In recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks: data classification and clustering, pattern revealing ...

Beyond improving fraud detection, Patil's work has helped Amazon optimize its resource allocation. By reducing the number of ...

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

Mathematician Cathy O'Neil says algorithms embed existing bias into code — with potentially destructive outcomes. Everyone should question their fairness, not just computer scientists and coders.

Instead, the system generates its own code examples and then evaluates them. In the process, it hangs on to information about combinations of instructions that are effective in sorting.

The Path Towards Green Coding By focusing on writing efficient, optimized code, we can reduce the energy and resource footprint of our software through: 1. Efficient algorithms and data structures ...

A study published Thursday in Science has found that a health care risk-prediction algorithm, a major example of tools used on more than 200 million people in the U.S., demonstrated racial bias ...

Most medical algorithms are trained on data collected in New York, California, and Massachusetts. That might skew they’re accuracy if they’re used in other places, researchers suggest.