Abstract: We propose to learn the time-varying stochastic computational resource usage of software as a graph-structured Schrödinger bridge problem (SBP). In general, learning the computational ...

ABSTRACT: This study investigates projectile motion under quadratic air drag, focusing on mass-dependent dynamics using the Runge-Kutta (RK4) method implemented in FreeMat. Quadratic drag, predominant ...

Nvidia began shipping its DGX Spark system on 15th October 2025, placing up to 200 billion-parameter AI model capabilities on technology decision-makers’ desks for $3,999. The compact device measures ...

The AI boom is driving an explosive surge in computational demands and reshaping the landscape of technology, infrastructure, and innovation. One of the biggest barriers to widespread AI deployment ...

The cloud SIEM is gaining long-term data lake log storage, AI graph visualization, support for MCP, and a way to interact with custom agents built in Security Copilot, but it’s unclear yet whether ...

What if the programming language you rely on most is on the brink of a transformation? For millions of developers worldwide, Python is not just a tool, it’s a cornerstone of their craft, powering ...

Fifteen years ago, I introduced the zero-trust security model while working as an analyst at Forrester Research. At the time, cybersecurity was still rooted in perimeter-based thinking, built on the ...

I'm compiling part of my model, and the logs instruct me to report an issue. self.decoder = torch.compile(self.decoder, backend='eager') I get these graph breaks ...

Testing the Qwen2.5 VL-3B model using TRTLLM version 0.19.0, following the PyTorch workflow example , running with the use_cuda_graph parameter resulted in only a few generated tokens. Removing the ...

Abstract: Graph visualization techniques provide a foundational framework for offering comprehensive overviews and insights into cloud computing systems, facilitating efficient management and ensuring ...