The trust placed in AI responses, particularly in enterprise settings, is often disproportionate to the system’s ...

Large language models have become the public face of artificial intelligence, but a growing group of researchers and ...

Crypto exchanges operating in the United Kingdom will be required to collect detailed transaction data from all UK-based ...

Drift in data and concept, evolving edge cases, and emerging phenomena can undermine the correlations that AI classifiers rely on. In this podcast, SEI researchers discuss a new tool to help improve ...

Risk Description: Involves data that poses a reasonable risk and may lead to civil liability. Often tied to contracts or regulatory compliance. Data Types: Individually identifiable, confidential, ...

This process is costly, time-consuming, and has a low success rate. KAIST researchers have developed an AI model that, using only information about the target protein, can design optimal drug ...

Abstract: This standard defines Structure of Management Information version 2 (SMIv2) MIB module specifications for IEEE Std 802.3 Ethernet and associated managed object branch and leaf assignments ...

A team of researchers has invented a new approach to developing language models that can improve the privacy of training data. The researchers, who work at the Allen Institute for Artificial ...

Deborah Elms, trade policy head at the Hinrich Foundation, talks about what's on the table in countries' trade talks with the US – and why the singling out of 'transshipments' in the Vietnam trade ...

Per chair request, I'm raising an issue on PR #2031 (on issue #2025), even though it has not been adopted by the CG. I strongly support the JNodes proposal. But in its current state, I have concerns ...

One of the biggest issues with large language models (LLMs) is working with your own data. They may have been trained on terabytes of text from across the internet, but that only provides them with a ...