Graph out-of-distribution (OOD) generalization remains a major challenge in graph neural networks (GNNs). Invariant learning, aiming to extract invariant features across varied distributions, has ...
Strike Graph, the AI-native compliance management platform, today celebrates the growing adoption of Enterprise Workspaces, a new capability that enables organizations to govern compliance across ...
Student gets professional work experience through a co-op in the transportation industry. An interdisciplinary background and ...
Traditional computational electromagnetics (CEM) methods—such as MoM, FEM, or FDTD—offer high fidelity, but struggle to scale ...
Google also developed its own generative AI model called Gemini, which is capable of writing emails in Gmail, summarizing ...
Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...
16hon MSNOpinion
AI’s energy demands are fueling a nuclear comeback
Nuclear energy is trending in the right direction, and it’s thanks to an unlikely suspect that has been blowing up for the ...
Amprius Technologies, Inc. (AMPX) is uniquely positioned to benefit from a rapid paradigm shift towards defense UAS across Western countries, and has a solid position in multiple high-growth ...
Coforge Limited (NSE: COFORGE), a global digital services and solutions provider, today announced expanded new capabilities for Coforge CodeInsightAI, its agentic AI-powered code intelligence and ...
Learn how frameworks like Solid, Svelte, and Angular are using the Signals pattern to deliver reactive state without the ...
For much of the past decade, the telecommunications industry has framed progress in network automation around a singular ...
Enterprise IT systems have reached a point where human-centered operations can no longer keep pace. Microservices, edge computing, and 5G have multiplied dependencies and failure modes, and as a ...
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