The use of deep learning for phase recovery

Light, as an electromagnetic field, has two essential components: amplitude and phase. However, optical detectors, usually relying on photon-to-electron conversion (such as charge-coupled device sensors and the human eye), ...

Discovering exoplanets using artificial intelligence

By implementing artificial intelligence techniques similar to those used in autonomous cars, a team from the UNIGE and the UniBE, in partnership with the company Disaitek, has discovered a new method for detecting exoplanets.

Gaming chip is helping raise your computer's IQ

Facebook, Google and Microsoft are tapping the power of a vintage computer gaming chip to raise your smartphone's IQ with artificially intelligent programs that recognize faces and voices, translate conversations on the fly ...

Machine-learning technology to track odd events among LHC data

Nowadays, artificial neural networks have an impact on many areas of our day-to-day lives. They are used for a wide variety of complex tasks, such as driving cars, performing speech recognition (for example, Siri, Cortana, ...

How deep learning empowers cell image analysis

The cell is the basic structural and functional unit of life, with varying sizes, shapes, and densities. There are many different physiological and pathological factors that influence these parameters. It is therefore extremely ...

Synapses need only few bits

Deep learning is possibly the most exciting branch of contemporary machine learning. Complex image analysis, speech recognition and self-driving cars are just a few popular examples of a multitude of new applications where ...

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