Engineers have uncovered an unexpected pattern in how neural networks -- the systems leading today's AI revolution -- learn, suggesting an answer to one of the most important unanswered questions in ...
This blog post is the second in our Neural Super Sampling (NSS) series. The post explores why we introduced NSS and explains its architecture, training, and inference components. In August 2025, we ...
Researchers at Skoltech have proposed a new approach to training neural networks for wave propagation in absorbing media. The ...
A Neural Engine, specifically Apple’s Neural Engine (ANE), is a specialized hardware component designed to accelerate machine learning tasks on Apple devices. Introduced with the iPhone X and the A11 ...
In research that could be useful in making more capable robots, Brown University mathematicians developed an artificial ...
Sometimes in the rush to explore our interactions with neural nets (often in the form of LLMs) we forget to think about our own operating system and how it works. Of course, scientists did spend a lot ...
“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...
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