Researchers say chatbot exhibits self-awareness
Are large language models sentient? If they are, how would we know?
Are large language models sentient? If they are, how would we know?
Recent advances in machine learning have enabled the development of techniques to detect and recognize human emotions. Some of these techniques work by analyzing electroencephalography (EEG) signals, which are essentially ...
A team of researchers at Yonsei University and École Polytechnique Fédérale de Lausanne (EPFL) has recently developed a new technique that can recognize emotions by analyzing people's faces in images along with contextual ...
Macquarie University cyber security experts have invented a multi-lingual chatbot designed to keep scammers on long fake calls and ultimately reduce the huge number of people who lose money to global criminals every day.
Jun 26, 2023
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With the advent of 5G communication technology and its integration with AI, we are looking at the dawn of a new era in which people, machines, objects, and devices are connected like never before. This smart era will be characterized ...
Feb 11, 2021
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Machine learning models that can recognize and predict human emotions have become increasingly popular over the past few years. In order for most of these techniques to perform well, however, the data used to train them is ...
Phishing is the most common form of cyberattack and still growing. Yet, in a survey of Internet users, it was found that 45 percent of those surveyed did not understand what phishing was or the risk associated with it.
Researchers at the Polish-Japanese Academy of Information Technology and Warsaw University of Technology have developed a deep alignment network (DAN) model to classify and visualize emotions. Their method was found to outperform ...
A new study has found that digital makeup mirrors enhance a sense of "fakeness" and embarrassment and create a desire for the "real" in-store experience among consumers.
Nov 23, 2022
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Researchers at Stanford have recently explored the use of machine learning to measure the severity of depressive symptoms by analyzing people's spoken language and 3-D facial expressions. Their multi-model method, outlined ...