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 ...

Heterogeneous graphs organize data with nodes and edges, and have been widely used in various graph-centric applications.

As AI workloads move from centralized cloud infrastructure to distributed edge devices, design priorities have fundamentally ...

Maybe in Norway but probably not in the U.S., expert says ...

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

Saumya Tyagi discusses modernising NoSQL control planes for global scale, reducing update times by 500x and improving ...

The company claims that thanks to software optimisation and hardware asset management, it can make datacentre kit last six years ...

New network operations platform capability pairs agentic AI operations with network digital twin to enable NetOps and SecOps teams to ask complex questions, understand network behaviour and validate ...

As the global semiconductor industry pushes forward with advanced processes, heterogeneous integration, and cutting-edge ...

Taiwan's government is moving its quantum technology development program into a second phase, centered on building a national-level heterogeneous hybrid computing platform that integrates ...

Geniatech expands its Edge AI portfolio with DEEPX-powered AI acceleration, introducing M.2 AI accelerator modules and ...

Synopsys operates as a tax collector for the semiconductor industry, commanding dominant positions in Silicon Design and IP ...