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Researchers Uncover Hidden Ingredients Behind AI Creativity
Image generators are designed to mimic their training data, so where does their apparent creativity come from? A recent study suggests that it’s an inevitable by-product of their architecture.
How AI Models Are Helping to Understand — and Control — the Brain
Martin Schrimpf is crafting bespoke AI models that can induce control over high-level brain activity.
How Can AI Researchers Save Energy? By Going Backward.
Reversible programs run backward as easily as they run forward, saving energy in theory. After decades of research, they may soon power AI.
Will AI Ever Understand Language Like Humans?
AI may sound like a human, but that doesn’t mean that AI learns like a human. In this episode, Ellie Pavlick explains why understanding how LLMs can process language could unlock deeper insights into both AI and the human mind.
Science, Promise and Peril in the Age of AI
An exploration of how artificial intelligence is changing what it means to do science and math, and what it means to be a scientist.
Where Do Scientists Think This Is All Going?
We asked some of the world’s foremost experts an impossible question. Amazingly, they answered.
What Happens When AI Starts To Ask the Questions?
Technology has forever served as science’s toolbox. But now that AI is being used to develop questions and methods as well, some scientists wonder what their role is going to become.
Why Language Models Are So Hard To Understand
AI researchers are using techniques inspired by neuroscience to study how language models work — and to reveal how perplexing they can be.
How Can AI ID a Cat? An Illustrated Guide.
Neural networks power today’s AI boom. To understand them, all we need is a map, a cat and a few thousand dimensions.