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Pitfalls to Avoid when Interpreting Machine Learning Models

Pitfalls to Avoid when Interpreting Machine Learning Models

Modern requirements for machine learning models include both high predictive performance and model interpretability. A team of experts in explainable AI highlights pitfalls to avoid when addressing model interpretation, and discusses open issues for further research. Images created by Cristoph Molnar:

August 20, 2020 by

The coolest thing you didn't see at CES 2020

The coolest thing you didn't see at CES 2020

A stunning 8k, 3D display. And no glasses, thankfully, unlike the failed 3D TVs. Why didn't you see it? It wasn't on the show floor. But I did, high up in the Venetian, and I'm wondering why Apple doesn't buy these guys. Here's some, sorry, not 8K video of the display.

January 30, 2020 by

Humans in space: The ethical and policy risks explained

Tonya Hall sits down with Dr. Robert Zubrin, author, president of Pioneer Astronautics, and co-founder and president of the Mars Society, to talk about how humans can benefit from the space industry while considering various ethical and policy risks that are associated with space.

September 16, 2020 by

Turning space missions into board games

Dr. Dante Lauretta, professor at the University of Arizona, tells Tonya Hall about how real space missions are being turned into STEM board games to help bridge the learning gap created during the COVID-19 pandemic.

September 11, 2020 by

Lenovo M57e

Lenovo M57e

The Lenovo M57 eco is a small form-factor desktop that is promoted by the company as energy efficient. We found it to be a capable and powerful office performer for its size, but with limited upgrade options.

May 27, 2008 by