Technology often changes the way older stories are understood. As new tools become part of daily life, familiar works can ...
Jeffrey Lai, Founder and CEO of IrisGo, is an AI entrepreneur and product leader with deep roots in intelligent assistants ...
Human-AI relationships are no longer confined to the domain of science fiction. As the technology has developed, AI chatbots have evolved from playing a role in search engines and image-generation ...
The Autotelic Interaction Research (AIR) group seeks to understand, model and support self-directed behaviour in AI, in people, and in their interaction. The research basis, interests, and ...
Animals are increasingly exposed to interactive technologies and involved in technological interactions. Ambient and wearable devices are now frequently used by humans to monitor animals’ states and ...
Artificial intelligence platforms may be just as susceptible to social engineering as human beings, but they are proving remarkably good at finding security vulnerabilities in human-made computer code ...
Abstract: This paper mainly studies the reinforcement learning method with human-computer interaction function. In this project, a multi-agent cooperative optimization method based on multi-agents is ...
We propose OmniShow, a video generation model that unifies text, reference image, audio, and pose conditions for HOIVG, which consists of: To systematically evaluate HOIVG under diverse multimodal ...
My research goals are to advance the science of how people interact and learn with adaptive, AI-based learning technologies, and to advance the design and engineering of these technologies.
The integration of GPT-5.4 Thinking into frontend development introduces a new level of efficiency and precision, particularly through its enhanced Computer Use Ability (CUA). This feature allows the ...
The Visualization and Interaction for Business and Entertainment (VIBE) group conducts research in the areas of: artificial emotion intelligence (AEI), information visualization in machine learning ...
Carnegie Mellon University researchers have developed an AI system that enables everyday objects to anticipate people’s needs and move to assist them, opening new possibilities for seamless ...