ZME Science on MSN
This New Artificial Muscle Could Let Humanoid Robots Lift 4,000 Times Their Own Weight
This dual cross-linking design lets the muscle switch stiffness on demand. In lab tests, its stiffness jumps from about 213 kilopascals — soft, like rubber — to 292 megapascals, hundreds of times ...
Episode five of the Alleima podcast series unpacks the significance of nitinol in advancing minimally invasive therapies and ...
The Dahlia will debut in Honkai Star Rail version 3.8. Following the release of the patch’s closed beta test, a trustworthy source, Hakush.
Space technology enhances life on Earth through satellite innovations, NASA tech benefits, and space science applications ...
After testing almost 40 contenders, we've picked the best pillow for every kind of sleeper. Our picks include down, memory ...
Last May, an abandoned office floor was transformed into an exhibition that broke down traditional white walls with “Here & Now & Now & Then,” curated by Nilo Ilarde. This October, the same raw space ...
Munsch wrote back to me after I wrote him a letter at age 11. His longstanding connections with readers highlight how the relationships nurtured through story shape identity in enduring ways.
The Canadian author of the prescient 1984 novel ‘The Handmaid’s Tale’ looks back on a prolific career and shares life lessons in ‘Book of Lives.’ ...
Analytical Lenses for a Sri Lankan Perspective Having traced Sri Lanka’s historical trajectory—from pre-modern maritime ...
Opinion
The Hechinger Report on MSNOpinion
OPINION: The new AI tools are fast but can’t replace the judgment, care and cultural knowledge teachers bring to the table
There’s a growing push to use AI to teach faster. These tools are fast, but shallow. They fail to capture the nuance, care and complexity that deep learning demands.
Technology leaders face a pivotal year in 2026, where disruption, innovation and risk are expanding at unprecedented speed.
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