Ai writing code9/27/2023 ![]() ![]() MISIM is an exciting step forward, says Veselin Raychev, CTO at the Swiss-based company DeepCode, whose bug-catching tools-among the most advanced on the market-use neural networks trained on millions of programs to suggest improvements to coders as they write.īut machine learning is still not great at predicting whether or not something is a bug, says Raychev. Working with a team from Intel, MIT and the Georgia Institute of Technology in Atlanta, he has developed a system called Machine Inferred Code Similarity, or MISIM, that can extract the meaning of a piece of code-what the code is telling the computer to do-in much the same way as natural-language processing (NLP) systems can read a paragraph written in English. Gottschlich and his colleagues call this machine programming. Even OpenAI’s GPT-3 language model can churn out simple pieces of code, such as web page layouts, from natural-language prompts. Microsoft is building basic code generation into its widely used software development tools, Facebook has made a system called Aroma that autocompletes small programs, and DeepMind has developed a neural network that can come up with more efficient versions of simple algorithms than those devised by humans. Automated code generation has been a hot research topic for a number of years. That’s why some people think we should just get machines to program themselves. ![]()
0 Comments
Leave a Reply.AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |