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.

Algorithms mirror flaws and fuel mistrust. Surveillance erodes privacy. Mindful choices, collective action—laws, literacy—can reclaim humanity.

The teacher-scoring code and a company's resume sorting code (both mentioned above) are general examples of algorithms gone wrong. They were simply designed to look for the wrong things.

Twitter announced on Friday that it's open-sourcing the code behind the recommendation algorithm the platform uses to select the contents of the users' For You timeline.

Twitter has released part of its source code for its recommendation algorithm. It shows how it specifically tracks how Elon Musk's tweets are doing.

Convolutional Codes and Decoding Algorithms Publication Trend The graph below shows the total number of publications each year in Convolutional Codes and Decoding Algorithms.