Using 19th-century math, a team of engineers revealed what happens inside neural networks they've created. The calculations are familiar.

The researchers found that a formula used in statistical analysis provides a streamlined mathematical description of how neural networks, such as GPT-2, a precursor to ChatGPT, learn relevant ...

A new international study has introduced Curved Neural Networks -- a new type of AI memory architecture inspired by ideas ...

For neural networks and humans alike, one of the difficulties with advanced mathematical expressions is the shorthand they rely on. For example, the expression x 3 is a shorthand way of writing x ...

The new program exploits one of the major advantages of neural networks: They develop their own implicit rules. As a result, “there’s no separation between the rules and the exceptions,” said Jay ...

Deep neural networks are at the heart of artificial intelligence, ranging from pattern recognition to large language and ...

“ORNL is leading the AI frontier in science,” Potok concluded. “We are using AI to simulate, predict and accelerate ...

Mathematical neural network theory explains how memories are consolidated in the brain. Download PDF Copy; Reviewed. Reviewed by Lily Ramsey, LLM Jul 20 2023.

Unlike traditional neural networks, which require extensive training across multiple network layers, RC only trains the readout layer, typically through a simple linear regression process.

Our peer-reviewed reports present the evidence-based consensus of committees of experts. Published proceedings record the presentations and discussions that take place at hundreds of conferences, ...

Neural networks have been powering breakthroughs in artificial intelligence, including the large language models that are now being used in a wide range of applications, from finance, to human ...