Coordinating complicated interactive systems, whether it’s the different modes of transportation in a city or the various components that must work together to make an effective and efficient robot, is an increasingly important subject for software designers to tackle. Now, researchers at MIT have developed an entirely new way of approaching these complex problems, using simple diagrams as a tool to reveal better approaches to software optimization in deep-learning models.
Diagram-based language streamlines optimization of complex coordinated systems
Reader’s Picks
-
Human populations need at least 2.7 children per woman—a much higher fertility rate than previously believed—to reliably avoid long-term extinction, [...]
-
Nearly 1 in 5 adults in the U.S. lack access to reliable transportation, making it one of the country’s most [...]
-
As Americans become more polarized, even family dinners can feel fraught, surfacing differences that could spark out-and-out conflict. Tense conversations [...]