During its Think conference this week, IBM debuted Project CodeNet, an open-source dataset for benchmarking around AI for code. Project CodeNet consists of 14 million code examples, which makes it about 10 times larger than the most similar dataset, which has 52,000 examples. Project CodeNet also offers 500 million lines of code and 55 programming languages including C++, Java, Python, Go, COBOL, Pascal and Fortran, making it a Rosetta Stone for AI systems to automatically translate code into other programming languages. Continue reading IBM CodeNet Enables AI Translation of Computer Languages

Facebook’s Rosetta is a machine learning system that extracts text in many languages from over one billion images in a real time. Facebook built its own optical character recognition system that can process such huge amount of content, day in and day out. In a recent blog post, Facebook explained how Rosetta works, using a convolutional neural network to recognize and transcribe text, even non-Latin alphabets and non-English words. The system was trained with a mix of human- and machine-annotated public images. Continue reading Facebook Adds 24 Languages to Rosetta Translation Feature