In the lower part of the figure, it can be seen that L2O leverages on a set of training problem instances from the target optimization problem class to gain knowledge. This knowledge can help identify ...

Algorithms are designed to learn user preferences by observing user behaviour. This causes algorithms to fail to reflect user preferences when psychological biases affect user decision making. For ...

“Abstract—Large-scale distributed deep learning training has enabled developments of more complex deep neural network models to learn from larger datasets for sophisticated tasks. In particular, ...

Human factors engineering plays a critical role in the design of AI-enabled medical devices and whether they might improve ...

Scientists have prototyped a new method for “rationally engineering” enzymes to deliver improved performance. They have devised an algorithm, which takes into account an enzyme’s evolutionary history, ...