The effectiveness of any AI system hinges on the quality of the data it learns from. Outdated, incomplete, or poorly structured data can undermine even the most sophisticated AI models. Data: ...

Representatives of four medical research centres have told Nature they have waived normal ethical review because 'synthetic' ...

Cadence Design Systems, Inc. CDNS has announced a major expansion of its Cadence Reality Digital Twin Platform with the ...

There are also consumer-facing products for tweaking videos with AI. If your face doesn’t look right, for example, you can ...

Today, email-based attacks are increasingly sophisticated, however artificial intelligence (AI) can offer vital defense. With ...

The Zettelkasten method is a knowledge management system developed by German sociologist Niklas Luhmann, who used it to produce over 70 books and hundreds of articles. It consists of three core ...

The LLM4TR framework proposed in this survey. A curated collection of papers, datasets, and resources related to Large Language Models for Transportation (LLM4TR). This repository serves as the online ...

Machine learning models use contextual data built on a strong foundation of decades worth of weather records, enabling them to provide more accurate and more consistent predictions over time.

What do data integrity, tariffs, inflation and debt add up to?

The Democratic Party is bleeding registered voters, suffering a 4.5 million-name loss that could take years to recover from, according to a new report. Between the 2020 and 2024 presidential elections ...

Predictive maintenance involves proactive monitoring and prediction of equipment failures to optimize maintenance schedules to minimize downtime, reduce losses, and ensure optimal equipment ...