The Next Frontier Of Artificial Intelligence: Building Machines That Read Your Emotions

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The blueprint for today's artificial intelligence, neural network and machine learning technology is the human brain, simply because it is the most effective tool for solving problems that we know of.



Affectiva CEO: AI needs emotional intelligence to facilitate human-robot interaction

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Affectiva, one in a series of companies to come out of MIT's Media Lab whose work revolves around affective computing, used to be best known for sensing emotion in videos. It recently expanded into emotion detection in audio with the Speech API for companies making robots and AI assistants.


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We are pioneers in emotion recognition software. Built on Artificial Intelligence science platform using deep learning and the world's largest emotion database.


Popularizing "Emotion AI"-- 4 Steps For Creating a New Technology Category - The CMO Club

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Until recently, technology was somewhat limited in terms of its ability to sense and adapt to human emotions and reactions. Our apps, devices and advanced AI systems have lots of cognitive intelligence, but no emotional intelligence. As such, transactions between humans and machines are relatively superficial and often ineffective. But over the last few years, Affectiva created never-before-seen technology: software that identifies complex human emotional and cognitive states, by analyzing people's faces and voices. Essentially, we infused AI with EI (emotional intelligence)--allowing for much more productive, persuasive interactions between tech and humans. This was a brand-new category that hadn't yet been defined in AI. We coined it "artificial emotional intelligence," or "Emotion AI." As a result, our challenge was to introduce the tech and establish a major footprint for it--as well as our brand--in the AI industry.