We know that algorithms can outperform humans across an expanding range of settings, from medical diagnosis and image recognition to crime prediction. However, an ongoing concern is the potential for ...

Michael Kearns and Aaron Roth, professors at the University of Pennsylvania, suggest that the solution is to "embed precise definitions of fairness, accuracy, transparency, and ethics at the algorithm ...

This paper comprehensively surveys existing works of chip design with ML algorithms from an algorithm perspective. To accomplish this goal, the authors propose a novel and systematical taxonomy for ...

The skyrocketing scale of AI has been hard to miss in recent years. The most advanced algorithms now have hundreds of billions of connections, and it takes millions of dollars and a supercomputer to ...

Trial and error. On a napkin, on tracing paper, or on a black CAD background, much of an architect's work is to make and redo lines, shapes, objects, and images ...

The model of democracy in the 1920s is sometimes called “the melting pot” —the dissolution of different cultures into an American soup. An update for the 2020s might be “open source,” where cultural ...

Promoting rapid, predictable specification for optimal power, timing, area, and throughput, the Pipelined Architecture Composers library (PAClib) embarks as the industry’s first parameterized, ...