"The very next step is to integrate the chip into the robots to help them sense the world," Rosenthal told Sputnik. According to the expert, robots are able to learn any information you give them, but they can't sense the actual meaning of the words. The machines "learn whatever you feed" them and save the information being unable to appraise it. According to Rosenthal, the invention makes perfect sense as one day autonomous machines would see humans as their main competitors and try to take control. But teaching robots to empathize and feel positive emotions can help us all avoid that dystopian scenario and reduce potential threats of the artificial intelligence.
Rana El Kaliouby is cofounder and CEO of Affectiva, the pioneer in emotion-aware technology--the next frontier of artificial intelligence. Rana invented the company's award-winning emotion recognition technology, built on an emotion AI science platform that uses deep learning and the world's largest emotion data repository of nearly 4 million faces analyzed from 75 countries, amounting to more than 40 billion emotion data points. Prior to founding Affectiva, as a research scientist at MIT Media Lab, Rana spearheaded the application of emotion technology in a variety of fields, including mental health and autism research. Her work has appeared in numerous publications including the New Yorker, Wired, Forbes, Fast Company, the Wall Street Journal, the New York Times, CNN, CBS, Time magazine, Fortune, and Reddit. A TED speaker, Rana was recognized by Entrepreneur as one of the seven most powerful women to watch In 2014, inducted into the Women in Engineering Hall of Fame, recognized as a 2012 Technology Review top 35 innovators under 35, listed on Ad Age's 40 under 40, and given Smithsonian magazine's 2015 American Ingenuity Award for Technology.
Janelle Monáe has been teasing the Dirty Computer "emotion picture" (according to her, "a narrative film and accompanying musical album") for a while now, but it's finally here. The emotion picture ties Monáe's recent music videos into one cohesive, Afro-futuristic whole. Welcome to the world of Dirty Computer, where marginalized people fight to exist in a world that wants to rid them of their "dirt" (read: difference). As Monáe said in her momentous coming-out interview: "I want young girls, young boys, nonbinary, gay, straight, queer people who are having a hard time dealing with their sexuality, dealing with feeling ostracized or bullied for just being their unique selves, to know that I see you. This album is for you.
Computer scientists have developed a new technique to measure human emotions wirelessly. CBC Radio technology columnist Dan Misener explains how. In the past, this has been done with electrocardiography (ECG) monitors -- electrodes strapped to the body. But a team at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) has built a device that can do this without wires. They call it EQ-Radio, and in a lot of ways, the device is similar to a Wi-Fi router.
Karthigayan Muthukaruppanof Manipal International University in Selangor, Malaysia, and co-workers have developed a system using a genetic algorithm that gets better and better with each iteration to match irregular ellipse fitting equations to the shape of the human mouth displaying different emotions. They have used photos of individuals from South-East Asia and Japan to train a computer to recognize the six commonly accepted human emotions -- happiness, sadness, fear, angry, disgust, surprise -- and a neutral expression. The upper and lower lip is each analyzed as two separate ellipses by the algorithm. "In recent years, there has been a growing interest in improving all aspects of interaction between humans and computers especially in the area of human emotion recognition by observing facial expression," the team explains. Earlier researchers have developed an understanding that allows emotion to be recreated by manipulating a representation of the human face on a computer screen.