Redpoll posts

Plover Found 9 Errors in the UC Irvine AI4I Predictive Maintenance Dataset

Finding errors in the code behind the synthetic data

2024-11-20 by Baxter Eaves

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

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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