#Cosmos

Explore how Azure Cosmos DB powers AI applications, with key architecture trends and real-world insights from Cosmos DB Conf 2026.

Using the James Webb Space Telescope, astronomers have mapped the "cosmic web" of galaxies, the largest structure in the universe, with unprecedented detail.

Using data from NASA's James Webb Space Telescope (JWST), astronomers led by researchers at the University of California, Riverside have produced the most detailed map of the cosmic web ever made, tracing the network of galaxies all the way back to when…

From Independent RSS Feed: ‘Whatever Russia is testing, it’s sophisticated’: Satellites pass within 3 metres of each other

From Space.com: 'Whatever Russia is testing, it's sophisticated': 2 Russian satellites get within 10 feet of each other in orbit

Modern cloud-native systems often fall victim to their own scale. A single misconfigured deployment...

Completed in 2024 in Argentina. Images by Gonzalo Viramonte. Casa Cosmos —a name coined by its owner upon seeing it standing on the land— is located at the foothills of the Punilla Valley, in Capilla del Monte,...

From Dev.to - azure: Serverless Data Processing: Azure CosmoDB, Azure Functions, and Azure Service Bus

From Dev.to - mongodb: How to Process Azure Cosmos DB Change Streams in Parallel with Java (and Stop Leaving Throughput on the Table)

Manufacturing’s traditional design-build-test cycle rested on a single assumption: Real-world testing was the only reliable test environment.

The next generation of AI-driven robots like humanoids and autonomous vehicles depends on high-fidelity, physics-aware training data.

Companies can build AI factories with NVIDIA Vera Rubin-powered A5X instances scaling up to nearly 1 million Rubin GPUs, Gemini on Google Distributed Cloud, confidential NVIDIA Blackwell GPUs and agentic AI built on Gemini Enterprise Agent Platform with…

At Hannover Messe 2026, running April 20-24 in Hannover, Germany, NVIDIA and its partners are demonstrating AI-driven manufacturing in action.

NVIDIA GTC last week showcased a turning point in physical AI: Robots, vehicles and factories are scaling from single use cases and isolated deployments to sophisticated enterprise workloads across industries.