A metropolis arose in medieval Cambodia – new research shows how many people lived in the Angkor Empire over time

Combining archaeological evidence, aerial scans and machine learning algorithms, researchers modeled how this medieval city grew over time.

Alison Kyra Carter, Assistant Professor of Anthropology, University of Oregon • conversation
May 7, 2021 ~11 min

Dead Sea Scrolls: two scribes probably wrote one of the manuscripts

The researchers used machine learning to study the 2,000-year-old document.

Peter Phillips, Research Fellow in Digital Theology, Director of CODEC Research Centre, Durham University • conversation
April 21, 2021 ~6 min

Embrace the unexpected: To teach AI how to handle new situations, change the rules of the game

Humans often stumble when they encounter the unexpected, but they tend to adapt and move on. Artificial intelligence systems, not so much.

Mayank Kejriwal, Research Assistant Professor of Computer Science, University of Southern California • conversation
April 7, 2021 ~9 min

AI is killing choice and chance – which means changing what it means to be human

By letting machines recommend movies and decide whom to hire, humans are losing their unpredictable nature – and possibly the ability to make everyday judgments, as well.

Dan Feldman, Senior Research Fellow, Applied Ethics Center, University of Massachusetts Boston • conversation
Feb. 24, 2021 ~7 min

How explainable artificial intelligence can help humans innovate

AI algorithms can solve hard problems and learn incredible tasks, but they can't explain how they do these things. If researchers can build explainable AI, it could lead to a flood of new knowledge.

Forest Agostinelli, Assistant Professor of Computer Science, University of South Carolina • conversation
Jan. 13, 2021 ~7 min

Thousands of ocean fishing boats could be using forced labor – we used AI and satellite data to find them

Forced labor is a widespread problem in fisheries on the high seas. Between 2012 and 2018, an estimated 100,000 people may have been victims of forced labor on thousands of different boats.

Gavin McDonald, Senior Project Researcher, University of California Santa Barbara • conversation
Dec. 21, 2020 ~8 min

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

An AI tool can distinguish between a conspiracy theory and a true conspiracy – it comes down to how easily the story falls apart

Computational methods could help identify conspiracy theories as they emerge.

Timothy R. Tangherlini, Professor of Danish Literature and Culture, University of California, Berkeley • conversation
Nov. 13, 2020 ~10 min

What is an algorithm? How computers know what to do with data

A close look at how you decide what clothes to put on in the morning can help you understand how computers work.

Jory Denny, Assistant Professor of Computer Science, University of Richmond • conversation
Oct. 16, 2020 ~5 min

A-level results: why algorithms get things so wrong – and what we can do to fix them

Problems in the underlying data mean we can't leave algorithms to decide things on their own.

Jostein Engesmo, Associate Professor, Department of Computer Science, Norwegian University of Science and Technology • conversation
Aug. 19, 2020 ~7 min