Machine Learning

Seth Perlman / AP

 


On today's program: After a report found that Black students in Pittsburgh are referred to the juvenile justice system at much higher rates than their white peers, the Pittsburgh Board of Education says they will take steps to reimagine school safety; machine learning could help proactively identify children most at-risk for lead poisoning; and how fire hydrants ended up on trails in Frick Park.

Courtesy of RoadRunner

A Pittsburgh-based startup is using technology to revolutionize the recycling industry. RoadRunner Recycling uses software designed to help businesses recycle more and save money.

Jessica Kourkounis / AP

When faced with a new medical diagnosis, it can be difficult for some people to retain important information about managing symptoms, treatment options and prescription regimens. 

Carnegie Mellon University|Delphi Group

Carnegie Mellon University’s Delphi Research Group has published several interactive maps that provide insight into the spread of coronavirus at the metro area and county levels. This information could be useful as state and local officials consider easing social distancing restrictions.

Kathleen J. Davis / 90.5 WESA

Machine learning is an integral part of Pittsburgh's tech economy, thanks to Carnegie Mellon University's position as one of the nation's foremost research centers on the topic. That's enticed tech giants such as Google and Uber to set up shop in the Steel City. 

Janice Carr / CDC via AP

Hospitals should reconsider the prevailing one-size-fits-all approach for treating sepsis, according to new research from the University of Pittsburgh. 

Jean-Pierre Houël / Wikipedia Commons

The French Revolution, which began in 1789, was the bloody scene setter for a myriad of European political upheavals. Now, machine learning is shedding light into how linguistics played a role in the discussion of democratic ideals and formation of the new government.

A team of researchers, including Carnegie Mellon University assistant professor Simon DeDeo, used machine learning to analyze more than 40,000 digitized transcripts from the first two years of debates of the first makeshift French parliament, during the beginning of the revolution.

Courtesy of Carnegie Mellon University

Carnegie Mellon University’s School of Computer Science and Sony Corporation are collaborating to create robots that can prepare and deliver food.

Darryl Matevish / AP

Artificial intelligence developed by Carnegie Mellon University can pinpoint which commercial buildings are most likely to catch fire.

John Minchillo / 90.5 WESA

The future of work will hinge on machine learning technology, a type of artificial intelligence that improves performance with experience, according to Carnegie Mellon University's Tom Mitchell. 

Don Ryan / AP Photo

Some homes with solar panel installations also have solar batteries, which store energy for later use. A Pittsburgh start-up has developed artificial intelligence software that could make those batteries more efficient. 

Currently, solar batteries with decision-making abilities can only do so based on real-time information. For example, on a cloudy day when solar panels might not produce enough electricity to power a house, a charged battery would automatically kick in to make up the difference.

Jessica Kourkounis / AP

New research from the University of Pittsburgh and UPMC credits a computer program with detecting sudden kidney failure in hospitalized patients.

 

Acute kidney injury affects one in eight hospitalized patients in the U.S., according to UPMC. About 2 million people in the world die of the condition each year, and because it’s often asymptomatic, it can be undetected until problems arise.

Robert Pfeil / AP

The influenza virus spreads one person at at time.

According to the Centers for Disease Control and Prevention, an infected individual coughs, sneezes or even just talks, and airborne droplets land in the mouths and noses of other people up to 6 feet away.