AI THAT PREDICTS CRIME WITH 90% ACCURACY- PROF ISHANU CHATTOPADHYAY episode artwork

EPISODE · Nov 7, 2022 · 52 MIN

AI THAT PREDICTS CRIME WITH 90% ACCURACY- PROF ISHANU CHATTOPADHYAY

from THE ONE'S CHANGING THE WORLD -PODCAST · host THE ONE'S CHANGING THE WORLD - future tech meets sustainability podcast in India

#artificialintelligence #crime #ai #universityofchicago #predictivepolicing #predictiveanalytics #predictiveprogramming #police #minorityreport Prof Ishanu Chattopadhyay heads the ZeD lab@UChicago where they investigate the core algorithmic principles behind data analysis with minimal human intervention, and little or no access to domain expertise. ZED lab is interested in unraveling complex emergent structures in biological, physical & social systems, solving hard problems in clinical decision-making, understanding the epidemiology of complex diseases, and reliably predicting rare events in complex stochastic phenomena. Prof Ishanu has developed an AI Algorithm that can forecast crimes being committed days before they actually occur. The AI model was tested across eight cities in the US and predicts future crimes with 80 to 90 percent accuracy, without falling foul of bias. Prof Ishanu's research focuses on the theory of unsupervised machine learning and the interplay of stochastic processes and formal language theory in exploring the mathematical underpinnings of the question of inferring causality from data. His most visible contributions include the algorithms for data smashing, inverse Gillespie inference, and nonparametric nonlinear and zero-knowledge implementations of Granger causal analysis that have crucial implications for biomedical informatics, data-enabled discovery in biomedicine, and personalized precision health care. His current work focuses on analyzing massive clinical databases of disparate variables to distill patterns indicative of hitherto unknown etiologies, dependencies, and relationships, potentially addressing the daunting computational challenge of scale and making way for ab initio and de novo modeling in an age of ubiquitous data. Chattopadhyay received an MS and PhD in mechanical engineering, as well as an MA in mathematics, from the Pennsylvania State University. He completed his postdoctoral training and served as a research associate in the Department of Mechanical Engineering at Penn State. He also held a postdoctoral fellowship simultaneously at the Department of Computer Science and the Sibley School of Mechanical and Aerospace Engineering at Cornell University. https://www.linkedin.com/in/ishanu-chattopadhyay-8579103b  https://zed.uchicago.edu/  https://twitter.com/ishanu_ch  https://ggsb.uchicago.edu/program/faculty/ishanu-chattopadhyay

#artificialintelligence #crime #ai #universityofchicago #predictivepolicing #predictiveanalytics #predictiveprogramming #police #minorityreport Prof Ishanu Chattopadhyay heads the ZeD lab@UChicago where they investigate the core algorithmic principles behind data analysis with minimal human intervention, and little or no access to domain expertise. ZED lab is interested in unraveling complex emergent structures in biological, physical & social systems, solving hard problems in clinical decision-making, understanding the epidemiology of complex diseases, and reliably predicting rare events in complex stochastic phenomena. Prof Ishanu has developed an AI Algorithm that can forecast crimes being committed days before they actually occur. The AI model was tested across eight cities in the US and predicts future crimes with 80 to 90 percent accuracy, without falling foul of bias. Prof Ishanu's research focuses on the theory of unsupervised machine learning and the interplay of stochastic processes and formal language theory in exploring the mathematical underpinnings of the question of inferring causality from data. His most visible contributions include the algorithms for data smashing, inverse Gillespie inference, and nonparametric nonlinear and zero-knowledge implementations of Granger causal analysis that have crucial implications for biomedical informatics, data-enabled discovery in biomedicine, and personalized precision health care. His current work focuses on analyzing massive clinical databases of disparate variables to distill patterns indicative of hitherto unknown etiologies, dependencies, and relationships, potentially addressing the daunting computational challenge of scale and making way for ab initio and de novo modeling in an age of ubiquitous data. Chattopadhyay received an MS and PhD in mechanical engineering, as well as an MA in mathematics, from the Pennsylvania State University. He completed his postdoctoral training and served as a research associate in the Department of Mechanical Engineering at Penn State. He also held a postdoctoral fellowship simultaneously at the Department of Computer Science and the Sibley School of Mechanical and Aerospace Engineering at Cornell University. https://www.linkedin.com/in/ishanu-chattopadhyay-8579103b  https://zed.uchicago.edu/  https://twitter.com/ishanu_ch  https://ggsb.uchicago.edu/program/faculty/ishanu-chattopadhyay

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AI THAT PREDICTS CRIME WITH 90% ACCURACY- PROF ISHANU CHATTOPADHYAY

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#artificialintelligence #crime #ai #universityofchicago #predictivepolicing #predictiveanalytics #predictiveprogramming #police #minorityreport Prof Ishanu Chattopadhyay heads the ZeD lab@UChicago where they investigate the core algorithmic...

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