It takes a lot of energy for machines to learn – here's why AI is so power-hungry

Training neural networks burns through a lot of energy. As the AI field grows, it's working to keep its carbon foot print from growing with it.

Kate Saenko, Associate Professor of Computer Science, Boston University • conversation
Dec. 14, 2020 ~8 min

What is a neural network? A computer scientist explains

Neural networks today do everything from cameras to translations. A professor of computer science provides a basic explanation of how neural networks work.

Tam Nguyen, Assistant Professor, University of Dayton • conversation
Dec. 11, 2020 ~6 min

How brains do what they do is more complex than what anatomy on its own suggests

A bioengineer explains how a clearer picture of brain structure and function may fine-tune the ways brain surgery attempts to correct structure and medication tries to correct function.

Salvatore Domenic Morgera, Professor of Electrical Engineering and Bioengineering, Tau Beta Pi Eminent Engineer, University of South Florida • conversation
July 16, 2020 ~11 min

How technology can combat the rising tide of fake science

The internet has allowed pseudoscience to flourish. Artificial intelligence could help steer people away from the bad information.

Chris Impey, University Distinguished Professor of Astronomy, University of Arizona • conversation
March 9, 2020 ~8 min

Harvard study: Artificial neural networks could be used to provide insight into biological systems

Martin Haesemeyer set out to build an artificial neural network that worked differently than fish’s brains, but what he got was a system that almost perfectly mimicked the zebrafish — and that could be a powerful tool for understanding biology.

Peter Reuell • harvard
Aug. 27, 2019 ~6 min

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