Assessing the progress of new AI language models can be as challenging as training them. Stanford researchers offer a new approach.

The global market for Generative Engine Optimization (GEO) Services was valued at US$ 886 million in the year 2024 and is projected to reach a revised size of US$ 7318 million by 2031, growing at a ...

Aon plc's tech modernization, AI-driven savings, and growth in cyber risk & ESG drive strong organic growth and margin ...

Here's how AI determines which content gets seen — and why visibility now drives brand performance. The post Why visibility ...

Companies that invest in building a structured, consistent and credible digital footprint position themselves to gain from a ...

Google's new Graph Foundation Model delivers up to 40 times greater precision and has been tested at scale on spam detection.

Supply chains consist of imperfect humans struggling to make perfect decisions. In the end, though, it all comes down to a game of numbers.

Chinese AI startup Moonshot releases open-source Kimi K2 model that outperforms OpenAI and Anthropic on coding tasks with ...

A new AI model learns to "think" longer on hard problems, achieving more robust reasoning and better generalization to novel, unseen tasks.

Understanding the optimization landscape in deep neural networks is essential for evaluating model performance, especially in distributed environments like federated learning (FL). Recent studies ...

Circuit Retrieval and Optimization with Parameter Guidance using LLMs” was published by researchers at Duke University and ...