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 ...

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, ...

This FAQ will look at a lesser-known but commercially available RAM technology called resistive random-access memory (RRAM) or ReRAM.

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 ...

BioRender helps scientists draw biological diagrams more easily and communicate more efficiently. It's used by half a million ...

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

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