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To understand what Semantic Machines is trying to build, you have to think about what existing personal assistants lack.聽Behind relatable names and repetitive humor, Siri, Google Assistant, Cortana and Alexa all essentially work the same way 鈥?they recognize and parse speech, c
stanley cup lassify intent and then execute聽commands. This is a perfectly good framework for building a voice recognition system that can interface with a string of APIs, but it falls woefully short if you expect it to carry an intelligent conversation.Intelligence is a tough nut to crack; it requires more than a great classifier. To build something you don ;t want to throw on the ground, you need to balance data, learning, memory, computation and some semblance of goals. Semantic is trying to double down on the memory portion to give users the experience they expect.Google Allo struggling with memory on my personal phone Today
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