We Found Two Planets Using Artificial Intelligence!

Researchers from NASA and Google have discovered two new exoplanets, Kepler 90i and Kepler 80g, using artificial intelligence. The Kepler Space Telescope uses the transit method to detect planets by observing dips in a star's brightness. Machine learning has improved the detection of smaller planets that were previously missed. In addition, scientists are investigating Mars' water loss, attributing it to spongy rocks like basalt that trapped water in the planet's mantle. This research enhances our understanding of the universe and Mars' geological history.

What method does the Kepler Space Telescope use to detect exoplanets?

• Radial velocity

• Gravitational lensing

• Transit method

• Direct imaging

Why were Kepler 90i and Kepler 80g initially missed by older programs?

• They were moving too fast

• They were too far from their stars

• They were too large to detect

• Their signals were too small

How do neural networks help in discovering new exoplanets?

• By simulating planetary atmospheres

• By predicting star formation

• By detecting patterns in data

• By measuring gravitational waves

What geological feature on Mars is believed to have trapped a significant amount of water?

• Canyons

• Sand dunes

• Basalt rocks

• Ice caps

What is one reason Mars lost much of its water?

• A strong magnetic field

• High atmospheric pressure

• Lack of a strong magnetic field

• Abundant volcanic activity