The 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), the premiere annual conference on AI and language, takes place July 5-10. As is the case with most events currently, ACL will be virtual this year due to COVID-19. At IBM Research AI, we’re excited to share with you — wherever you might be in the world — all the work we’ll have at ACL 2020 designed to advance AI for the enterprise. The ability of AI to master language has been one of IBM Research AI’s key areas of focus for years. The field of Natural Language Processing (NLP) is constantly evolving in efforts to better outfit AI with the ability to communicate similarly to how us humans can. It’s an incredibly challenging area of research. An AI must identify, decipher, and navigate through natural language barriers — tasks like slang, idioms, acronyms, different languages and extracting meaning from multi-format documents, to name a few. To tackle these challenges, IBM released earlier this year a new, four-part mastering language taxonomy…

AI the revolutionary concept that every tech company wants to crack has come far in a short period of time and we thought.When people think about AI they associate it to sci-fi concept but the reality is AI is playing an important part in out day to day life from phone calculator to the dream of self driving cars. But what would be even more useful is the AI's ability to understand language like we do.Researchers struggle to get machine to understand language like humans.We humans have the ability to transform words into 3D model but machines don't.I think we are solving the problem the wrong way rather than teaching the machine to recognise the words alone we can give the the ability to transform word into 3D models like we humans do.But this ability is not easy to master.So, we'll have to wait few more years to really get the most out of AI.Until then we can be optimistic about it.