Computer-assisted biology: Decoding noisy data to predict cell growth

Scientists from The University of Tokyo Institute of Industrial Science have designed a machine learning algorithm to predict the size of an individual cell as it grows and divides. By using an artificial neural network that ...

An improved method for protein crystal structure visualization

X-ray crystal structure visualization technique has been known for over a hundred years. While it keeps improving, it is extremely difficult to focus rays on objects that are invisible to the naked eye, such as proteins. ...

Neuron and synapse-mimetic spintronics devices developed

A research group from Tohoku University has developed spintronics devices which are promising for future energy-efficient and adoptive computing systems, as they behave like neurons and synapses in the human brain.

Deep learning democratizes nano-scale imaging

Many problems in physical and biological sciences as well as engineering rely on our ability to monitor objects or processes at nano-scale, and fluorescence microscopy has been used for decades as one of our most useful information ...

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