Alex Imas spent years warning AI could collapse labor markets and crater demand. But he's been working on a new theory about ...

A study on visual language models explores how shared semantic frameworks improve image–text understanding across multimodal tasks. By ...

One company, AfterQuery, sells a series of off-the-shelf “worlds” to AI labs, with names such as “Big Tech World”, “Finance ...

Kumo has unveiled KumoRFM-2, a next-generation foundation model designed specifically for structured enterprise data—marking ...

Built on a new architecture KumoRFM-2 achieves state-of-the-art results across 41 predictive tasks and four major benchmarks, ...

AI recommendations depend on relational knowledge, not just content. Here’s why your brand may be missing and how to fix it ...

Although limited by its single-site design in Japan and cross-sectional data, the model offers clinicians a structured framework to evaluate relational needs, recognize dialectical tensions, and ...

Temporal knowledge graph (TKG) forecasting aims to predict future states of the graph by capturing temporal dependencies. Most existing methods utilize graph convolutional networks to capture ...

Washington-based Starcloud launched a satellite with an Nvidia H100 graphics processing unit in early November, sending a chip into outer space that's 100 times more powerful than any GPU compute that ...

AI applications rarely deal with one clean table. They mix user profiles, chat logs, JSON metadata, embeddings, and sometimes spatial data. Most teams answer this with a patchwork of an OLTP database, ...