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University shares update on efforts to advance diversity, equity, and inclusion

Feedback sought on set of 65 recommendations developed by Roadmap 2020 Task Force
By
Hub staff report
/
Published
May 28, 2021
Johns Hopkins University unveiled a set of draft recommendations Monday that will lay the foundation for the next iteration of the JHU Roadmap on Diversity and Inclusion, which since 2016 has served as the university s guiding document and accountability framework for advancing equity and inclusion.
The 65 recommendations cover a range of topics faculty diversity and staff advancement, community and alumni engagement, student support and success, training and development, and institutional accountability. They were developed by the 43-member Roadmap 2020 Task Force and seven working groups made up of 162 students, faculty, staff, alumni, and community partners. ....

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Lyme selfies

By
Marlene Cimons
/
Published
Spring 2021
Long before the COVID-19 pandemic prompted a surge in telemedicine, John Aucott s patients would text
and email him photos of their rashes.
My kids used to joke: Don t look at dad s phone because it s got pictures of people s body parts, Aucott says. Every time my phone pinged, it felt like
Groundhog Day because it was the same, over and over.
His phone is still pinging, but Aucott, director of the Johns Hopkins Lyme Disease Research Center, wants to see the photos because he knows that untreated Lyme disease can portend debilitating long-term medical consequences, including damage to the heart, joints, and nervous system. ....

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A new foundation toward achieving the next generation of artificial intelligence

Credit: World Scientific
Human beings are living inside an ocean of signals. These signals enable human beings to demonstrate intelligence. Similarly, machines are also surrounded by signals. Artificial intelligence (AI) or machine intelligence has become a hot topic for many decades due to the high expectation of the public on the emergence of smart machines and smart products.
However, the AI research community is still struggling to determine the foci of machine intelligence. For instance, the low-level focus of AI is to advocate computer-aided human intelligence. We believe that the more challenging focus should aim at creating machines that can achieve human-like self-intelligence by themselves. ....

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