#1 – 80% Of Netflix Movies Are Watched Via AI Recommendations

Using Machine Learning, which analyses user data & content preferences, Netflix has managed to create a brilliant recommendations system that is actually a massive source of watch-time for them.

#2 – Deep Learning Algorithms provide 94% Accuracy When Detecting Lung Cancer

Lung cancer is currently the most common cancer-related death in the US. Unfortunately, the high costs, long procedures, and equipment challenges can hold back an early diagnosis. So doctors turned to AI for better solutions, and believe it or not algorithms performed as well or better than human radiologists, giving near-perfect results. The model also reduced false positives by 11% and false negatives by 5%!

#3 – Half of the time people can’t distinguish between text written by humans and an algorithm

According to recent studies, human evaluators can only correctly identify the author of a piece of text 50% of the time. This means that we are often unaware of when a machine learning system, like GPT-3, creates a text. GPT-3 is the most comprehensive model ever generated, with 175 billion parameters.

#4 – You can be diagnosed with depression by a computer 

Depression is one of the most common mental disorders, affecting more than 264 million people worldwide. And according to a recent study, a computer can diagnose depression just as accurately as a human psychiatrist. The study compared the accuracy of a computer algorithm with that of experienced psychiatrists and found that the two were indistinguishable. 

#5 – Machines can now read lips better than humans 

A recent study found that a machine learning algorithm can read lips with up to 95% accuracy, outperforming humans who can only manage up to 60%. The algorithm was trained on a dataset of more than 2,000 hours of TV footage and can read the lips of multiple people in a video at the same time.

Did you learn something new? Does your company use Machine Learning/AI technologies? Let me know!

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