Jan 05, 2022

One rule I try to live by is to not surprise my collaborators. During a project, for example, a deadline may slip, or a customer may drop out.

Machines are doing light janitorial work in the uncontrolled environment of Google’s offices. Everyday Robots, a new spin-out from Google’s experimental X Development division, unleashed 100 robots to perform an array of cleanup tasks.

Most Americans don’t understand AI, according to a new survey. Only 16 percent of adults in the United States got a passing grade on a true-or-false questionnaire of AI’s capabilities and uses.

Nothing is certain except death and taxes, the saying goes — but how to make taxes fair and beneficial remains an open question. New research aims to answer it.

The U.S. Department of Defense issued new ethical guidelines for contractors who develop its AI systems. The Pentagon’s Defense Innovation Unit, which issues contracts for AI and other high-tech systems, issued guidelines that contractors must follow.

Where labeled training data is scarce, an algorithm can learn to request labels for key examples. While this practice, known as active learning, can supply labeled examples that improve performance in some tasks, it fails in others.