Microsoft presented this day that it has bought Semantic Machines, a Berkeley-essentially based startup that wishes to solve one among the greatest challenges in conversational AI: making chatbots sound extra human and much less like, nicely, bots.
In a blog put up, Microsoft AI & Learn chief technology officer David Ku wrote that “with the acquisition of Semantic Machines, we can attach a conversational AI heart of excellence in Berkeley to push ahead the boundaries of what is most likely in language interfaces.”
In step with Crunchbase, Semantic Machines became once founded in 2014 and raised about $20.9 million in funding from investors at the side of Total Catalyst and Bain Capital Ventures.
In a 2016 profile, co-founder and chief scientist Dan Klein suggested TechCrunch that “this day’s dialog technology is basically orthogonal. You want a conversational gadget to be contextual so while you account for a sentence issues don’t stand in isolation.” By specializing in reminiscence, Semantic Machines’ AI can fabricate conversations that no longer simplest acknowledge or predict questions extra precisely, nonetheless also drag with the stream naturally.
In desire to building its have confidence consumer merchandise, Semantic Machines targeted on endeavor customers. This plot it ought to slot in nicely with Microsoft’s conversational AI-essentially based merchandise, at the side of Microsoft Cognitive Services and Azure Bot Service, which can presumably perhaps perhaps be frail by a million and 300,000 developers, respectively, and virtual assistants Cortana and Xiaolce.