In a world increasingly shaped by algorithmic decisions, ensuring that artificial intelligence (AI) systems are explainable and trustworthy has never been more urgent. Dr. John Dorsch from CETE-P argues that we've been looking at this the wrong way.
Xiaoyu He
I am excited to join the AI Center at CTU in Prague in February 2023. My work will focus on studying the impact of diet and -omics on non-communicable disease (e.g. obesity). My role would be related to causal discovery, e.g., learning causal models from time-series data.
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CTU is taking on nine top universities in Amazon’s latest global AI race, building a system that generates secure, attack-resistant code.
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