Three Algorithmists Meet Robin Hood
Bruce Cahan is a Consulting Professor in Stanford’s School of Engineering, where he designs and applies new theories for creating a financial and insurance marketplace that improves regional quality of life systems. He is also CEO and co-founder of Urban Logic, a nonprofit that harnesses finance and technology to change how systems think, act and […]
Teaching Algorithms How to Teach
Emma Brunskill is an assistant professor in the computer science department at Stanford University where she leads the AI for Human Impact (@ai4hi) group. Her work focuses on reinforcement learning in high-stakes scenarios-how can an agent learn from experience to make good decisions when experience is costly or risky, such as in educational software, health […]
Connecting the Learner with Learning in Learning Management Systems
Ajay Madhok is the Founding Partner of Reboot Digital and an Advisor to Playground Global. He is a growth architect, challenging norms to uncover technology-powered growth opportunities, calibrating businesses for commercial success, by enlisting entrepreneurial talent to deliver outcomes via purpose-built startups. Ajay’s re-imagination experience includes building four ventures, with two getting acquired, one merged, […]
The Human Code for Learning
Martha Russell is Executive Director of mediaX at Stanford University and Senior Research Scholar with the Human Sciences Technology Advanced Research Institute at Stanford. Dr. Russell leads business alliances and interdisciplinary research for mediaX at Stanford University. With people and technology as the intersecting vectors. Russell’s background spans a range of business development, innovation and […]
mediaX Thought Leader Shows High School Students are Unprepared to Judge Credibility of Information on the Internet
Professor Sam Wineburg co-authors a report showing prospective young voters are poorly equipped to evaluate the sources of online content.
Algorithms and Analytics: Connecting the Learner and the Learning
October 23, 2019
Join us October 23, 2019 in CERAS #101 from 8:30am to 4:45pm as experts and members in the mediaX community explore the frontiers of learning algorithms and analytics that connect learners with learning including; Measuring what Matters in Learning, Designing Learning Experiences and Algorithms for Conversation and Developing Metatags for Open Exchange.
mediaX Thought Leaders Develops New Algorithm with More Realistic Sound Effects in VR
Professor Doug James uses a new algorithm with faster tools to seamlessly sync sound and action in a simulated 3D setting.
mediaX Thought Leaders Want More Video Games for Science and Learning
Rhiju Das and Ingmar Riedel-Kruse feel games have been enhancing time-consuming biomedical research while allowing players to experience real-world science, which is often otherwise hidden behind laboratory doors.
mediaX Thought Leader Helps Design Auto-focus Lenses That Focus on What You See
Gordon Wetzstein uses eye-tracking technology to automatically control lenses that are designed to restore proper vision in people who would ordinarily need progressive lenses.