Calculations show that injecting randomness into a quantum neural network could help it determine properties of quantum ...
Inspired by biological systems, materials scientists have long sought to harness self-assembly to build nanomaterials. The ...
When scientists repeatedly drove a strongly interacting quantum system with laser “kicks,” they expected it to heat up and ...
Biology has always been an unruly science. Cells divide when they want to. Genes switch on and off like temperamental lights.
In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...
One of my favorite corporate values speaks to accountability: “own the outcome.” At its core, it’s not just simply about taking responsibility, but about ensuring we achieve the desired results and ...
The quantum tangent kernel method is a mathematical approach used to understand how fast and how well quantum neural networks can learn. A quantum neural network is a machine learning model that runs ...
In the world of particle physics, where scientists unravel the mysteries of the universe, artificial intelligence (AI) and machine learning (ML) are making waves with how they're increasing ...
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 ...
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