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NASA‘s Curiosity rover, currently exploring Gale Crater on Mars, has revealed critical insights into the planet’s ancient climate. The research uncovers how Mars transformed from a potentially habitable environment, abundant in liquid water, to the cold, arid landscape we see today. An artist’s concept illustrates early Mars, where liquid water may have existed in river and lake formations. Geological evidence suggests that ancient Mars had a denser atmosphere capable of supporting significant bodies of water. However, as the planet cooled and lost its global magnetic field, solar winds eroded much of its atmosphere, leading to the inhospitable conditions present now.

Findings from the Curiosity Rover

Curiosity has measured the isotopic composition of carbon-rich minerals (carbonates) found in Gale Crater. David Burtt from NASA’s Goddard Space Flight Center stated, “The isotope values of these carbonates point toward extreme amounts of evaporation, suggesting they likely formed in a climate that could only support transient liquid water.” This indicates that while the surface environment was not suitable for life, underground habitats may still exist.

The Role of Isotopes in Understanding Mars

Isotopes, which are variants of elements differing in mass, play a vital role in understanding Mars’ climatic history. During evaporation, lighter carbon and oxygen isotopes escape into the atmosphere, leaving behind heavier ones in carbonate rocks, which serve as climate records.

Conclusion: Implications for Habitability

The study proposes two mechanisms for carbonate formation: through cycles of wet and dry conditions or in extremely salty water under icy conditions. Co-author Jennifer Stern noted that these scenarios indicate varying levels of habitability on ancient Mars. These findings, supported by isotopic evidence from Curiosity’s instruments, contribute to our understanding of Mars’ climate evolution and its potential to have supported life in the past.

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AI Model Learns to Predict Human Gait for Smarter, Pre-Trained Exoskeleton Control

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Scientists at Georgia Tech have created an AI technique that pre-trains exoskeleton controllers using existing human motion datasets, removing the need for lengthy lab-based retraining. The system predicts joint behavior and assistance needs, enabling controllers that work as well as hand-tuned versions. This advance accelerates prototype development and could improve…

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Scientists Build One of the Most Detailed Digital Simulations of the Mouse Cortex Using Japan’s Fugaku Supercomputer

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Researchers from the Allen Institute and Japan’s University of Electro-Communications have built one of the most detailed mouse cortex simulations ever created. Using Japan’s Fugaku supercomputer, the team modeled around 10 million neurons and 26 billion synapses, recreating realistic structure and activity. The virtual cortex offers a new platform for studying br…

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UC San Diego Engineers Create Wearable Patch That Controls Robots Even in Chaotic Motion

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UC San Diego engineers have developed a soft, AI-enabled wearable patch that can interpret gestures with high accuracy even during vigorous or chaotic movement. The armband uses stretchable sensors, a custom deep-learning model, and on-chip processing to clean motion signals in real time. This breakthrough could enable intuitive robot control for rehabilitation, indus…

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