Teen's AI Finds 1.5 Million Hidden Cosmic Objects in Old NASA Data
Teen uses AI to find 1.5 million new cosmic objects

In a stunning example of how fresh perspectives and new technology are revolutionising science, a teenager from the United States has made an astronomical discovery that eluded seasoned researchers. Matteo Paz applied artificial intelligence to old data from a retired NASA mission and uncovered a staggering 1.5 million new objects in the cosmos, earning high praise from the space agency's top leadership.

How a Teenager and His AI Rewrote the Cosmic Map

Paz focused his investigation on the vast dataset from NASA's NEOWISE mission, whose infrared telescope had already been decommissioned. This information was chosen precisely because it had been scrutinised for years using conventional methods, with its faint signals considered fully analysed. Paz, however, took a radically different path. He developed his own data analysis AI framework designed to detect subtle patterns in the infrared spectrum that traditional techniques could not separate from the background noise.

Instead of examining individual objects, his machine learning algorithm sifted through nearly 200 billion infrared data points collected over the telescope's operational life, looking for hidden correlations. The result was breathtaking in its speed and scale. Within just six weeks of running his computer simulation, the system identified a multitude of previously hidden cosmic phenomena, including quasars, unknown stars, and potential supernovae. This remarkable work has been formally recognised, with Paz listed as an author on a related paper in The Astronomical Journal.

The Role of Mentorship in Nurturing Breakthrough Talent

Paz's groundbreaking project was initiated through the Planet Finder Academy, an organisation affiliated with the California Institute of Technology (Caltech). There, he worked under the guidance of professional astrophysicist Davy Kirkpatrick. This mentorship was crucial, blending the experience of an established scientist with the innovative thinking of a student. It ensured that the AI's outputs were not just data points but scientifically verified and interpretable discoveries.

This case highlights how structured academic guidance can empower young talent, fostering innovation within established research parameters rather than stifling it. The news of the discovery spread rapidly through the space science community, culminating in a personal response from NASA Director Jared Isaacman.

NASA's Response and a Signal to Future Innovators

Deeply impressed, Director Isaacman publicly acknowledged Paz's achievement. In a gesture that mixed seriousness with inspiration, he invited the teenager to apply for a position at NASA and even offered a fighter jet ride as a personal incentive. While light-hearted, this response underscored the significant weight of the discovery. More importantly, it signals a growing openness within major space institutions to recognise exceptional talent, irrespective of age or formal credentials.

The story of Matteo Paz is more than just a news item; it is a powerful testament to a new era in scientific exploration. It proves that the combination of youthful curiosity, access to cutting-edge tools like AI, and supportive mentorship can unlock secrets of the universe that were once thought to be beyond reach, changing the face of modern astronomy.