Machine learning gets a journal for interactive figures – Nature

Image: Goh, G. Why momentum really works. Distill (2017)

Sometimes it’s hard to understand someone else’s research through a static scientific paper. Across countless universities and companies, at whiteboards and cafeteria tables, you’ll find scientists in animated conversations explaining their research to one another, asking questions, playing around with each other’s data: in short, interacting. Across the internet in recent years, people have extended these explanations to include interactive graphics and code.

Now a web-only machine-learning journal called Distill aims to provide a formal home for these interactive graphical explanations.

Read the full story in Nature

Maestro – Tufts Magazine

A new artificial intelligence system designed at Tufts has made it faster and easier to learn to play the piano. Is it the future of education? 

Illustration by Gaby D’Allesandro

In a fourth-floor Tufts lab, a computer program was in the process of convincing a student that she was actually interacting with a human. It was spring 2015, and the student had come to the lab for a study involving a new way of teaching people to play the piano.

Yuksel and Oleson call their AI system Brain Automated Chorales, or BACh. It’s the first AI system to collect brain data and use that information to adapt a task for learners in real time. “It’s a huge deal,” said H. Chad Lane, an educational psychologist at the University of Illinois at Urbana-Champaign who studies intelligent technologies for learning. “No one has really successfully integrated neuroscience into interactive digital learning very well yet.”

With BACh’s flexibility, it becomes possible to envision brain-based AI tutoring systems that students could use in daily life—while doing homework, for example.

Read the full story in Tufts Magazine.