A new technical paper titled “A Case for Hypergraphs to Model and Map SNNs on Neuromorphic Hardware” was published by researchers at Politecnico di Milano. “Executing Spiking Neural Networks (SNNs) on ...

The country’s top internet regulator, the Cyberspace Administration of China (CAC), requires that any company launching an AI tool with “public opinion properties or social mobilization capabilities" ...

Community detection is a common graph workload used in various domains. With the rapid increase in volumes of data, a lot of research has been done on accelerating different community detection ...

ABSTRACT: A new nano-based architectural design of multiple-stream convolutional homeomorphic error-control coding will be conducted, and a corresponding hierarchical implementation of important class ...

Microsoft Corp. today is expanding its Fabric data platform with the addition of native graph database and geospatial mapping capabilities, saying the enhancements enhance Fabric’s capacity to power ...

A new MCP Server for Fabric has also been added to enable developers to connect agents to Fabric’s ecosystem to accelerate tasks, such as creating a data pipeline or notebook. Microsoft is adding two ...

I'm trying to use map_blocks in combintation with to_zarr, but this unfortunately results into very suboptimal dask graphs. The issue as I understand it, when using map_blocks it requires all all data ...

Google’s June 2025 Core Update just finished. What’s notable is that while some say it was a big update, it didn’t feel disruptive, indicating that the changes may have been more subtle than game ...

When you log onto LinkedIn, you're normally presented with suggestions to connect with people you know, either because you went to the same university as them, or worked in the same company or ...

Summary: Populations of dopamine neurons don’t simply signal reward prediction errors—they encode rich maps of possible future outcomes, including when and how much a reward might be. This diverse, ...