IBM’s AI research unit debuted Project CodeNet, a dataset to develop machine learning models for software programming. The name is a take-off on ImageNet, the influential dataset of photos that pushed the development of computer vision and deep learning. Creating “AI for code” systems has been challenging since software developers are constantly discovering new problems and exploring different solutions. IBM researchers have taken that into consideration in developing a multi-purpose dataset for Project CodeNet. Continue reading IBM Project CodeNet Employs AI Tools to Program Software

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