NASA’s Groundbreaking Use of GPS on the Moon: A New Era in Space Navigation

by News Editor

March 6, 2025

The realm of space exploration has witnessed an unprecedented achievement as NASA successfully implemented GPS signals on the Moon. This historic feat marks the first time that this technology has been utilized beyond Earth, paving the way for revolutionary developments in lunar and deep-space navigation. The potential for enhanced precision in space travel missions promises to redefine our journey into the cosmos.

Groundbreaking Advances With LuGRE

On March 3, NASA, in collaboration with the Italian Space Agency, achieved a significant success with the Lunar GNSS Receiver Experiment (LuGRE). This initiative proved the ability to harness GNSS signals on the moon’s surface, providing essential data that could be transformative for future lunar missions. Such advancements signal a new era for the upcoming Artemis missions, known for aiming to establish a sustainable presence on the Moon.

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The Power Of GNSS Signals

Global Navigation Satellite System (GNSS) signals, including those from GPS, Galileo, BeiDou, and GLONASS, relay critical information for positioning, navigation, and timing. Their application on the Moon could significantly enhance mission accuracy and safety, similar to their Earthly applications in sectors such as aviation and road transport.

LuGRE’s Record-Setting Journey

Before touching down on the Moon, LuGRE set new benchmarks by recording the highest altitude GNSS signal capture at approximately 210,000 miles from Earth. This breakthrough demonstrates the potential for GNSS applications in the expansive cislunar space. As NASA continues to explore the capabilities of GNSS technology, we are poised to witness further pioneering developments in space travel – developments that could lead to safer and more accurate explorations of our solar system.

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Mirendil Signs $100 Million Google Cloud Deal To Advance Self-Improving AI

by News Editor

August 6, 2026

AI startup Mirendil has signed a multi-year agreement worth more than $100 million with Google Cloud to secure computing infrastructure for its self-improving AI research.

The partnership reflects growing competition among AI companies to lock in access to high-performance computing, while cloud providers race to attract promising startups developing next-generation AI models.

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Backing The Next Stage Of AI Research

Mirendil plans to use Google’s Tensor Processing Units (TPUs), Nvidia GPUs and managed training infrastructure to develop AI systems capable of improving their own performance over time.

Known as recursive self-improvement, the concept focuses on building AI that can refine its knowledge and capabilities with minimal human intervention. The technology is attracting growing interest across the industry, with several startups and leading AI labs exploring similar approaches.

According to co-founder and Chief Executive Behnam Neyshabur, the long-term goal is to develop AI that can automate scientific research and accelerate discoveries in fields such as medicine, biology and materials science.

Compute Capacity Becomes A Strategic Asset

Training increasingly advanced AI models requires enormous computing resources, making long-term infrastructure agreements a critical competitive advantage.

Mirendil said Google’s combination of TPUs and GPUs allows workloads to be matched with the most suitable hardware, improving efficiency while reducing costs for customers.

For Google Cloud, the agreement strengthens its position in the race to provide infrastructure for frontier AI developers, while giving the company exposure to one of the industry’s emerging approaches to next-generation artificial intelligence.

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