Tag Archives: semantic

Smartlogic Recognized in Gartner’s Critical Capabilities for Metadata…

Smartlogic Semaphore Inc. makers of the world-class, Semantic AI platform Semaphore, has received above a 4.0 out of 5 across all use cases in the November 2018 Gartner Critical Capabilities for... (PRWeb December 12, 2018) Read the full story at https://www.prweb.com/releases/smartlogic_recognized_in_gartners_critical_capabilities_for_metadata_management_solutions/prweb15977868.htm

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TheBrain 10 Empowers People to Organize Vast Amounts of Information…

All New BrainBox Gives Users Quick, Ad Hoc Knowledge Capture and New Semantic Tagging Tools Offer Advanced Information Categorization and Discovery (PRWeb October 29, 2018) Read the full story at https://www.prweb.com/releases/thebrain_10_empowers_people_to_organize_vast_amounts_of_information_more_meaningfully_to_match_unique_work_habits_and_world_views/prweb15875898.htm

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Microsoft acquires conversational AI startup Semantic Machines to help bots sound more lifelike

Microsoft announced today that it has acquired Semantic Machines , a Berkeley-based startup that wants to solve one of the biggest challenges in conversational AI: making chatbots sound more human and less like, well, bots. In a blog post, Microsoft AI & Research chief technology officer David Ku wrote that “with the acquisition of Semantic Machines, we will establish a conversational AI center of excellence in Berkeley to push forward the boundaries of what is possible in language interfaces.” According to Crunchbase , Semantic Machines was founded in 2014 and raised about $20.9 million in funding from investors including General Catalyst and Bain Capital Ventures. In a 2016 profile, co-founder and chief scientist Dan Klein told TechCrunch that “today’s dialog technology is mostly orthogonal. You want a conversational system to be contextual so when you interpret a sentence things don’t stand in isolation.” By focusing on memory, Semantic Machines’ AI can produce conversations that not only answer or predict questions more accurately, but also flow naturally. Instead of building its own consumer products, Semantic Machines focused on enterprise customers. This means it will fit in well with Microsoft’s conversational AI-based products, including Microsoft Cognitive Services and Azure Bot Service, which are used by one million and 300,000 developers, respectively, and virtual assistants Cortana and Xiaolce.

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Google AI experiment has you talking to books

Google Research is giving us a (fun) glimpse of how far natural language processing in artificial intelligence has come. Mountain View's research division has rolled out a couple of what it calls Semantic Experiences, which are websites with interest...

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