How machine learning is optimizing nuclear engines, controlling fusion plasma, and redefining the future of space travel
Sandeep K S
9 hours ago
1 min read
Harnessing AI for Smarter Engine Design and Optimized In-Flight Operations, from refining nuclear engines and fusion control to calculating efficient trajectories and dynamic fuel management, reshaping the future of space travel.
In a landmark discovery published in Nature, astronomers have detected the first definitive coronal mass ejection (CME) from a small, active red dwarf star. Using the LOFAR radio telescope, they observed a powerful Type II radio burst from the M-dwarf StKM-1262—130 light-years away—marking a turning point in our understanding of space weather beyond the Sun.
In a breakthrough published in Physical Review Letters, physicists have demonstrated that black holes satisfy the third law of thermodynamics: as temperature approaches absolute zero, entropy vanishes—implying black holes possess an isolated ground state, a defining feature of quantum systems. The result resolves a long-standing paradox and strengthens the case that gravity is fundamentally quantum.
As humanity races toward the Moon, Mars, and beyond, a quiet revolution is unfolding in spacecraft propulsion—not in the engines themselves, but in the intelligence that designs and controls them. Artificial intelligence, particularly reinforcement learning, is transforming how we develop and operate advanced propulsion systems, from nuclear thermal rockets to compact fusion reactors.
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