How top growth firms use AI, Nvidia and Apple cross valuation thresholds, OpenAI creates for-profit arm, brain rot infects AI ...

Here's how banks can turn fragmented compliance efforts into a scalable, auditable operating model that delivers faster ...

The massive dataset aims to address what Apple describes as a gap in current AI image editing training. While systems like ...

Mercor CEO Brendan Foody has built a $10 billion empire freeing up valuable data from legacy industries, and making it ...

Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what ...

In this episode of "Uncanny Valley," we discuss the economics and environmental impacts of energy-hungry data centers and ...

The company remains tight-lipped on how it uses customer content to train its own AI model, which can generate layered ...

A modern DataOps strategy should prioritize five core DataOps capabilities: data pipeline orchestration, data pipeline ...

When machine learning is used to suggest new potential scientific insights or directions, algorithms sometimes offer ...

For decades, artificial intelligence has excelled at spotting patterns in data. Machine learning models can predict customer behavior, forecast market trends, or identify medical risks with high ...

Storm surge is the No. 1 cause of deaths and damage during a hurricane, yet detailed storm surge forecasts are difficult to ...

The method, called Verbalized Sampling (VS), helps models like GPT-4, Claude, and Gemini produce more diverse and human-like outputs—without retraining or access to internal parameters. It is ...