As AI research develops and we become more familiar with the wide-reaching potential of AI & ML technology, top research universities have begun to further incorporate AI-based education into their curriculum, extracurricular offerings, and research initiatives. Top universities understand the imperative of adjusting to a world in which AI plays a major role in our everyday lives. Here are some of the exciting new initiatives at top universities:
1. AI + Neuroscience @ Harvard
In December, Harvard launched the new Kempner Institute for the Study of Natural and Artificial Intelligence. The new institute will serve undergraduate and graduate students as well as postdoctoral fellows as a part of a new university-wide initiative to explore the intersection of neuroscience and artificial intelligence . Commenting on the new initiative, Harvard President Larry Bacow said, “[the institute] represents a remarkable opportunity to bring together approaches and expertise in biological and cognitive science with machine learning, statistics, and computer science to make real progress in understanding… the world more broadly.” At this intersection, the institute seeks to better understand disease and the human body and to create new therapies. The institute is expected to open at the end of 2022.
2. Cornell partners with r4
The partnership between Cornell, the Ivy League research University, and r4, the technology leader, brings together cross-disciplinary scholars and industry experts to develop new technologies in AI, data science, and advanced mathematics. Specifically, the partnership aims to use AI to improve economic outcomes for businesses while maintaining a positive societal and environmental impact on the world. As part of this partnership, Cornell has worked to evolve its curriculum, integrating AI learning into more undergraduate courses and allowing r4 professionals to connect with students in the masters’ programs to address real-world problems.
3. Duke AI Health fellowships integrates AI with healthcare
Duke’s AI Health fellowship provides two years of data science training with an emphasis on applications in healthcare. The fellowship is part of a larger commitment by the university to explore the multidisciplinary intersection between AI and healthcare. By bringing these two fields together, the program aims to improve healthcare delivery, quality of care, and the health of individuals and communities.
4. Stanford students launch GRACE, a new AI ethics journal
Stanford’s newly-founded academic journal, GRACE: Global Review of AI Community Ethics, aims to publish new articles at the forefront of AI ethics research. In addition to the student staff, three professors from the Program in Writing and Rhetoric (PWR) program will participate in the journal as mentors. GRACE will be divided into three categories – social impact, framework, and research notes and commentary – which the editors believe will allow the journal to capture a wide array of perspectives. This is key to the mission of the journal, which seeks to highlight the cross-disciplinary potential of AI as well as uplift the work of underrepresented communities in tech.
Explore cross-disciplinary intersections of AI with Envision Learn
Much like these top universities, Envision Learn is interested in exploring cross-disciplinary intersections with AI. Our AI courses focus on AI+, unexpected convergences between AI and topics like art, sports, politics, and law. We offer virtual learning courses during the summer, led by Stanford alumni, that will help develop a student’s interest in AI and its applications. More information about our virtual summer camp can be found here: https://envisionlearn.com/aiplus/