Looped language model training cannot control hidden-state norm growth because RMSNorm normalizes scale away before the loss sees it. A paper posted today on arXiv identifies this readout blind spot, ...

The artist’s new museum, Dataland, is a joyful monument to A.I. Is he a visionary, or Silicon Valley’s court painter?

AI "world models" are the next frontier for computer scientists who see too many limitations in the AI language models behind popular chatbots ...

A new study published in Engineering has combined machine learning (ML) and experimental validation to identify dihydromyricetin (DHM), a natural flavonoid, as a potent inhibitor of the TGF-β/ALK5 ...

Nathan Eddy works as an independent filmmaker and journalist based in Berlin, specializing in architecture, business technology and healthcare IT. He is a graduate of Northwestern University’s Medill ...

Unsupervised learning is a branch of machine learning that focuses on analyzing unlabeled data to uncover hidden patterns, structures, and relationships. Unlike supervised learning, which requires pre ...

The era of size inclusivity is seemingly over. Our critic traces the shift and hopes designers might learn from it. By Vanessa Friedman I know models have always been skinny, but it seems to me they ...

DEEM is a Python library for unsupervised ensemble learning using deep energy-based models. It uniquely discovers latent true labels from diverse, noisy unsupervised sources by disentangling ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

The rapid growth of cloud computing and the Internet of Things (IoT) has increased the exposure of IoT devices to cyber-attacks due to their resource limitations and lack of standardized security ...

One of the most fundamental distinctions in machine learning lies in how models learn from data. At the heart of this divide are two primary approaches: supervised learning and unsupervised learning.