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AI’s memorization crisis
Several of the researchers I spoke with while reporting this article told me about memorization research that has been ...
Deepfakes are no longer a future risk. They are already influencing fraud investigations, court proceedings, and digital ...
Abstract: Deep neural networks (DNNs) have been regarded as fundamental tools for many disciplines. Meanwhile, they are known for their large-scale parameters, high redundancy in weights, and ...
a single-threaded CPU compressor an OpenMP-backed multi-threaded compressor a SYCL-based GPU compressor (currently hipSYCL + NVIDIA only) a CUDA-based GPU compressor All variants generate and decode ...
Abstract: Network compression is a crucial technique for applying deep learning models to edge or mobile devices. However, the cost of achieving higher benchmark performance through compression is ...
What is spinal cord compression? Spinal cord compression is caused by any condition that puts pressure on your spinal cord. Your spinal cord is the bundle of nerves that carries messages back and ...
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