A single brain cell cannot think by itself, but when it's connected with millions of other cells, that network is capable of ...
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 neural interface framework integrating L2 regularization with attention supervision paradigms achieves 96.87% classification accuracy in EEG ...
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 ...
Just as your nervous system translates various sensory inputs into consistent signals, your enterprise needs a common ...
Artificial intelligence (AI) could soon become more energy-efficient and faster, thanks to a new approach developed at the ...
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 ...
(Nanowerk News) 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 inspired by ...