Who is winning the #AI race : China 🇨🇳, Europe🇪🇺 or US 🇺🇸?

Interesting 106 page report from Aug 2019 by "Center for data innovation"
I personally believe that innovation will come from a true borderless exchange of technology & talent in democratic and responsible societies.

#artificialintelligence #machinelearning

❇️ @AI_Python_EN

Machine Learning From Scratch

https://github.com/eriklindernoren/ML-From-Scratch
#ArtificialIntelligence #DeepLearning #MachineLearning

❇️ @AI_Python_EN

Single Headed Attention RNN: Stop Thinking With Your Head

https://arxiv.org/abs/1911.11423

#ArtificialIntelligence #NeuralComputing #NLP


❇️ @AI_Python_EN

🔥 As you know ML has proven its importance in many fields, like computer vision, NLP, reinforcement learning, adversarial learning, etc .. Unfortunately, there is a little work to make machine learning accessible for Arabic-speaking people. Arabic language has many complicated features compared to other languages. First, Arabic language is written right to left. Second, it contains many letters that cannot be pronounced by most foreigners like ض ، غ ، ح ، خ، ظ. Moreover, Arabic language contains special characters called Diacritics which are special characters that help readers pronounced words correctly. For instance the statement السَّلامُ عَلَيْكُمْ وَرَحْمَةُ اللَّهِ وَبَرَكَاتُهُ containts special characters after most of the letters. The diactrics follow special rules to be given to a certain character. These rules are construct a complete area called النَّحْوُ الْعَرَبِيُّ. Compared to English, the Arabic language words letters are mostly connected اللغة as making them disconnected is difficult to read ا ل ل غ ة. ArbML helps fixing this by implementing many open-source projects that support Arabic, ML and NLP.

https://github.com/zaidalyafeai/ARBML

#machinelearning #deeplearning #artificialintelligence #nlp

❇️ @AI_Python_EN