In 2010, MIT Media Lab students Karthik Dinakar and Birago Jones embarked on a project to develop a tool to aid content moderation for companies like Twitter and YouTube. The original concept had difficulty identifying posts using teenage slang and other non-obvious language nuances, but after realizing those most familiar with the data should be…
Navigating hundreds of robots in a warehouse without causing accidents is a growing challenge for many industries, from e-commerce to automotive production. To address this issue, a team of researchers at the Massachusetts Institute of Technology (MIT) has developed an AI-based approach that increases efficiency and reduces congestion.
The team devised a deep learning model that…
Discovering the transporters used by specific drugs can have profound impacts on patient care, and can also inform drug development. Drugs taken orally must pass through the digestive tract, and this often happens via transporter proteins. But, it's often unknown which transporter a certain drug uses to exit the digestive tract, and this could potentially…
In 2010, MIT Media Lab graduate students Karthik Dinakar and Birago Jones collaborated on a project aimed at helping Twitter and YouTube content moderation teams detect problematic content. One daunting challenge they initially faced was understanding the nuanced and coded language that posters were using. This hurdle sparked an understanding that successful model development required…