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A unified model of memory and perception: How Hebbian learning explains our recall of past ...
A collaboration between SISSA's Physics and Neuroscience groups has taken a step forward in understanding how memories are ...
Simple Machines Made Simple,’ which raised more than seven times its target on Kickstarter, wants to demystify mechanical ...
At the turn of the century, it sounded as if string theory could give us big answers about the universe. Well… has it?
Scientists struggle with the physics of fluids. A recent Google breakthrough could support better predictions and practical ...
New data reveals black hole jets can accelerate at speeds defying all physical laws, leaving astronomers without a clear ...
The same pulling force that causes “tears” in a glass of wine also shapes embryos. It’s another example of how genes exploit ...
When machine learning is used to suggest new potential scientific insights or directions, algorithms sometimes offer solutions that are not physically sound. Subscribe to our newsletter for the latest ...
A collaboration between SISSA's Physics and Neuroscience groups has taken a step forward in understanding how memories are stored and retrieved in the ...
The new model accurately captured these hydrologic behavioral changes. A key strength of the model is that it combines neural networks —AI designed to learn in a way similar to the human brain—with ...
The earliest climate models made specific forecasts about global warming decades before those forecasts could be proved or disproved. And when the observations came in, the models were right. The ...
Observations show the disk of our galaxy is not flat but warped and waving. Astronomers are still working out the reasons why ...
Kellogg Stelle was a professor of physics at Imperial College London for decades until his death last month. In 1977, he developed a particle theory of gravity that’s renormalizable, but the theory’s ...
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