By creating a 'little bit of the Universe in a bottle' in her lab, a PhD student in physics has reverse-engineered the ...
An efficient neural screening approach rapidly identifies circuit modules governing distinct behavioral transitions in response to pathogen exposure.
A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral analysis and SVM classification, the approach improves ...
National caste census has triggered a Bhumihar reckoning. The community in Bihar is waging a new battle for colonial-era ...
Mouse primary motor and somatosensory cortices contain detailed information about the many time-varying arm and paw joint ...
Every crystal's shape is a mirror of the internal arrangement of its molecules, but the molecules in photoswitchable crystals ...
Since the dawn of the computer age, researchers have wrestled with two persistent challenges: how to store ever-increasing ...
Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...
Machine learning is helping neuroscientists organize vast quantities of cells’ genetic data in the latest neurobiological cartography effort.
Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.
Over the past two decades, researchers have learned that DNA inside the cell nucleus naturally folds into a network of ...
Distributed Integrated Energy Microgrid, as a key infrastructure for the low-carbon transition of regional energy systems, faces critical challenges in achieving optimal operation—primarily due to ...
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