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Mit's BoltzGen: How AI is reshaping the hunt for hard-to-treat diseases

By Daniel Reed
November 25, 2025
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Research / AI helps NASA’s Mars rover make smarter discoveries
Research

AI helps NASA’s Mars rover make smarter discoveries

How artificial intelligence is revolutionizing Mars exploration

Daniel Reed
ByDaniel Reed
AI Research, Safety & Ethics Analyst
Daniel Reed currently works as an AI Research, Safety & Ethics Analyst at Aiholics, writing about how changes in artificial intelligence are affecting and will affect...
- AI Research, Safety & Ethics Analyst
Published: July 16, 2024
4 Min Read
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mars perseverance ai artificial intelligence rocks minerals pixl
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NASA’s Perseverance rover is using artificial intelligence (AI) to make groundbreaking discoveries on Mars. This smart technology is helping scientists find important minerals in Martian rocks faster and more efficiently than ever before.

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Key points

  • NASA’s Perseverance rover is using AI to study Martian rocks more efficiently.
  • The PIXL instrument uses “adaptive sampling” to position itself and choose what to study.
  • AI helps the rover make decisions without waiting for instructions from Earth.
  • This technology is a step towards more independent space exploration.
  • As missions go deeper into space, AI will become increasingly important for quick decision-making.

The rover’s PIXL instrument, which stands for Planetary Instrument for X-ray Lithochemistry, is at the heart of this AI revolution. PIXL uses X-rays to study the chemical makeup of rocks on Mars. But what makes it special is its “adaptive sampling” software.

Time-lapse: PIXL engineering model positions against rock during June 2023 JPL test, simulating Mars rover operations. Credit: NASA/JPL-Caltech

This AI software helps PIXL in two important ways. First, it positions the instrument very precisely near a rock target. PIXL sits on six tiny robotic legs that can make super small adjustments, getting it close to the rock without touching it. This is crucial because even tiny temperature changes on Mars can affect the rover’s arm, throwing off PIXL’s aim.

Second, the AI helps PIXL decide which parts of a rock to study more closely. As PIXL scans a small area of a rock, it creates a detailed map of the minerals present. The AI can spot interesting minerals and automatically spend more time studying them. This helps scientists get the most valuable information without wasting time on less important areas.

mars perseverance ai pixlNASA/JPL-Caltech
PIXL instrument visible on Perseverance’s robotic arm. Composite image from rover’s left navcam, March 2, 2021. Credit: NASA

This technology is a big step towards more independent space exploration. In the future, spacecraft might be able to make their own decisions about what to study, freeing up scientists on Earth to focus on analyzing the most important data.

The Perseverance rover isn’t the only one using AI on Mars. NASA’s Curiosity rover, which has been on Mars since 2012, also uses AI to choose which rocks to zap with its laser for chemical analysis.

More Read

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nasa rover mars perseverance pixl
Perseverance rover’s PIXL scan of “Thunderbolt Peak” rock target. Blue dots show X-ray analysis points. NASA/JPL-Caltech/DTU/QUT

As missions travel deeper into space, where communication with Earth takes longer, this kind of AI will become even more important. It allows rovers to make quick decisions and gather crucial data without waiting for instructions from Earth.

The use of AI on Mars is an exciting development in space exploration. It’s helping scientists uncover the secrets of the Red Planet more efficiently than ever before, bringing us closer to understanding Mars’ past and potential for life.

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ByDaniel Reed
AI Research, Safety & Ethics Analyst
Daniel Reed currently works as an AI Research, Safety & Ethics Analyst at Aiholics, writing about how changes in artificial intelligence are affecting and will affect scholarship, society, and human civilization. He reports on breakthroughs in AI research, the development of safety frameworks, discussion of long-term risks, and ethical challenges; he also reports on global shifts in policy and governance. Daniel aims to make complex research papers and long-term thinking accessible to the everyday reader without sacrificing nuance. With his thoughtful and analytical style of writing, Daniel translates advanced topics into clear language. He targets questions that really matter: how safe are today's AI systems, what kind of ethical boundaries do we need, and how could exponential progress affect the way education, jobs, governance, and human values are shaped? His articles are often not just expert opinions but also balanced views and insight into emerging debates that define AI's place in the world. Daniel believes responsible AI development begins with awareness, transparency, and informed public conversation. In terms of his work with Aiholics, he encourages readers to look beyond headlines to understand the promise of artificial intelligence but also some of its consequences.
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