In a paper published in Proceedings of the National Academy of Sciences, researchers from Technion and Tel Aviv University ...

A new study combines Large Language Models and behavioral mathematics to analyze human decision-making text data at scale.

Researchers introduce CASPER, proving AI story tools strip away mystery and rely on overly predictable characters.

Learn essential Nmap commands for network scanning, port discovery, and OS detection. Complete guide with examples and a ...

"We found that many of today's most successful AI methods boil down to a single, simple idea -- compress multiple kinds of data just enough to keep the pieces that truly predict what you need," says ...

The ESC-50 dataset is a labeled collection of 2000 environmental audio recordings suitable for benchmarking methods of environmental sound classification. The dataset consists of 5-second-long ...

Abstract: Machine learning (ML)-based detection of diseases using sequence-based gut microbiome data has been of great interest within the artificial intelligence in medicine (AIM) community. The ...

DLPy is a high-level Python library for the SAS Deep learning features available in SAS Viya. DLPy is designed to provide an efficient way to apply deep learning methods to image, text, and audio data ...

In November 2023, the self-driving car company Cruise admitted that its “driverless” robotaxis were monitored and controlled (as needed) by remote workers. Cruise CEO Kyle Vogt took to Hacker News, a ...

Abstract: The broad learning system (BLS) is a versatile and effective tool for analyzing tabular data. However, the rapid expansion of big data has resulted in an overwhelming amount of tabular data, ...