A recent advance in the science of hydrogen fuel production could enable higher output and more sustainable production of this renewable energy...
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Maroc - TECHXPLORE.COM - RSS news feed - 12/09/2024 21:16
A team of researchers from Texas A&M University, Sandia National Lab—Livermore, and Stanford University are taking lessons from the brain to design materials for more efficient computing. The new class of materials discovered is the first of their kind—mimicking the behavior of an axon by spontaneously propagating an electrical signal as it travels along a transmission line. These findings could be critical to the future of computing and artificial intelligence.
A recent advance in the science of hydrogen fuel production could enable higher output and more sustainable production of this renewable energy...
Researchers at the Vrije Universiteit Brussel (VUB), in collaboration with Stanford University, Antwerp University and Hasselt University, have...
In a study published in Frontiers in Science, scientists from Purdue University and the Georgia Institute of Technology outline practical approaches...
Artificial intelligence and machine learning could become dramatically more efficient, thanks to a new type of computer component developed by...
Artificial intelligence and machine learning could become dramatically more efficient, thanks to a new type of computer component developed by...
When ice melts into water, it happens quickly, with the transition from solid to liquid being immediate. However, very thin materials do not adhere...
Researchers from the University of Vienna have observed what happens when ultra-thin materials melt in unprecedented detail. Their findings not only...
Researchers from the University of Vienna have observed what happens when ultra-thin materials melt in unprecedented detail. Their findings not only...
Santa Ana, CA – Stanford Advanced Materials (SAM), an established provider of high-purity materials for advanced industries, has published...