Dual System AI and NLP Platform Processes Conversational Data to Identify Importance and Relevance, Increases Accuracy in Transcription and Highlighting vs. Industry Benchmarks Menlo Park, CA August 27, 2018 — After months of research and development, Voicera is officially launching its foundational innovation for Progressive Attention AI that powers its in-meeting assistant, Eva. Progressive Attention AI accurately mimics human-level attentiveness by extracting the most valuable moments from a meeting and applying progressively higher computational focus on the moments to produce much more accurate outputs. This methodology performs twice as well as the most popular generic transcription engines currently on the market on real-world noisy meetings. The dual-system artificial intelligence approach, which uses both AI and natural language processing (NLP) systems, mimics human behavioral systems by maintaining two systems: one focused on rapid response, broad-facing, and is always on, while the second system is deeper, deliberate, highly accurate and engages only when necessary. "The human brain has always had the luxury of constantly scanning its environment while not wasting precious brain resources on every noise. Then when the brain senses something important, it allocates more attention to that particular input from the environment. Without that type of brain, the same person wouldn’t be capable of being both a sprinter and a chess player. To the brain this transition from muscle memory to deep thought is easy, but until now – AI has not worked this way." Said, Omar Tawakol, CEO of Voicera. "Most AI systems suffer from the ‘sophie’s choice’ of expensive time-consuming processing OR lower accuracy. Progressive Attention AI solves this, by allowing a fast analysis of the environment to identify relevant inputs followed by very deep and focused processing of important moments that can yield a much higher accuracy." This AI development is similar to the established models […]

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New Progressive Attention AI from Voicera Mimics Human Brain to Radically Improve Automated Conversational Understanding at Work