Adventures in Machine Learning: From Logic Simulation to Exoplanet Identification

Machine learning takes center stage in this week’s Fish Fry podcast! First, we examine a new machine learning algorithm developed by researchers at the University of Warwick Department of Physics and the Alan Turing Institute. We take a closer look at the datasets used in this new algorithm and why this groundbreaking research will help confirm the existence of exoplanets and significantly speed up our understanding of the universe. Keeping with our machine learning theme, Paul Cunningham (Cadence Design Systems) also joins us this week to discuss the details of Cadence’s new machine learning-optimized Xcelium logic simulation and how machine learning can accelerate regression throughput.

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Links for September 4, 2020

More information about Cadence Design Systems

Cadence Delivers Machine Learning-Optimized Xcelium Logic Simulation with up to 5X Faster Regressions

Fifty new planets confirmed in machine learning first (Warwick News)

Exoplanet Validation with Machine Learning: 50 new validated Kepler planets (Oxford Academic White Paper)

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