A database left accessible to anyone online contained billions of records, including sensitive personal data that criminals ...

As AI demand outpaces the availability of high-quality training data, synthetic data offers a path forward. We unpack how synthetic datasets help teams overcome data scarcity to build production-ready ...

AI agents can't recommend what they can't understand. Your product data structure determines whether agents see you as a viable option or skip you entirely.

If your prompts influence policy, finance or patient care but live in chat threads, you don’t have innovation — you have unmanaged risk.

Your trading bot crashes at 3 AM because the forex feed went silent. Real-time currency data really shouldn't mean spe ...

From the Department of Bizarre Anomalies: Microsoft has suppressed an unexplained anomaly on its network that was routing traffic destined to example.com—a domain reserved for testing purposes—to a ...

JsonContributionGraph/ ├── generate.py # HTML generation script ├── requirements.txt # Python dependencies ├── .env # Configuration (create from .env.example) ├── .env.example # Configuration example ...

JSON Prompting is a technique for structuring instructions to AI models using the JavaScript Object Notation (JSON) format, making prompts clear, explicit, and machine-readable. Unlike traditional ...

Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...

A massive data breach by a company named National Public Data could have made billions of personal financial records vulnerable. Many Americans are wondering if they've been personally affected and ...