The machine-learning programs that underpin their ability to “see” still have blind spots—but not for much longer ...
From industrial robots to self-driving cars, engineers face a common problem: keeping machines steady and predictable. When ...
A single brain cell cannot think by itself, but when it's connected with millions of other cells, that network is capable of ...
A neural interface framework integrating L2 regularization with attention supervision paradigms achieves 96.87% classification accuracy in EEG ...
WEST LAFAYETTE, Ind. – In the background of image recognition software that can ID our friends on social media and wildflowers in our yard are neural networks, a type of artificial intelligence ...
After years of trying, the electronic nose is finally making major progress in sensing smells, almost as well as its human ...
A new tool, based on topology, makes finding the areas where neural networks are confused as simple as spotting mountaintops from an airplane. The ability to spot and address those areas of confusion ...
A tool for checking the output of neural networks makes finding errors as easy as spotting mountaintops from an airplane. (Purdue University image) WEST LAFAYETTE, Ind. – In the background of image ...