When machine learning is used to suggest new potential scientific insights or directions, algorithms sometimes offer ...
Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what ...
The original version of this story appeared in Quanta Magazine. When she was 10 years old, Rose Yu got a birthday present that would change her life—and, potentially, the way we study physics. Her ...
Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...
For decades, simulation has been the cornerstone of scientific discovery and hardware design. But despite the advances we’ve made in computing power and tooling, the way we run simulations hasn’t ...
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Physics-based models combined with big data could lead to systematically better hypotheses
Finding a reasonable hypothesis can pose a challenge when there are thousands of possibilities. This is why Dr. Joseph ...
Schrödinger CEO Ramy Farid wants you to know that his company isn’t an AI company…but he’ll call it that if you want to. The company, founded in 1990, started out by making software that used the ...
AI labs like OpenAI claim that their so-called “reasoning” AI models, which can “think” through problems step by step, are more capable than their non-reasoning counterparts in specific domains, such ...
"Hearst Magazines and Yahoo may earn commission or revenue on some items through these links." Here’s what you’ll learn when you read this story: Although CERN’s Large Hadron Collider has made a ...
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