Algorithmic complexity and information theory are foundational disciplines that intersect to elucidate how data is structured, transmitted and computed. At its core, algorithmic complexity seeks to ...

Part 2, Digital Inequality Series: Under what conditions can artificial intelligence benefit all of society vs. just a few people? Kalinda Ukanwa, a quantitative marketing scholar at the University of ...

This study develops an algorithmic framework for incorporating fairness constraints into sequential search problems where inspecting each candidate is costly. The framework generalizes classical ...

While hypothesis testing is a highly formalized activity, hypothesis generation remains largely informal. We propose a procedure that uses machine learning algorithms—and their capacity to notice ...

Forbes contributors publish independent expert analyses and insights. Anjana Susarla is a professor of Responsible AI at the Eli Broad College of Business at Michigan State University. This voice ...

In our current information environment, artificially intelligent, algorithm-driven technologies mediate essentially all information and communication, and they demonstrably influence our ...

In total, 5,708 patients from five randomized phase III trials were included. Two MMAI algorithms were evaluated: (1) the distant metastasis (DM) MMAI model optimized to predict risk of DM, and (2) ...

Artificial Intelligence (AI) has advanced tremendously and today promises personalized healthcare; enhanced national security; improved transportation; and more effective education, to name just a few ...

Source: Walther, AI-generated with Claude / Anthropic, 2026 Algorithms are growing more powerful by the year. What they measure is a ghost of a pattern that once looked like someone statistically ...