We’ve talked a lot about modeling data and making inferences about it, but today we’re going to look towards the future at how machine learning is being used to build models to predict future outcomes.
Today we’re going to discuss how machine learning can be used to group and label information even if those labels don’t exist.
In this activity, students will explore a variety of real-world applications of machine learning and use the information to consider the potential advantages and disadvantages that come along with it.
Online dating can feel like drudgery… can science help you game the system?
In this episode, we travel to a future where a tech mogul feeds a machine learning system all the religious texts he can find, and asks it to generate a “super religion.”
Ashley Llorens, Chief of the Intelligent Systems Center at Johns Hopkins Applied Physics Lab, joins us to talk about intelligence of the human-type and the machine-type, and what it will take for machines to get up to speed.
On a rapidly changing planet, there are many ways to measure the health of an ecosystem. Can sound be one of them?