The DAIS’20 Symposium focused on sharing lessons from leading experts and executives on AI from industry and academia based on hands-on tutorials, case study presentations, keynotes, and executives panel
The Dearborn Artificial Intelligence Research (DAIR) Center hosted from November 30 to December 4, 2020, at the University of Michigan – Dearborn the first online Dearborn Artificial Intelligence Symposium (DAIS).
The Dearborn AI Symposium focused on sharing lessons from leading experts and executives on Artificial Intelligence (AI) from industry and academia based on hands-on tutorials, case study presentations, keynotes, and executives panel.
The symposium was an occasion to provide keen insights and tips on identifying AI Opportunities, understand various types of business cases related to AI and when and how to adopt AI to drive business success.
It also provided the opportunity to investigate the practicality of the AI in real-world applications when AI acts as a teammate for human decision-making processes.
Besides, topping the agenda of the first online Dearborn Artificial Intelligence (AI) Symposium themes pertaining to Tutorials on AI for cybersecurity, AI for technical debt management, AI for risk estimation, AI for energy optimization, Business analytics, and so on …
The symposium started with a memorial session for Professor Bill Grosky who passed away on November 13, 2020.
Learn AI best practices from recognized practitioners and researchers
Presenting the Dearborn AI symposium Marouane Kessentini Founding Director of the Dearborn AI Research Center & CIS Associate Professor, UM Dearborn said that “actually, the pandemic brings a lot of advantages and we are here to help you turning adversity into advantage by exposing you and your company to the latest advances in AI and bringing you as a thinking partner via a high-quality remote event from November 30 to December 4, 2020.”
He added that “artificial intelligence has advanced tremendously and today promised personalized healthcare, enhance national security, and improved transportation just to name a few benefit, underlining “that the centre will enable you company to compete successfully and to win.”
Professor Marouane Kessentini indicated that the AI symposium has four main focuses which include enabling AI in the edge epics of the AI, the state of AI in Michigan and also how AI can serve automotive industry.
He pointed out that there are “keynote speakers, industry executive panels, industry case studies, tutorials and much more”… who share their experiences and knowledge in AI.
The Dearborn Artificial Intelligence Research (DAIR) Center plays a major role in the current research (advancing research in core AI and its applications) and education landscapes of the University of Michigan-Dearborn.
The DAIR is a hub for promoting large-scale research, in collaboration with AI academics, practitioners, and business leaders in addition to integrating AI research and educational activities.
The DAIR is also increasing collaboration within the University of Michigan-Dearborn through team research efforts in core and applied AI.
Coaching and training the next generation of AI scholars and practitioners is the DAIR’s main mission.
The impactful Research of the centre includes translating AI research and education into beneficial societal and industry impact.
The cooperative Environment concerns facilitating interdisciplinary research and teaching environment in which faculty from various departments and colleges can cooperate and conduct research on sponsored projects.
The goal of the DAIS’20 symposium is to bring together Artificial Intelligence (AI) scientists and practitioners, and corporate partners to discuss the current and new AI tools and their use in solving research and applied problems for various domains.
The annual DAIR AI Symposium is an excellent opportunity for exposing, hiring, learning, and branding about the latest research and practice in Artificial Intelligence.
This annual symposium invited great lineup of expert and executive speakers from industry and academia to share and discuss the latest advances in AI.