Recently, UMBC recognized associate vice provost for strategic initiatives, and professor of practice in College of Engineering and Information Technology, Renetta Tull, for her transformative leadership in advancing diversity in STEM. In today’s Industry Roundup, we’ll take a look at the need for more women in STEM roles. We’ll also dive into machine learning and AI, the Nacebo effect, and techniques to up your thinking game.
Industry Roundup is brought to you by UMBC’s Division of Professional Studies, offering a broad array of professionally-focused master’s degree and certificate programs that address industry needs while anticipating future opportunities.
Gender parity in the workforce, specifically STEM-related workforces could end up costing us dearly. This article delves into the need for women in STEM roles and some advances already made as a result of a rise in female STEM employees over the last year.
Will we end up living in a world where machine learning will mess with the AI system and cause some pretty serious problems for those wishing to grab hold of the power of AI in their business? According to an expert at UC Berkeley, the security risks are real.
Imagine you’re part of a study to test a new pill on blood pressure. You take the pill, and soon after you find your heart in a scary and and terrible state of compromise. You rush to the hospital, assuming this new pill is to blame. Then, you find out the pill is a sugar pill. You suddenly begin to breathe normally again and your heart returns to normal beating. This is the Nacebo effect.
Thinking. It’s something we all do. Some more creatively than others. Why is this? Do these people naturally come to great thoughts immediately as it might appear or are the thoughts they share their fifth, tenth, maybe twentieth rather than their first? Turns out, some of the greatest ideas come not from that initial thought, but instead from one that is carefully cultivated through a period of time.