Traditional computational electromagnetics (CEM) methods—such as MoM, FEM, or FDTD—offer high fidelity, but struggle to scale ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...

Next week global experts, industry leaders and policy makers will be in India for the AI Impact Summit at Bharat Mandapam ...

This is where AI-augmented data quality engineering emerges. It shifts data quality from deterministic, Boolean checks to ...

Spire.AI Empollination and CrossKnowledge Capabl partner to deliver contextual learning aligned to evolving enterprise ...

Built by IIT alumni and engineers from Flipkart and Uber, padho.ai has launched an AI-powered learning platform that combines ...

Cybersecurity organizations are facing a widening gap between the speed of modern cyberattacks and the tools designed to prevent them. A new academic review finds that artificial intelligence (AI) is ...

Google also developed its own generative AI model called Gemini, which is capable of writing emails in Gmail, summarizing ...

Microgrids play a growing role in modern power systems, supporting renewable integration, local resilience, and decentralized ...