New vehicle theft data from 2025 shows a clear pattern: the cars stolen most often were either extremely common on American ...

Financial services data leaders face a fundamental paradox: they have unprecedented access to data assets, yet they continue ...

The new AI chips are packaged inside the new Nvidia Rubin Platform. The new line of open models includes a model for ...

From security to performance and everything in between, we debunk common Mac myths, revealing the truth about software ...

AI that once needed expensive data center GPUs can run on common devices. A system can speed up processing, and makes AI more ...

In 2025, large language models moved beyond benchmarks to efficiency, reliability, and integration, reshaping how AI is ...

While the shortest distance between two points is a straight line, a straight-line attack on a large language model isn't always the most efficient — and least noisy — way to get the LLM to do bad ...

In 2025, misconceptions about AI flourished as people struggled to make sense of the rapid development and adoption of the ...

As artificial intelligence researchers exhaust the supply of real data on the web and in digitized archives, they are ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

The DMTA cycle depends on clear data flow, yet most labs still work across disconnected systems. Sean McGee, Director of ...

Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common labeling errors in ...