An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence ...
Tessellations aren’t just eye-catching patterns—they can be used to crack complex mathematical problems. By repeatedly reflecting shapes to tile a surface, researchers uncovered a method that links ...
A new technical paper titled “Solving sparse finite element problems on neuromorphic hardware” was published by researchers ...
Sandia National Labs today released an update on its neuromorphic computing research. Inspired by the architecture of the ...
For more than a century, scientists have wondered why physical structures like blood vessels, neurons, tree branches, and ...
At first glance, there was nothing out of the ordinary about Saturday’s wind forecast for Camas Prairie, Idaho. “Hold onto ...
Veronika Koren talks about pursuing a theory of neural coding that doesn’t fit a simple narrative, and the resilience it took to see it through.
Artificial Analysis overhauls its AI Intelligence Index, replacing saturated benchmarks with real-world tests measuring ...
Earthquakes happen daily, sometimes with devastating consequences, yet predicting them remains out of reach. What scientists ...
One of the world's biggest mathematicians Joel David Hamkins has slammed AI models used for solving mathematics and called ...
Using words like ‘factors,’ ‘denominators’ and ‘multiples’ may be part of a constellation of good math teaching practices ...
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