A massive study tracking 879 million emotional data points from depersonalized passersby reveals surprising connections between human emotions and real estate values. The findings could transform how we evaluate property investments and design urban spaces.
As AI becomes ubiquitous, new research shows people still overwhelmingly prefer human judgment for high-stakes decisions. The data reveals a surprising behavioral gap that creates new opportunities for authentic engagement.
Researchers have identified a remarkable protein in mussels that changes its molecular structure when mechanically stressed. This discovery could lead to revolutionary self-adapting materials and advanced biomedical interfaces.
Scientists have developed a revolutionary transferable neural wavefunction approach that dramatically reduces computational requirements for simulating quantum materials. The new method reportedly achieves superior accuracy while using just a fraction of the computational resources previously needed, potentially accelerating materials discovery across multiple industries.
Researchers have developed a groundbreaking transferable neural wavefunction method that reportedly achieves unprecedented computational efficiency in simulating quantum materials, according to recent findings published in Nature Computational Science. The new approach, based on deep-learning variational Monte Carlo (DL-VMC) techniques, demonstrates the ability to produce more accurate results while requiring only a fraction of the computational resources of previous methods.
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