Researchers from Manipal University and ISRO have developed an AI model that identifies hidden warning signs of solar eruptions up to nine hours before they occur. This breakthrough could revolutionize space weather forecasting and protect Earth‑bound technologies from solar storms.

  • AI model detects solar flares 9 hours in advance
  • Developed by ISRO and Manipal University researchers
  • Potential to transform international space weather monitoring

Solar flares, sudden bursts of energy on the Sun’s surface, can disrupt radio communications and satellite operations on Earth. Traditional detection methods often lag, making timely mitigation difficult.

Under the leadership of Dr. R. Varman from Manipal University and ISRO’s Solar Science Group, a deep‑learning AI model named SolarPreFlareAI was created. The model analyzes spectral and imaging data to recognize subtle pre‑flare bursts.

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Using data from nine hours before the flare to the actual event, the model achieved a 95% accuracy rate in identifying warning signs. This success has sparked optimism within the scientific community about significantly improving solar activity predictions.

ISRO announced that the technology will be integrated into its solar monitoring missions, enabling timely protective measures at both national and global levels.

Moreover, the AI’s application could foster new collaborations among international space agencies, offering a reliable tool for solar flare forecasting.

Why This Matters

BozokMedia analysis shows that solar storms can severely impact satellite communications, GPS, and power grids. An AI that warns nine hours early provides crucial time to mitigate these risks, benefiting global economies and security.

"This AI model marks a revolutionary step in solar forecasting, giving us the chance to prepare in advance," says Dr. Varman.
Did You Know?: During a solar flare, temperatures on the Sun’s surface can reach up to 10 million degrees Celsius.

Frequently Asked Questions

Q1: How accurate is the AI model in predicting solar flares?
A1: The model achieved 95% accuracy during testing.

Q2: Can this technology be used by other countries’ space programs?
A2: Yes, it is being released as an open‑source solution.