Ars Technica

Here’s what’s really going on inside an LLM’s neural network

With most computer programs—even complex ones—you can meticulously trace through the code and memory usage to figure out why that program generates any specific behavior or output. That’s generally ...
Forbes

These New Neural Networks Operate At Breakneck Speed

Liquid Neural Networks could help us to achieve the next level of efficiency with AI/ML Many of us can agree that over the past few years AI/ML progress has been, well, rapid. Now, we’re given yet ...
Crypto BriefingOpinion

Connor Leahy: We lack understanding of intelligence and neural networks, the unpredictability of AI could lead to loss of control, and GPT models have revolutioni…

The unpredictability of AI could lead to a future where humans lose control over AI systems. Neural networks differ ...
EurekAlert!

PolyU develops novel AI graph neural network models to unravel interdisciplinary complexities in image recognition and neuroscience

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...
Ars Technica

Researchers isolate memorization from problem-solving in AI neural networks

When engineers build AI language models like GPT-5 from training data, at least two major processing features emerge: memorization (reciting exact text they’ve seen before, like famous quotes or ...
Brown University

Artificial neural network reproduces gait patterns of four-legged animals

In research that could be useful in making more capable robots, Brown University mathematicians developed an artificial ...