New Opportunities to Solve Healthcare Challenges with AI
An Interview with Dr. Jimeng Sun about the new Deep Learning for Healthcare Specialization on Coursera Artificial intelligence and deep learning are being used to solve important challenges in the field of healthcare, and these innovations are being made possible through the groundbreaking efforts of visionary practitioners who work at the intersection of health and…
Gram Notes – the software publishers combining expertise and experience
Alison provides a marketplace to teach and learn without physically having to be in the same place. In a world where social distancing is the new normal this is a big plus. Alison pays publishers regularly and on time, which make it a reliable source of revenue as well. A big advantage of Alison is…
Marc Seter’s Journey: Balancing Life, Learning, and a 90-Minute Swim
Many adult learners juggle full-time work, family, and personal commitments while earning their degrees. For seasoned civil engineer, Marc Seter, this balancing act isn’t just a challenge—it’s a skill he’s mastered. Between working full-time, caring for family, and pursuing his Master’s in Computer Science degree from CU Boulder, he’s found creative ways to make learning…
Anisa Ray: Test Prep Teacher to Software Engineer
Anisa Ray, MCIT ’22, studied rhetoric in college and then worked as a test prep teacher, getting students ready to ace their graduate school entrance exams. Today, she’s a newly minted graduate of the online Master of Computer and Information Technology (MCIT Online) from University of Pennsylvania and a software engineer at Palo Alto Networks,…
Computer Vision Specialization Q&A with the University at Buffalo and MathWorks
Answering your most pressing questions about the new Computer Vision Specialization on Coursera are Radhakrishna Dasari, Computer Science and Engineering Instructor and Dr. Junsong Yuan, Associate Professor of Computer Science and Engineering and Director of the Visual Computing Lab from the University at Buffalo, The State University of New York. An integral part of this…
Correcting Misconceptions: Time to Close the Tech Sector Gender Gap
With latest workforce data revealing that women make up less than 20% of the IT sector in the UK, and just 25% in the US, the industry is working hard to encourage more diversity. We spoke to two senior computer scientists about why more young women should join the tech revolution: “There’s a perception of…
