Ravi Teja Thutari's patented "Event-Driven Distributed Data Mesh" framework enables real-time signal processing by moving intelligence closer to data sources.

Artificial intelligence (AI) is no longer confined to centralized data centers. It is increasingly distributed across edge devices, enterprises, multiple cloud providers, and autonomous software ...

The global Data Center Market is experiencing strong growth as organizations expand digital infrastructure to support artificial intelligence workloads, cloud computing platforms, ...

At the GTC conference this week, Nvidia shared its plans to bring AI and accelerated computing to space, joining a slew of ...

Integrating AI into chip workflows is pushing companies to overhaul their data management strategies, shifting from passive storage to active, structured, and machine-readable systems. As training and ...

Modern military operations generate massive volumes of RF and sensor data. Surveillance aircraft for example collect continuous RF emissions from radars, datalinks, and jammers, while naval vessels ...

To scale AIoT data management, organizations must transition from fragmented pipelines to governed data orchestration, leveraging platforms like IoT83's Flex83 to unify industrial and enterprise ...

Know how multiple nodes collect and verify the same data in Decentralized Oracle Networks (DONs). Learn about off-chain ...

Basecamp Research’s new trillion-gene project highlights a key divide: while AI training data is increasingly contested, ...

The global distributed acoustic sensing market is growing steadily, expected to be valued at around US$ 2.8 billion in 2026 and projected ...

Robot dogs are entering data centers to boost security and monitoring. Here’s why companies are investing up to $300K in ...

Agriculture is drowning in data it can barely use. A new class of AI wants to fix that. Agricultural data is “fragmented, distributed, heterogeneous, and incompatible.” That’s the verdict from a major ...