We present one of the first comprehensive evaluations of predictive information derived from retinal fundus photographs, illustrating the potential and limitations of readily accessible and low-cost ...

The digital economy is increasingly driven by intelligent systems that process enormous volumes of behavioral information. Platforms across entertainment, finance, and iGaming rely on machine learning ...

Modern enterprise data platforms operate at a petabyte scale, ingest fully unstructured sources, and evolve constantly. In such environments, rule-based data quality systems fail to keep pace. They ...

In these politically divisive times, there’s one thing we all agree on—we don’t want a giant data center in our backyard. Behold, the hyperscale data center! Massive structures, with thousands of ...

When a developer approached Saline Township, Michigan, with a proposal to turn 250 acres of farmland into a data center, the town board said no, citing opposition from residents. Then came the lawsuit ...

A newly enacted New York law requires retailers to say whether your data influences the price of basic goods like a dozen eggs or toilet paper, but not how. If you’re near Rochester, New York, the ...

This repository contains the implementation of topological data analysis (TDA) methods for detecting adversarial examples in deep learning models, particularly focusing on Vision-Language models like ...

Electricity prices are surging, voters are growing angry, and the artificial intelligence industry's data centers are increasingly a target for blame with U.S. mid-term elections on the horizon.

Tariffs and uncertainty were already making the economy hard to read. The loss of government data during the shutdown has made the situation much worse. By Ben Casselman and Colby Smith Tariffs are at ...

Your inbox could contain real money—or a trap. I made two fake settlement claim sites in five minutes, and I'm here to tell you how to tell a legit settlement notice site from a data-stealing fake. I ...

Abstract: Code vulnerability detection (CVD) is a critical approach to ensuring the security, stability, and reliability of software. When exploited by malicious actors or hackers, code ...