Fleeting fireflies illuminate Colorado summer nights − and researchers are watching

New research uses firefly flashing patterns to identify species and what they’re communicating.

Owen Martin, Ph.D. Candidate in Computer Science, University of Colorado Boulder • conversation
May 1, 2025 ~8 min

To understand the future of AI, take a look at the failings of Google Translate

Nearly 20 years after it was launched, machine translation is still a long way from replacing translators.

Adam Lopez, Reader in Informatics, University of Edinburgh • conversation
March 10, 2025 ~8 min


Japanese scientists were pioneers of AI, yet they’re being written out of its history

How can including them change our understanding of AI?

Hansun Hsiung, Assistant Professor, School of Modern Languages and Cultures, Durham University • conversation
Nov. 27, 2024 ~8 min

AI was central to two of 2024’s Nobel prize categories. It’s a sign of things to come

AI will feature in future Nobel prizes as scientists exploit the power of this technology for research.

Nello Cristianini, Professor of Artificial Intelligence, University of Bath • conversation
Oct. 10, 2024 ~5 min

How a subfield of physics led to breakthroughs in AI – and from there to this year’s Nobel Prize

Two researchers whose work has led to the AI revolution won the 2024 Nobel Prize in physics. A materials physicist explains statistical mechanics, the physics field behind their discoveries.

Veera Sundararaghavan, Professor of Aerospace Engineering, University of Michigan • conversation
Oct. 9, 2024 ~8 min

Nobel Prize in physics spotlights key breakthroughs in AI revolution − making machines that learn

The Nobel Prize shows that the field of artificial neural networks – and the deep learning AI revolution the technology unleashed – owe as much to physics as biology and computer science.

Ambuj Tewari, Professor of Statistics, University of Michigan • conversation
Oct. 8, 2024 ~8 min

We’ve been here before: AI promised humanlike machines – in 1958

Enthusiasm for the capabilities of artificial intelligence – and claims for the approach of humanlike prowess –has followed a boom-and-bust cycle since the middle of the 20th century.

Danielle Williams, Postdoctoral Fellow in Philosophy of Science, Arts & Sciences at Washington University in St. Louis • conversation
Feb. 29, 2024 ~8 min

AI has a large and growing carbon footprint, but there are potential solutions on the horizon

Technological approaches could help reduce the carbon impact of artificial intelligence systems.

Shirin Dora, Lecturer, Computer Science, Loughborough University • conversation
Feb. 16, 2024 ~8 min


Why humans can't trust AI: You don't know how it works, what it's going to do or whether it'll serve your interests

People can trust each other because they understand how the human mind works, can predict people’s behavior, and assume that most people have a moral sense. None of these things are true of AI.

Mark Bailey, Faculty Member and Chair, Cyber Intelligence and Data Science, National Intelligence University • conversation
Sept. 13, 2023 ~8 min

Biting flies are attracted to blue traps – we used AI to work out why

New research on what attracts blood-feasting flies to blue objects could help minimise the impacts of those insects on people and animals.

Roger Santer, Lecturer in Zoology, Aberystwyth University • conversation
July 4, 2023 ~6 min

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