AI is entering its diffusion phase, and the microeconomic pressures driving that transition are operating with unusual speed.

From writing emails to generating computer code, much of the artificial intelligence prevalent in our daily lives has ...

Though large language models remain popular, IT decision-makers are increasingly trying out smaller, open models that may be a better fit for enterprise AI needs.

Cerebras says its wafer-scale chips run Moonshot AI’s trillion-parameter Kimi K2.6 model at record AI inference speeds, ...

Many businesses have been developing SLMs for some time, training them on data so they can provide accurate responses.

HOPPR, a company focused on transforming how AI is developed for medical imaging, today introduced its HOPPR® EB 2D Mammo Narrative Model, a vision-language model designed to translate 2D mammography ...

Researchers say the technique can manipulate how vision-language models interpret both images and user prompts.

Early fears that Anthropic’s new AI model, Mythos, could dramatically turbocharge hacking are looking overstated a month ...

A study on high-concurrency payment systems proposes a distributed architecture with layered consistency control to ...

A vision-language-action model is an end-to-end neural network that takes sensor inputs—camera images, joint positions, ...

True multilingual intelligence requires models that are trained, evaluated and optimized across languages and cultures from ...

SandboxAQ today announced the integration of its Large Quantitative Models (LQMs) with Claude, Anthropic's frontier AI model, making it possible to directly connect a large language model to a large ...