emotion


Agenda « Emotion AI

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The Emotion AI Conference, March 30, 2020 in New York, features a series of technology focused presentations and panels followed by a networking reception. Our aim is to advance the state of play for emotion-reliant applications. We will cover technologies -- emotion models, natural language processing, speech analytics, conversational AI, facial coding, machine learning, machine-generated emotion, and software/platform options -- as well as data, visualization, bias, ethics, and market development. Our audience is researchers, data scientists, startups, developers, solution providers, and tech users.


Is Artificial Intelligence A Myth?

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Here is something we all love: tech buzz words and the grand promise of new technologies. You know it's right, because me, you and the person pitching the sales deck use them all the time. "The Internet Of Things will connect everything," "Blockchain will democratize everything," and "AI will solve all of our problems." AI specifically is high on the buzz word list: from traffic jams to climate change, there is a solution, and it is the new breed of machines that can think and act like us. Most of everything that was once plain "digital" is becoming "AI-enabled."



AI can now read emotions – should it?

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In its annual report, the AI Now Institute, an interdisciplinary research center studying the societal implications of artificial intelligence, called for a ban on technology designed to recognize people's emotions in certain cases. Specifically, the researchers said affect recognition technology, also called emotion recognition technology, should not be used in decisions that "impact people's lives and access to opportunities," such as hiring decisions or pain assessments, because it is not sufficiently accurate and can lead to biased decisions. What is this technology, which is already being used and marketed, and why is it raising concerns? Researchers have been actively working on computer vision algorithms that can determine the emotions and intent of humans, along with making other inferences, for at least a decade. Facial expression analysis has been around since at least 2003.


Could Artificial Intelligence Put The Communications Professional Out Of A Job?

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Are professional communicators at risk of being replaced by machines? Can corporate, and perhaps even marketing, communications be performed by software? Or is communication something we deem to be exclusively human? Do we feel immune from the forces of artificial intelligence (AI) because we believe only humans possess the ability to create things like irony, nuance or even humor? These are pretty serious questions.


Is Artificial Intelligence A Myth?

#artificialintelligence

Here is something we all love: tech buzz words and the grand promise of new technologies. You know its right, because me, you and the person pitching the sales deck, we use them all the time. "The Internet Of Things will connect everything," "blockchain will democratize everything," and "AI will solve all of our problems." AI specifically is high on the buzz word list: from traffic jams to climate change, there is a solution, and it is the new breed of machines that can think and act like us. Most of everything that was once plain "digital" is becoming "AI-enabled."


10 Artificial Intelligence APIs to Consider for 2020

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Do you think developers write the code of entire software on their own? Well, they can't even if they want to. Software code is complex and contains millions of logics. Developers can end up getting confused and mess up the entire software. Well, that's where application programming interface (APIs) comes to the rescue.


Intelligence in a Post-A.I. World

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In part 1, we considered the Multiple Intelligences that Artificial Intelligence already exhibit today. In part two, we consider the three intelligences for which A.I. does not exist. Existential Intelligence is one of the intelligences in Howard Gardener's taxonomy of multiple intelligences. It is the intelligence ascribed to those who think philosophically and involves an individual's ability to contemplate values and intuition to understand themselves and the world around them. People who possess this intelligence are able to see the big picture and ask the big questions.


Vice-President Research - IoT BigData Jobs

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Affectiva is an MIT Media Lab spin-off focused understanding human emotion. Our vision is that technology needs the ability to sense, adapt and respond to not just commands but also non-verbal signals. We are building artificial emotional intelligence (Emotion AI). As you can imagine, such an ambitious vision takes a great team with a strong desire to explore and innovate. We are growing our team to improve and expand our core technologies and help solve many unique and interesting problems focused around sensing, understanding and adapting to human emotion.


Machine learning and qualitative data analysis

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Most organizations use a variety of data collection and analysis methods to understand their stakeholders, whether through customer satisfaction surveys, product reviews, or employee pulse surveys. These ways of gaining insights fall into two broad categories: quantitative and qualitative data collection and analysis. Quantitative responses can be tallied and analyzed quickly, efficiently, and accurately with the help of mathematical logic formulas, algorithms, and, now, machines. Analyzing qualitative data is typically trickier, and it largely remains the province of human analysts, given that it requires a high degree of contextual understanding and social intelligence. For qualitative analysis insights to be considered valid--and taken seriously--the old-school method generally involves two or more people separately analyzing (for example, coding or categorizing) the data collected.