Deep learning has yielded some fantastic results for basic natural language processing (NLP) functions such as named entity recognition (NER), document classification and sentiment analysis — not to ...

Machine learning and other artificial intelligence (AI) technologies are generating considerable excitement in the biopharmaceutical community due to the potential to revolutionize pattern ...

Natural language processing libraries, including NLTK, spaCy, Stanford CoreNLP, Gensim and TensorFlow, provide pre-built tools for processing and analyzing human language. Natural language processing ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More The Intel AI Lab has open-sourced a library for natural language ...

In the aptly titled State of AI Report 2019 published on June 28, Benaich and Hogarth embark on a 136-slide long journey on all things AI: technology breakthroughs and their capabilities, supply, ...

What is the difference between AI, Machine Learning, NLP, and Deep Learning? originally appeared on Quora: the knowledge sharing network where compelling questions are answered by people with unique ...

From a friend on Facebook: Me: Alexa please remind me my morning yoga sculpt class is at 5:30am. Alexa: I have added Tequila to your shopping list. We talk to our devices, and sometimes they recognize ...

Chatbots have a checkered past of often not delivering the performance their providers have promised. This is especially true in the IT service management (ITSM) and multilingual NLP spaces, where ...

Machine learning is based on the idea that a system can learn to perform a task without being explicitly programmed. Machine learning has a wide range of applications in the finance, healthcare, ...