New Directions in Artificial Intelligence
Self-driving cars may soon change the world. But even more world-changing is the revolution taking place in speech and image recognition, predictive analytics, and deep learning. These new forms of artificial intelligence (AI) will impact our fields of study and our students in ways that we cannot yet imagine. In this FLC, faculty will together watch a video of a ground-breaking lecture by Dr. Naftali Tishby. Tishby links theories from AI, Information Theory, and Thermal Physics to explain the performance of deep neural networks, which may have broader implications for the nature of cognition. (https://www.quantamagazine.org/new-theory-cracks-open-the-black-box-of-deep-learning-20170921/) In addition, some members will give talks about the ideas in their own field that are behind these new theories.
Karl Schmitt Facilitator
Participating Members:
- Faculty Learning Communities
- Applying Memory Science to the Classroom & Doing Research to See If It Actually Works
- Backwards Design Curriculum Development
- Beyond Textbooks: Using Online Resources in Your Classroom
- Blended Learning: Using Technology to Improve Student Learning
- Classroom to Career: Integrating Career-Ready Skills into the Curriculum
- Creating a Compassionate Campus
- Difficult Dialogues in the Classroom and Beyond
- Eco-Pedagogy
- Faculty Civility
- Faculty/Student Mentoring
- Helping At-Risk Students
- Inclusive Excellence in STEM
- Interdisciplinary Projects in Mathematics
- Mindset: Moving Students from a Fixed to a Growth Mindset
- New Directions in Artificial Intelligence
- Small Teaching Online
- Small Teaching
- Supporting Teaching of International Students
- Teaching Across Cultures
- Teaching by Discussion
- Teaching to Your Strengths
- The Flipped Classroom
- The Scholarship of Teaching and Learning
- Unconventional Grading Methods