Yale Insights

How Innovations in Understanding Everyday Data Can Power More Effective Aid

For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...
Devdiscourse

Hidden barriers to AI success in healthcare and social care

Data inconsistencies arise when formats, units, or collection practices change over time, undermining model reliability. Poor ...
JD Supra

Awash in Data? FDA Removes a Barrier in Real-World Evidence Generation

On December 15, 2025, the US Food and Drug Administration (FDA) issued a press release announcing that FDA eliminated a major ...
Communications of the ACM

The Impersistence of Memory

“Imagine a computation that produces a new bit of information in every step, based on the bits that it has computed so far. Over t steps of time, it may generate up to t new bits of information in ...
IEEE

Legal Regulation for Personal Information Collection Behavior of Algorithm consumers from the Perspective of Credit Crisis

Abstract: Personal information is the gold in digital economy era and an important resource for operating platforms to make profits. In order to fully seek profits, digital operating platforms collect ...
IEEE

Threats and Defenses in the Federated Learning Life Cycle: A Comprehensive Survey and Challenges

Abstract: Federated learning (FL) offers innovative solutions for privacy-preserving distributed machine learning (ML). Different from centralized data collection algorithms, FL enables participants ...