香港六合彩

A team of 香港六合彩 students is among the 10 teams selected, from over 125 universities worldwide, to compete in this year鈥檚 prestigious . This is a year-long competition and the first conversational AI challenge to incorporate multimodal (voice and vision) customer experiences. This challenge consists of building a TaskBot to help customers complete complex tasks in two domains, cooking and DIY. The 香港六合彩 team is named Condita, which stands for 鈥淐Ooking aNd DIw Task-based Agent鈥�, has received $250,000 of funding from Amazon for their participation. Condita in Italian means 鈥渟easoned鈥� when written as 鈥渃ondita鈥� or 鈥渨ith fingers鈥� when written as 鈥渃on dita鈥�.

The team is led by doctoral student as the Team Lead and as the Faculty Advisor. Yue is a doctoral student in the Dept of Computer Science (CS) advised by Prof. Emine Yilmaz and Dr Lipani. Dr Lipani is a Lecturer (Assist. Prof.) in Machine Learning in the Dept of Civil, Environmental and Geomatic Engineering (CEGE) and a member of the SpaceTimeLab and . The rest of the team consists of 香港六合彩 students from the CEGE and CS depts.

The other selected universities for this year鈥檚 Alexa Prize Challenge include Carnegie Mellon University, National Taiwan University, NOVA School of Science and Technology, Ohio State University, Texas A&M University, University of California Santa Barbara, University of Glasgow, University of Massachusetts Amherst, and the University of Pennsylvania. The winning team will receive a $500,000 prize.听

The Condita team鈥檚 focus will be on the IR and NLP aspects of the challenge on cooking and do-it-yourself (DIY) domains. The team鈥檚 vision is to provide an enjoyable user experience with professional step-by-step instructions on Cooking and DIY tasks by leveraging a rich task-knowledge base, multi-modal interactions, user personalisation, and human-like fluency.

The Condita team is excited to take part in the Alexa Prize TaskBot Challenge. 鈥淲e have recently designed methods to evaluate conversational systems and developed models for task-oriented dialogue systems, and this challenge gives us a unique opportunity to test our models within the Alexa platform by interacting with real users,鈥� concludes Dr Lipani.