It started as China vs. the US, but it's become a face-off between two fundamentally different ways of building LLMs. And the ...

For life sciences executives evaluating digital health portfolios, anatomically informed architectures represent a defensible ...

High-throughput technologies are currently flooding life sciences with massive, highly complex multi-omics and biological ...

James McDonagh discusses how AI and machine learning are transforming drug discovery and safety assessment, enhancing ...

Engineering leaders should build highly adaptable, vendor-agnostic infrastructure instead of relying on expensive, ...

Cisco, Box, and Intuit security leaders at VB Transform 2026 detailed how multi-turn attacks expose gaps that single-turn AI ...

Mythos has heightened anxieties across the security industry, as experts warn next-generation AI models will accelerate ...

One of the biggest challenges in cancer research has been linking the "big picture" seen in medical scans with the ...

Dr. Alex Fedoseyev, Director of Research at Ultra Quantum Inc., explores a new paradigm for turbulence modelling known as the ...

Most enterprises are still treating agentic AI as a slightly more advanced version of chatbots and copilots. That is the ...

Context windows are becoming a computational bottleneck. The longer an agent runs, the more tokens accumulate from retrieved documents, reasoning traces and conversation history, and the more memory ...

Abstract: With the continuous growth of urban traffic deat mand, traffic flow prediction faces modeling challenges due to its highly nonlinear spatiotemporal coupling characteristics and the ...