Likelihood based data drift detection
Advantages of using a probabilistic model-based approach to monitor for systematic changes in incoming data
2023-11-06 by Scott Yang
Redpoll posts
Introducing The changepoint Library
Online changepoint detection for rust and python
2023-09-28 by Michael T. Schmidt
Introducing Lace: Bayesian tabular data analysis in Rust and Python
A machine learning tool optimized for human learning
2023-09-21 by Baxter Eaves
Improve your data with model-based anomaly detection
Learn how to find outliers, anomalies, and hidden errors to protect you and your customers, and keep data quality high
2022-05-13 by Baxter Eaves
Identifying and visualizing different sources of uncertainty in machine learning
How the Redpoll platform conveys uncertainty information to promote appropriate trust, and to guide efficient data collection
2022-01-26 by Baxter Eaves
Better Synthetic Data with Redpoll Reformer
Complex artificial data creation that maintains meaning
2021-10-13 by Bryan Dannowitz
Tutorial: Infinite Mixture Model in Rust with rv 0.12
Building a supremely useful model in a supremely useful programming language.
2021-05-19 by Baxter Eaves
Epistasis is easy
Nonlinearity can be understood simply... with the right tools
2021-04-29 by Baxter Eaves
Use Case: Anomaly as Diversity in Plant Breeding
Optimizing for genetic distance can cause information loss
2021-04-07 by Michael Schmidt
Escaping the data science death spiral
How today's Machine Learning technology forces us into wasteful processes and how we can escape them
2021-02-09 by Baxter Eaves
Faster and cheaper with stream-native artificial intelligence
2021-02-04 by Baxter Eaves
Use Case: Gamma Ray Detection with the MAGIC Telescope
Hands-on with Reformer
2021-01-06 by Bryan Dannowitz
Components of safe Artificial Intelligence
What artificial intelligence needs — in addition to people — to be safe
2020-09-25 by Baxter Eaves
On Humanistic Artificial Intelligence
Choosing cognition — not the brain — as the basis of Artificial Intelligence design
2020-08-18 by Baxter Eaves
Why we are using plant breeding to test defense AI
Like the battlefield, nature is a complex and unpredictable system that crushes best-laid plans under constant and unprecedented change
2020-04-23 by Baxter Eaves
Redpoll partners with Rutgers and DARPA to build AI that adapts to dynamic worlds
The OTACON project aims to deliver introspective AI
2020-03-10 by Redpoll
Announcing rv 0.8.0
A rust crate for building probabilistic programming tools
2020-01-21 by Baxter Eaves
Explainable AI is not enough.
Explaining black box AI won't prevent problems; it will make them worse.
2019-10-01 by Baxter Eaves
How to design an efficient data collection plan for science and AI
To ensure that our AI predict accurately, we must provide it with the right data.
2019-09-18 by Baxter Eaves
Three ways to get value out of machine learning in scientific research
Mainstream AI has neglected the needs of scientists, but that doesn't mean there is nothing for us to do.
2019-07-31 by Baxter Eaves
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