world of quantum -
Episode 8: Hazel Doughty: Video Understanding, a step towards the real world -
Episode 7: Jan van Rijn: Robustness, unveiling the black box of AI -
Episode 6: Tessa Verhoef: Robots, a way to better understand humans -
Episode 5: Rob van Nieuwpoort: Efficient computing, a journey starting with a Commodore 64 -
Episode 4: Joost Batenburg: detecting fingerprints with tomography -
Episode 3: Max van Duijn, using language as a window on the mind -
Episode 2: Niki van Stein: can explainable AI save lives? -
Aflevering 1: Suzan Verberne: the future of chatbots is human