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Using an advanced Monte Carlo method, Caltech researchers found a way to tame the infinite complexity of Feynman diagrams and ...
A clever method from Caltech researchers now makes it possible to unravel complex electron-lattice interactions, potentially transforming how we understand and design quantum and electronic materials.
How Social Media Is Transforming the Future of Language has been abridged for online publication. The book is out on July ...
This study proposes a comprehensive strategy to optimize the operation of real-world gas pipeline networks and support decision-making. The goal is to improve environmental sustainability by ...
New techniques and refinements of older ones are needed to reach <1 K for quantum-computing cooling.
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Interesting Engineering on MSNWorld’s most accurate artificial tongue mimics human taste using graphene and AIA graphene sensor trained by machine learning can now taste like a human, identifying both basic and complex flavors with ...
If you're a dedicated YouTube viewer who enjoys video essays, podcasts, and more highly produced content, Nebula is a great cheaper alternative. However, for general viewers, they might find the ...
I expect that within five years we will all have the option of a smart, always available, personal assistant. A good model would be J.A.R.V.I.S. from the ‘Iron Man’ movie," ...
India's empathy-driven autism care model, from a mother's lap to global recognition, offers a revolutionary solution for the world.
The U.S. military is rushing toward a software-defined future, one where networks are unified, platforms are cloud-connected, and the fight is shaped by ...
High-throughput synapse profiling reveals cell-type-specific spatial configurations in the fly brain
Characterization of intracellular synapse heterogeneity aides to understand the intricate computational logic of neuronal circuits. Despite recent advances in connectomics, the spatial patterns of ...
Nonconvexity is a usually overlooked factor in economic dispatch (ED). Enhancing the nonconvexity of the objective function leads traditional convex optimization algorithms easily to fall into the ...
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