Energy & Green Tech

Tracking the neural network's nuclear clues

Following the 2011 earthquake in Japan, a tsunami disabled the power supply and cooling in three Fukushima Daiichi Nuclear Power Plant reactors. The reactors' cores largely melted in the first 72 hours.

Machine learning & AI

Optimizing neural networks on a brain-inspired computer

Many computational properties are maximized when the dynamics of a network are at a 'critical point," a state where systems can quickly change their overall characteristics in fundamental ways, transitioning e.g. between ...

Machine learning & AI

A method to reduce the number of neurons in recurrent neural networks

A team of researchers at Queen's University, in Canada, have recently proposed a new method to downsize random recurrent neural networks (rRNN), a class of artificial neural networks that is often used to make predictions ...

Machine learning & AI

A hierarchical RNN-based model to predict scene graphs for images

Researchers at Shanghai University have recently developed a new approach based on recurrent neural networks (RNNs) to predict scene graphs from images. Their approach includes a model made up of two attention-based RNNs, ...


Teaching self-driving cars to predict pedestrian movement

By zeroing in on humans' gait, body symmetry and foot placement, University of Michigan researchers are teaching self-driving cars to recognize and predict pedestrian movements with greater precision than current technologies.

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