A Co-Simulation Framework for Deep Learning on Chiplet-Based Systems” was published by researchers at University of Wisconsin ...
Their study is centred around answering three research questions: Do ANNs perform better than the traditional multiple ...
In industrial engineering, digital twins—computer models of systems or processes—let scientists try out ideas before finalizing designs. In addition, on the factory floor, twins can model processes in ...
For more than a decade, Christopher Kulendran Thomas has trained his own neural networks, building them from scratch before ...
Crystal structure prediction (CSP) of organic molecules is a critical task, especially in pharmaceuticals and materials ...
This valuable study uses EEG and computational modeling to investigate hemispheric oscillatory asymmetries in unilateral spatial neglect. The work benefits from rare patient data and a careful ...
Ashok Elluswamy, Tesla's VP of Autopilot Software, delivered a keynote titled "Building Foundational Models for Robotics at ...
Abstract: It is a common control issue that the input signal of the system is quantized in the controller-to-actuator channel via the communication network, but few results are available in ...
Just published in Nature, the Google team’s findings demonstrate what it says is the first-ever verifiable capability by a ...
Using simulations, robots, and live fish, scientists at EPFL and Duke University have replicated the neural circuitry that allows zebrafish to react to visual stimuli and maintain their position in ...
Abstract: The demand for edge artificial intelligence (AI) is significant, particularly in revolutionary technological areas such as the Internet of Things, autonomous driving, and industrial control.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback