New lithium-plasma engine passes key Mars propulsion test

You’re on the fourth human mission to Mars, and you’re told the Odyssey spacecraft designed to take you there will be the smoothest ride you’ll ever take. It features a newly christened electric propulsion engine which was in the late stages of testing during the first three missions. The mission starts and the spacecraft travels at a crawl, and you wonder if it’s broken. A week goes by and you’re now traveling at more than 400,000 kilometers (250,000 miles) per hour, and your mind is blown as to how fast you’re going, how quickly that happened, and that this mission might be more awesome than you thought.

This scenario is quite possibly a decade away, at minimum, but that’s not stopping the bright minds at NASA from building and testing next-generation propulsion systems designed ...

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Battery-free skin-conformal wearable system can measure electrocardiogram signals

SNU researchers develop battery-free skin-conformal wearable system
Concept of body-coupled wireless power delivery for battery-free wearables. Credit: Science Advances

A research team led by Prof. Jerald Yoo from the Department of Electrical and Computer Engineering at Seoul National University (SNU) has developed a skin-conformal wearable health care system, “SkinECG,” capable of measuring electrocardiogram (ECG) signals without a battery. By combining energy harvesting with human body–coupled power transfer, the study presents a new solution to one of the most critical challenges in wearable devices: power supply.

The findings are published in Science Advances.

Wearable health care systems are emerging as next-generation medical technologies that enable real-time monitoring of physiological signals through body-worn sensors, allowing early ...

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How everyday devices could train AI faster while keeping personal data on-device

Irene Tenison, Lalana Kagal and Anna Murphy at desk with laptops
Caption:Irene Tenison, Lalana Kagal and Anna Murphy of the Decentralized Information Group (DIG) developed a new method that could bring more accurate and efficient AI models to high-stakes applications like health care and finance.
Credits:Credit: Adam Glanzman

A new method developed by MIT researchers can accelerate a privacy-preserving artificial intelligence training method by about 81%. This advance could enable a wider array of resource-constrained edge devices, like sensors and smartwatches, to deploy more accurate AI models while keeping user data secure.

The MIT researchers boosted the efficiency of a technique known as federated learning, which involves a network of connected devices that work together to train a shared AI model.

In federated learning, the model is broad...

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Designing in situ power stations for future Mars missions

Diagram depicting how the Martian atmosphere could be used for power generation on future human missions to Mars. (Credit: Yang et al. (2026))
Diagram depicting how the Martian atmosphere could be used for power generation on future human missions to Mars. (Credit: Yang et al. (2026))

You’re in the lab analyzing Martian regolith samples within your cozy Mars habitat serving on the fifth human mission to Mars. The power within the habitat has been flowing flawlessly thanks to the MARS-MES (Mars Atmospheric Resource & Multimodal Energy System), including the general habitat lighting, science lab, sleeping quarters, exercise equipment, the virtual reality headsets the crew use for rest & relaxation, oxygen and fuel generation, and water. All this from converting the Martian atmosphere into workable electricity.

While this scenario might be decades away, scientists on Earth are working hard to make this concept a reality today...

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