All mainstream credit card numbers obey a mathematical trick designed to catch the most common typos. It’s called the Luhn ...

SPYI's extra yield comes at the cost of holding both equity risk and limited price appreciation, making it unattractive for ...

Algorithms mirror flaws and fuel mistrust. Surveillance erodes privacy. Mindful choices, collective action—laws, literacy—can ...

AI model training requires non-technical majors. College grads have a new career path open in AI model training ...

Let's be honest about why we don't track outcomes: It's hard, and many people benefit from keeping things opaque. ABDM and ABHA are creating digital health IDs. Great start. But a health ID without ...

Large language models show dangerous favoritism toward AI-generated content. What does this means for human agency.

One key theme of organizations that are pivoting to “AI-first” structures is a kind of “flattening” of company structure, which essentially means fewer layers of management oversight, the removal of ...

SEO at scale requires more than local know-how. Here’s how to structure global teams, processes, and tools for consistent ...

Build smarter PPC campaigns by structuring around business units, not just search terms. Here's a guide for new and existing ...

Learn to expose AI bias through systematic questioning. Here's the four-step process anyone can use to interrogate algorithmic authority.

MIT researchers designed a computationally efficient algorithm for machine learning with symmetric data that also requires fewer data for training than conventional approaches. Their work could inform ...