Several European research and innovation funders are putting money into fresh forms of artificial intelligence that they hope can leapfrog large language models (LLMs), the systems that underpin ...

Open-weight LLMs can unlock significant strategic advantages, delivering customization and independence in an increasingly AI ...

Dietary assessment has long been a bottleneck in nutrition research and public health. Common tools such as food frequency questionnaires, 24-hour recalls, and weighed food records rely heavily on ...

The world of finance produces vast amounts of data, yet many types – such as text, audio, and image data – have historically been underutilized in financial modeling. Traditionally, stock prices are ...

Enterprises should transition from proprietary Large Language Models (LLMs) and third-party cloud services to private AI infrastructure. This shift ensures data privacy, reduces costs, and maintains ...

Multimodal large language models have shown powerful abilities to understand and reason across text and images, but their ...

In 2025, large language models moved beyond benchmarks to efficiency, reliability, and integration, reshaping how AI is ...

This scoping review identifies the first wave of randomized controlled trials testing large language models in digestive diseases. Four published and ten ongoing trials suggest that AI tools such as ...

By incorporating OpenAI-powered LLM tooling into its research and analytics stack, EMJX aims to strengthen multi-cycle strategy evaluation, dynamic volatility-management modeling, and decision support ...

The original version of this story appeared in Quanta Magazine. Large language models work well because they’re so large. The latest models from OpenAI, Meta, and DeepSeek use hundreds of billions of ...