Artificial Intelligence in the Second Machine Age
The advancement of artificial intelligence (AI) in this second machine age is, and will continue to be, the defining feature of this age. With smart machines everything changes. This department tracks what is happening on the AI front and how this technology is changing every area of our lives.
University of Washington researchers have demonstrated for the first time that devices that run on almost zero power can transmit data across distances of up to 2.8 kilometers — breaking a long-held barrier and potentially enabling a vast array of interconnected devices.
New stochastic separation theorems proved by University of Leicester mathematicians could enhance capabilities of artificial intelligence
A computer science approach using machine learning can predict the time remaining before the fault fails.
Researchers said a computer program that analyzed the estimates of an agribusiness expert helped a business division at Dow AgroSciences improve the accuracy of its forecasts.
SLAC and Stanford researchers demonstrate that brain-mimicking ‘neural networks’ can revolutionize the way astrophysicists analyze their most complex data, including extreme distortions in spacetime that are crucial for our understanding of the universe.
Researchers show that subwavelength terahertz imaging works
with methods that accelerate imaging speed.
Doctors are often deluged by signals from charts, test results, and other metrics to keep track of. It can be difficult to integrate and monitor all of these data for multiple patients while making real-time treatment decisions, especially when data is documented...
Researchers illustrate how a self-learning algorithm decodes human brain signals that were measured by an electroencephalogram (EEG).
Who is the better experimentalist, a human or a robot? When it comes to exploring synthetic and crystallization conditions for inorganic gigantic molecules, actively learning machines are clearly ahead.
In what could be a small step for science potentially leading to a breakthrough, an engineer at Washington University in St. Louis has taken steps toward using nanocrystal networks for artificial intelligence applications.
AI Department Head