Thermostats, for example, employ such rules ... machine learning-based controllers, which use intricate networks to learn the optimal control algorithm needed to best operate. However, these ...

For better accountability, we should shift the focus from the design of these systems to their impact. Describing a decision-making system as an “algorithm” is often a way to deflect ...

For many problems, some classical machine learning algorithm will produce a “good-enough” model. For other problems, classical machine learning algorithms ... using a rule called ...

Machine learning algorithms are the engines of machine learning, meaning it is the algorithms that turn a data set into a model. Which kind of algorithm ... of the gradient based on momentum ...

Such algorithmic decisions are natural experiments (conditionally quasi-randomly assigned instruments) since the algorithms make decisions based only on observable ... resembling decision-making by ...

To teach a machine-learning algorithm to find a relationship between ... By using large bio-signal datasets, machine-learning algorithms are able to find clear relationships that apply to most ...

Now UK researchers have developed an AI-based machine learning ... ACS could rule out a heart attack in more than double the number of patients, with an accuracy of 99.6%. The algorithm accurately ...