Computer scientist Paris Smaragdis on "machine listening"
As a music student in college, Paris Smaragdis taught computers how to play more life-like music. Today, the 2006 TR35 winner teaches them how to listen better. We recently talked with him about how–and why–he made that transition. For Smaragdis, machine listening could provide solutions to all sorts of unexpected problems, from security and building engineering to accident investigation.
Keep Reading
Most Popular
Geoffrey Hinton tells us why he’s now scared of the tech he helped build
“I have suddenly switched my views on whether these things are going to be more intelligent than us.”
Meet the people who use Notion to plan their whole lives
The workplace tool’s appeal extends far beyond organizing work projects. Many users find it’s just as useful for managing their free time.
Learning to code isn’t enough
Historically, learn-to-code efforts have provided opportunities for the few, but new efforts are aiming to be inclusive.
Deep learning pioneer Geoffrey Hinton has quit Google
Hinton will be speaking at EmTech Digital on Wednesday.
Stay connected
Get the latest updates from
MIT Technology Review
Discover special offers, top stories, upcoming events, and more.