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Category Archives: Natural Language Processing
“Do you love me?” How can a computer deal with real sentences?
Prof. Roger Shank just published an article with this title. He writes: “My career was in Natural Language Processing which is only one part of AI. I spent my life trying to figure out ways that computers could understand sentences … Continue reading
Breakthrough in Google Search
On Oct. 25 Pandu Nayak, Google Fellow and Vice President of Search, published an article “Understanding Searches Better Than Ever Before“. “Search is about understanding language. The latest advancements from our research team in the science of language understanding–made possible … Continue reading
Knowledge Specification and Querying
Our colleagues from the Rules and Reasoning community have just reported interesting results. They built a system that achieves 100% accuracy on an extensive test suite of movie-related questions, e.g. “Who appears in a Steven Spielberg directed film?”. Their approach … Continue reading
Beyond Chatbots: Hyper-Personalized, Intelligent Assistants
Peter Voss, CEO at Aigo.ai, published the article with this name in Forbes: “Recent years have seen a proliferation of chatbots and so called ‘personal assistants.’ These supposedly serve both the convenience of the user.. However, these bots often realize poor … Continue reading
Alexa for Insurers
Alexa, Amazon’s virtual assistant that powers Amazon’s Echo, is a tool insurance companies are using to leverage voice recognition and increase their value to their customers. Liberty Mutual offers its customers the option to use Alexa to get an auto … Continue reading
Google Announced a new Speech Recognizer
Google has announced the rollout of an end-to-end, all-neural, on-device speech recognizer based on the latest machine learning capabilities. “Our new all-neural, on-device Gboard speech recognizer is initially being launched to all Pixel phones in American English only. Given the … Continue reading
The same Challenges for AI and Decision Models
Peter Voss just quoted this Harvard Business Review’s article: “The scientific community is good at building AI models that perform a single task really well. But more intuitive, conversational, and contextual interfaces will require an AI model that learns continuously — … Continue reading
