Predictive Decision-Making at the Speed of Thought

March 5, 2013
Lori Stone, Microsoft

The Computational Ecology and Environmental Science (CEES) group at Microsoft Research Cambridge has developed the CEES Distribution Modeler, a browser app that enables users to visualize data, define a complex model, parameterize it, make predictions with uncertainty, and share it all transparently and in repeatable form.

- Lori Stone

Watch Next

MindJourney: Test-Time Scaling with World Models for Spatial Reasoning
August 12, 2025
Reuben Tan
VeriTrail: Detect hallucination and trace provenance in AI workflows
August 5, 2025
Dasha Metropolitansky
Computational models for brain science
July 24, 2025
Brokoslaw Laschowski
Building Better Language Models Through Global Understanding
July 23, 2025
Dr. Marzieh Fadaee
How I became a StoryTeller (and how YOU can too)
July 21, 2025
Sumit Gulwani
Final intern talk: Distilling Self-Supervised-Learning-Based Speech Quality Assessment into Compact Models
July 18, 2025
Benjamin Stahl
DAViD: Data-efficient and Accurate Vision Models from Synthetic Data
July 11, 2025
Sadegh Aliakbarian,

Tadas Baltrusaitis,

Antonio Criminisi

, et. al.
VoluMe: Authentic 3D Video Calls from Live Gaussian Splat Prediction
July 11, 2025
Antonio Criminisi,

Charlie Hewitt,

Marek Kowalski (HE/HIM)
Make some noise: Teaching the language of audio to an LLM using sound tokens
August 22, 2024
Shivam Mehta
Medical Bayesian Kiosk (2010)
January 1, 2010
Dan Bohus,

Eric Horvitz