Abstract: Subsampled blind deconvolution is the recovery of two unknown signals from samples of their convolution. To overcome the ill-posedness of this problem, solutions based on priors tailored to ...
Abstract: Due to the complex sea clutter environment and target features, the conventional statistical theory-based methods cannot achieve high performance in maritime target detection tasks.
A new Northwestern Medicine study has introduced a novel machine learning method for analyzing how the brain organizes ...
Prompt injections, the malicious commands attackers embed into content to entice LLMs to follow them, have been attackers’ go ...
Researchers at Weill Cornell Medicine and Birkbeck, University of London, have identified a site where a commonly used ...
Open source CPU/GPU/AI chips? A standard governed in Switzerland, extensible by anyone, embargoable by no one. How real are ...
There are points in time at which a well-known technology, which has been used and gradually improved for decades, reaches its physical limitations, forcing a shift towards dramatically different ...
When people think about geological faults, they usually think about earthquakes. Yet faults do not move only during ...
For example, AI applications to medical diagnosis should be regulated very differently from AI applications to self-driving cars. U.S. National Academies report on AI and the Future of Work, study ...
This suggests that future work could continue to improve both the data and model levels—for example, by incorporating more real-world plant inspection samples to enhance cross-scene generalization, ...
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