Discover how homomorphic encryption (HE) enhances privacy-preserving model context sharing in AI, ensuring secure data handling and compliance for MCP deployments.

According to the initial results, no model—including Gemini 3 Pro, GPT-5, or Claude 4.5 Opus—managed to crack a 70% accuracy ...

This mobile driver’s licenses webinar introduces new resources to help financial institutions implement support for mDLs.

Digital engineering and modeling and simulation (M&S) are transformative approaches that enable precision, efficiency and ...

Many designs involve multiple engineering domains. For example, hybrid vehicles balance engine performance with emissions limits; UAVs balance thermal limitations on their batteries with ...

Obsessing over model version matters less than workflow.

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...

1. Risk: AI Monoculture (Shared Blind Spots). This is the most critical and overlooked systemic vulnerability. Building your ...

By partnering with artificial intelligence (AI), a researcher at the U.S. Department of Energy's (DOE) Brookhaven National ...

Here is how combining F-RAM and NOR flash memory devices can meet the modern challenges of automotive data logging.

If language is what makes us human, what does it mean now that large language models have gained “metalinguistic” abilities?

Unless you’ve been living on a desert island with no Wi-Fi, you know that in 2025 marketing was dominated by talk of AI. So instead of more predictions about generative or agentic AI, let’s look at ...