TECH NEWS

NASA's Moon Base Update: All's Well Despite the Blue Origin New Glenn Explosion

https://www.cnet.com/a/img/resize/e526a357267eb0e35b3698a987db838eb84dbf12/hub/2026/06/30/6b0c4f64-0e2c-4e06-87fe-5c2fa6c17cb6/intuitive-machines-nova-c.jpg?auto=webp&fit=crop&height=675&w...

The agency also said it was considering repurposing a Mars rover development model for use as a moon rover.

4 min read

NASA formally announced its Moon Base back in March 2026 and has been working on several projects simultaneously to further the objective of putting people on the moon in a more permanent capacity.

On Tuesday, NASA gave reporters some updates about how that plan is coming along during a press conference and Q&A session.

The overall tone was positive as NASA Administrator Jared Isaacman and Moon Base program manager Carlos García-Galán discussed NASA's upcoming plans and fielded questions about whether those plans were affected by recent events, such as the untimely explosion of Blue Origin's New Glenn rocket during a ground test in late May.

The explosion caused a lot of damage to Blue Origin's only launchpad, and there were concerns that it would set back NASA's...

Copyright of this story solely belongs to cnet.com. To see the full text click HERE

Read more

https://d2908q01vomqb2.cloudfront.net/f1f836cb4ea6efb2a0b1b99f41ad8b103eff4b59/2026/06/23/19373.png

HippoRAG: Neurobiologically inspired RAG using Amazon Bedrock, Amazon Neptune, and personalized PageRank | Amazon Web Services

Large language models (LLMs) have transformed how we process and generate information, but they still struggle with effectively integrating knowledge across multiple sources. Standard Retrieval Augmented Generation (RAG) methods, although helpful, often fall short when tackling multi-hop reasoning tasks that require connecting information from separate documents. To address these limitations,
https://d2908q01vomqb2.cloudfront.net/f1f836cb4ea6efb2a0b1b99f41ad8b103eff4b59/2026/07/01/ml-20635.png

Building a serverless A2A gateway for agent discovery, routing, and access control | Amazon Web Services

As enterprises deploy AI agents across teams, vendors, and infrastructure, managing agent-to-agent communication becomes a growing operational burden. Without a centralized layer, each new agent integration adds point-to-point connections, separate credentials, and custom routing logic. Teams spend engineering cycles wiring up connectivity instead of building agent capabilities. Access control becomes