Based on a webinar on analytics, this article covers the topics of machine learning and cognitive computing, and how these fields are related to artificial intelligence (AI). Panelists discuss how this technology is being applied in digital marketing space and what concerns organizations have in providing machine learning services.
Advances in Human-Computer Interaction is a peer-reviewed, open access journal that publishes theoretical and applied papers covering the broad spectrum of interactive systems. The journal is inherently interdisciplinary, publishing original research in the fields of computing, engineering, artificial intelligence, psychology, linguistics, and social and system organization, as applied to the design, implementation, application, analysis, and evaluation of interactive systems.
A pesar de la importancia del humor en nuestra vida, la falta de una definición fiable que determine sus causas obstaculiza la investigación para que la máquina, a través de la Inteligencia Artificial, pueda entenderlo.
Julia is a high-level, high-performance dynamic programming language for technical computing, with syntax that is familiar to users of other technical computing environments. It provides a sophisticated compiler,distributed parallel execution, numerical accuracy, and an extensive mathematical function library.
Andrei Alexandrescu didn’t stand much of a chance. And neither did Walter Bright. When the two men met for beers at a Seattle bar in 2005, each was in the midst of building a new programming language, trying to remake the way the world creates and runs its computer software. That’s something pretty close to…
"...This review article provides an overview of the efforts made on tackling this demanding task. As with many topics in computer graphics, a cross-disciplinary approach is required to fully understand the workings of the eye in the transmission of information to the user..."
From robots anticipating our desires to wristbands that help autistic children speak – the way we engage with technology is changing, finds Madhumita Murgia In a quiet breakfast cafe, on a sunny October morning in Boston, I am watching a gang of five animated emotions control the thoughts of a little girl called Riley. On …
Social media are used as main discussion channels by millions of individuals every day. The content individuals produce in daily social-media-based micro-communications, and the emotions therein expressed, may impact the emotional states of others. A recent experiment performed on Facebook hypothesized that emotions spread online, even in absence of non-verbal cues typical of in-person interactions, and that individuals are more likely to adopt positive or negative emotions if these are over-expressed in their social network. Experiments of this type, however, raise ethical concerns, as they require massive-scale content manipulation with unknown consequences for the individuals therein involved. Here, we study the dynamics of emotional contagion using a random sample of Twitter users, whose activity (and the stimuli they were exposed to) was observed during a week of September 2014. Rather than manipulating content, we devise a null model that discounts some confounding factors (including the effect of emotional contagion). We measure the emotional valence of content the users are exposed to before posting their own tweets. We determine that on average a negative post follows an over-exposure to 4.34% more negative content than baseline, while positive posts occur after an average over-exposure to 4.50% more positive contents. We highlight the presence of a linear relationship between the average emotional valence of the stimuli users are exposed to, and that of the responses they produce. We also identify two different classes of individuals: highly and scarcely susceptible to emotional contagion. Highly susceptible users are significantly less inclined to adopt negative emotions than the scarcely susceptible ones, but equally likely to adopt positive emotions. In general, the likelihood of adopting positive emotions is much greater than that of negative emotions.
Emotion-enabled applications open a new world of real-time interaction in response to how people feel, allowing digital experiences to come to life. Business processes and decision-making are more effective, when data platforms are enriched with unique emotion data. We have developed robust SDKs and APIs to allow developers to infuse emotion analytics and insight into …
Pepper es un autómata programado para interpretar los sentimientos a través de la voz y los gestos de los seres humanos e interactuar con ellos de acuerdo a su estado emocional, siendo capaz de consolar o divertir...
Rana El Kaliouby is the Chief Science Officer of Affectiva—and the woman paving the path to bring emotional intelligence to modern technology. Affectiva’s software enables technology to interpret emotion through facial expressions and is currently being used by thousands of d
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