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Interviewing the algorithm: How reporting and reverse engineering could build a beat to understand the code that influences us Nick Diakopoulos explains why journalists needs to start thinking more ...
Algorithms do not comprehend the difference between a child and a combatant hiding among civilians. They analyze probabilities and execute when a certain threshold of “threat” is exceeded.
If our algorithms can code such human nuances into the machine learning process, perhaps our music landscape in the algorithm age could connect people better than anything else.
Decoding algorithms, such as maximum likelihood techniques, exploit the structure of these codes to recover the original information with high fidelity.
His work with machine-learning algorithms allowed him to use a generative adversarial network (GAN) to create a recent project called "Alternative Face v1.1," which features a video of a young ...
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A code for the future: Scientists develop a faster and more reliable solution for 6G networks
Researchers at Skoltech have presented new generalized LDPC codes (Generalized Low-Density Parity-Check Codes, GLDPC)—a ...
With the help of open-source code, Adam Ferriss re-sorts pixels from random images into sublime new compositions.
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