Andreas Krause has been actively tweeting about various topics related to AI and machine learning. In recent tweets, he mentioned openings for postdocs with interests in mathematical foundations of trustworthy machine learning at CSatETH. He also highlighted the importance of discovering model blind spots and hidden failure modes for trustworthy AI.
Furthermore, Andreas shared exciting news about the expansion of LatticeFlow, a company focused on bringing safe and trustworthy AI to critical sectors, into the U.S. market. He also promoted PhD and PostDoc positions in AI x Science, emphasizing groundbreaking research opportunities in climate modeling, renewable energy, molecular design, and more.
In addition to job announcements and collaborations with research institutes like IBM Research and Broad Institute, Andreas expressed his enthusiasm for joining the University of Zurich as an Assistant Professor in Machine Learning next year. He also shared information about professorship openings in Theoretical Computer Science at ETH Zurich.
Moreover, Andreas mentioned tenure track positions at ETH Zurich and encouraged others to apply if interested. He discussed various topics such as algorithmic system theory, control systems, learning systems, formal methods optimization techniques. Additionally, he announced his appointment to the UN High-level Advisory Body on AI.
In terms of sentiment analysis towards AI's progress, it is difficult to determine a clear positive or negative stance based solely on these tweets. However, Andreas Krause's active involvement in academic research positions and collaborations suggests a general optimism towards advancing AI technologies.
Overall Trends: Mathematical foundations of trustworthy machine learning; Discovering model blind spots; Safe & trustworthy AI expansion; PhD & PostDoc positions in AI x Science; Job openings at different research institutes; Tenure track positions in Algorithmic System Theory; UN High-level Advisory Body on AI
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