How small is a small-world network?

Discovered in the field of social sciences in the 1960s, the phenomenon known as small-world networks has fascinated popular culture and science for decades. It arose from the observation that in the world, any two people ...

Social influencers: What can we learn from animals?

Research from Oxford University calls us to reconsider how behaviours may spread through societies of wild animals, and how this might provide new insights into human social networks.

All-optical diffractive neural networks process broadband light

Diffractive deep neural network is an optical machine learning framework that blends deep learning with optical diffraction and light-matter interaction to engineer diffractive surfaces that collectively perform optical computation ...

A matchmaker for microbiomes

Microbiomes play essential roles in the natural processes that keep the planet and our bodies healthy, so it's not surprising that scientists' investigations into these diverse microbial communities are leading to advances ...

Deep learning to analyze neurological problems

Getting to the doctor's office for a check-up can be challenging for someone with a neurological disorder that impairs their movement, such as a stroke. But what if the patient could just take a video clip of their movements ...

NASA applying AI technologies to problems in space science

Could the same computer algorithms that teach autonomous cars to drive safely help identify nearby asteroids or discover life in the universe? NASA scientists are trying to figure that out by partnering with pioneers in artificial ...

Deep neural networks speed up weather and climate models

When you check the weather forecast in the morning, the results you see are more than likely determined by the Weather Research and Forecasting (WRF) model, a comprehensive model that simulates the evolution of many aspects ...

Etalumis 'reverses' simulations to reveal new science

Scientists have built simulations to help explain behavior in the real world, including modeling for disease transmission and prevention, autonomous vehicles, climate science, and in the search for the fundamental secrets ...

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