Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

When it comes to teaching math, a debate has persisted for decades: How, and to what degree, should algorithms be a focus of learning math? The step-by-step procedures are among the most debated ...

Aviv Ovadya is affiliated with the the Berkman Klein Center at Harvard, the AI & Democracy Foundation, the newDemocracy Foundation, and the Centre for Governance of AI. Luke Thorburn does not work for ...

Personalized algorithms can quietly limit what people explore while making them feel more certain they understand a topic.

Ben Khalesi writes about where artificial intelligence, consumer tech, and everyday technology intersect for Android Police. With a background in AI and Data Science, he’s great at turning geek speak ...

Recent survey delivers the first systematic benchmark of TSP solvers spanning end-to-end deep learners, hybrid methods and ...

The original version of this story appeared in Quanta Magazine. Imagine a town with two widget merchants. Customers prefer cheaper widgets, so the merchants must compete to set the lowest price.

Overview: AI-powered algorithms now drive a major share of global trading activity.Modern trading systems rely more on ...

Any biology student can pick a neuron out of a photograph. Training a computer to do the same thing is much harder. Jan Funke, a computational biologist at the Howard Hughes Medical Institute’s ...

Jordan Awan receives funding from the National Science Foundation and the National Institute of Health. He also serves as a privacy consultant for the federal non-profit, MITRE. In statistics and ...