How we learn, think, are motivated, are creative, and how we as human beings develop and innovate, has been heavily researched at an accelerating pace over the past decade. The body of evidence about learning and motivation not only informs educators and parents about human behavior and development, but it also helps us reshape our approach to parenting and education.
Google no longer understands how its "deep learning" decision-making computer systems have made themselves so good at recognizing things in photos.
This means the internet giant may need fewer experts in future as it can instead rely on its semi-autonomous, semi-smart machines to solve problems all on their own.
The claims were made at the Machine Learning Conference in San Francisco on Friday by Google software engineer Quoc V. Le in a talk in which he outlined some of the ways the content-slurper is putting "deep learning" systems to work. (You find out more about machine learning, a computer science research topic, here [PDF].)