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 […]
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 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.
2019 Disruptive Technology & Digital Cities Summit
June 3, 2019
This year, the summit on June 3rd and 4th will focus is on “Crossing the Data Layer Through Mobility,” and will look at how new advances in material sciences, robotics, electric cars, cyber-security, autonomous vehicles, and artificial intelligence will impact the exchange of data to create new insights in urban settings.
Dream Team: Computational Techniques for Adaptive Teams
From The Theme SMART OFFICE WORKFLOWS WHAT IF What if we could leverage computation and machine learning to optimize team structure? WHAT WE SET OUT TO DO We set out to explore a new computationally empowered management practice for teams. We developed a system called “DreamTeam” that experiments with a set of possible team structures […]
Rich and Dynamic Treebank for HPSG* (Head-driven Phrase Structure Grammar)
From The Theme SOCIAL AND COMPUTING SCIENCES WHAT IF What if we could advance the capabilities of Natural Language Processing (NLP) by developing a parsed text database, or treebank, that was rich, flexible and dynamic? WHAT WE SET OUT TO DO We set out to design and develop a dynamic parsed text database (or treebank) […]
Trust and Transparency in Personalized Algorithms
June 5, 2018
The Trust, Transparency & Technology panel series consists of discussions that delve into the research, concepts and tools that may help create open collaborations in a world of automated intelligent agents, algorithm-driven interactions, and machines that can learn what humans can't explain.
Designing Sensor-Based Interactions by Example
From The Theme HUMAN MACHINE INTERACTION AND SENSING WHAT IF? What if we had tools that made designing sensor-based interactions, applications and products as easy as demonstrating sensor input and desired behavior? WHAT WE SET OUT TO DO We set out to develop a tool that would make designing sensor-based interactions as easy as performing […]