“Rethink What’s Possible” - MSOE sits down with Sheila Ross and John Bukowy to talk about Humanizing Machine Learning

“Rethink What’s Possible” - MSOE sits down with Sheila Ross and John Bukowy to talk about Humanizing Machine Learning “Rethink What’s Possible” - MSOE sits down with Sheila Ross and John Bukowy to talk about Humanizing Machine Learning

November 9, 20211 min read
Featuring:
On Rethink What’s Possible, a podcast by Milwaukee School of Engineering, MSOE students, faculty, staff, alumni and community partners share their inventions, research, industry trends, projects, experiences and how they’re rethinking what's possible.


Artificial intelligence. Machine learning. High performance computing. Super computers. These terms have been around for quite a while now, but only in recent years the research has been put into practice and there are no signs of it slowing down.


Episode Three, 'Humanizing Machine Learning,' Artificial intelligence (AI) is becoming prominent in more and more industries each day, including health care.





Artificial intelligence (AI) is becoming prominent in more and more industries each day, including health care. Join Dr. Sheila Ross and Dr. John Bukowy, AI faculty experts from Milwaukee School of Engineering (MSOE) and student Ethan Hindes as they discuss the advancements of AI in “Humanizing Machine Learning,” part of the MSOE podcast, “Rethink What’s Possible.” They talk about its impact on their research with the Medical College of Wisconsin to identify and assess the severity of damage to blood vessels in kidneys. Hindes also discusses how he found his way to major in computer science.



The podcast is available for download and well worth listening to. And, if you are a journalist interested in learning more or arranging an interview with Dr. Ross or Bukowy – simply click on either expert's icon now to arrange an interview today.



Connect with:
  • John Bukowy, Ph.D.
    John Bukowy, Ph.D. Assistant Professor

    Dr. John Bukowy's area of expertise include software development and machine learning.

  • Sheila Ross, Ph.D.
    Sheila Ross, Ph.D. Professor and Department Chair

    Dr. Sheila Ross is an expert in the areas of universal design and engineering education.

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