Machine learning could warn us about the next public health threat
"...what happens when something new and scary comes along? Pre-syndromic surveillance provides a safety net to identify emerging threats..."
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"...what happens when something new and scary comes along? Pre-syndromic surveillance provides a safety net to identify emerging threats..."
A win for Gov. Kathy Hochul would likely mean continuance of policies enacted in recent months, barring any major shake-ups in Democrats’ control of the Legislature.
E-Mail A team of researchers at New York University will develop new methods and tools aimed at minimizing systemic biases and producing more equitable public policy impacts on such areas as city housing inspections, policing, and courts. Under a $1 million grant from the National Science Foundation (NSF) and Amazon, Computer Science Professor Daniel B. Neill will lead the three-year research project centered on the growing use of Artificial Intelligence (AI) by urban public sector organizations--work that will include the creation of open source tools for assessing and correcting biases. ...