![]() ![]() She invests significant effort in outreach efforts to make technology more accessible to non technical audiences and to inspire young people –and particularly girls– to pursue careers in technology. She is very passionate about the power of technology to improve our quality of life, both individually and collectively. She regularly collaborates with and is featured by the media. She is a frequent keynote speaker both for technical and non-technical audiences. ![]() She is well known for her work in computational models of human behavior, human computer-interaction, intelligent user interfaces, mobile computing and big data for social good. In 2018 she was named Engineer of the Year by the Professional Association of Telecommunication Engineers of Spain and she received an honorary doctorate from the University Miguel Hernandez. She is a member of the Academia Europaea and the fourth and youngest female member of the Spanish Royal Academy of Engineering. She is also a Fellow of the European Association of Artificial Intelligence and a IEEE Fellow. ![]() She is the first female computer scientist in Spain to be named an ACM Distinguished Scientist and an ACM Fellow. Some of the hard AI challenges the teams addressed included leveraging domain knowledge, tacking dialogue state, supporting adaptive and robust conversations and probably the most relevant to this conference: handling multi-modal interactions. One of the unique elements of this challenge is its multi-modal nature, where users receive both verbal guidance and visual instructions, when a screen is available (e.g., on Echo Show devices). TaskBots are agents that interact with Alexa users who require assistance (via “Alexa, let’s work together”) to complete everyday tasks requiring multiple steps and decisions, such as cooking and home improvement. In this talk, I will present the Alexa Prize TaskBot Challenge, which allows selected academic teams to develop TaskBots. She has been serving in various senior roles at leading academic research conferences in search and data mining, such as SIGIR, Yoelle obtained a PhD in Computer Science from the Technion, Israel in 1989, holds an engineering degree from the Ecole des Ponts et Chaussées, and a DEA (graduate degree) in Computer Science from Paris VI university, both awarded in 1985. Before Google, she was with IBM Research, first in the US, then in Israel, holding a number of positions from Research Staff Member to Distinguished Engineer. One of the most notable features her team launched is Google Suggest, the query auto-completion service. Prior to Yahoo, she was the first Google engineer in Israel and opened the Haifa engineering office. Prior to this, she was Vice President of Research at Yahoo, guiding the research teams worldwide. Yoelle Maarek is a Vice President at Amazon, heading research for Alexa Shopping. After that, I will talk about our latest large-scale vision and language “foundation model”, called FLAVA: a single holistic universal transformer that targets all modalities at once and that shows impressive performance on a wide range of tasks. I will cover some recent work that tries to improve how we do model evaluation in multimodal settings, focusing on the new Adversarial VQA and Winoground evaluation datasets. In this talk I will present a vision for acquiring perceptually grounded meaning in machines, as a key next challenge for natural language processing. ![]() His current research interests lie in developing better models for (grounded, multi-agent) language understanding and building better tools for evaluation and benchmarking. He holds a PhD in Computer Science from the University of Cambridge. Previously, he was a Research Scientist at Facebook AI Research. Douwe Kiela ) is the Head of Research at Hugging Face and an Adjunct Professor in Symbolic Systems at Stanford University. ![]()
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