Related topics: cyberattack

Artificial intelligence probes dark matter in the universe

A team of physicists and computer scientists at ETH Zurich has developed a new approach to the problem of dark matter and dark energy in the universe. Using machine learning tools, they programmed computers to teach themselves ...

Introducing quantum convolutional neural networks

Machine learning techniques have so far proved to be very promising for the analysis of data in several fields, with many potential applications. However, researchers have found that applying these methods to quantum physics ...

As ransomware rages, debate heats up on response

City services in Baltimore, Maryland, were paralyzed earlier this year when a ransomware attack locked up computer networks and made it impossible for residents to make property transactions or pay their municipal bills.

Simulating quantum systems with neural networks

Even on the scale of everyday life, nature is governed by the laws of quantum physics. These laws explain common phenomena like light, sound, heat, or even the trajectories of balls on a pool table. But when applied to a ...

Inhibitory neurons have two types of impact on brain oscillations

Studying the brain involves measuring the activity of billions of individual brain cells called neurons. Consequently, many brain measurement techniques produce data that is averaged to reflect the activity of large populations ...

CosmoGAN: Training a neural network to study dark matter

As cosmologists and astrophysicists delve deeper into the darkest recesses of the universe, their need for increasingly powerful observational and computational tools has expanded exponentially. From facilities such as the ...

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