9-12 May 2023
Virtual & Hybrid
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Gissel
Velarde
Author, International Consultant & Lecturer
"Artificial Era: Predictions for Ultrahumans, Robots and other Intelligent Entities"
"Artificial Era: Predictions for Ultrahumans, Robots and other Intelligent Entities"
Tue June 8 - 7:50 AM EDT/New York (See in local time)
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05/08/2023 7:50 AM
05/08/2023 08:10 AM
America/New_York
#WTGC2023
"Artificial Era: Predictions for Ultrahumans, Robots and other Intelligent Entities"
#WTGC2023
"Artificial Era: Predictions for Ultrahumans, Robots and other Intelligent Entities"
https://www.womentech.net/vfairs
https://www.womentech.net/vfairs
"Artificial Era: Predictions for Ultrahumans, Robots and other Intelligent Entities"
"Artificial Era: Predictions for Ultrahumans, Robots and other Intelligent Entities"
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Session: Artificial Era: Predictions for Ultrahumans, Robots and other Intelligent Entities
What should be your strategy during the Artificial Era? Gissel Velarde's new book Artificial Era: Predictions for Ultrahumans, Robots and other Intelligent Entities, presents a groundbreaking view of technology trends and their impact on our society. In this talk, Gissel will discuss general intelligence, artificial intelligence, and how to harness this technology for human benefit. Join this talk if you would like to know what the future might look like. Moreover, you will learn about consciousness theories, if robots will ever be conscious, and the consequences of superintelligence's arrival. More information at: http://gvelarde.com
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Key Takeaways
- Humans in the Artificial Era
- Artificial Intelligence, creativity and consciousness
- Future
- Machine Learning
Bio
Gissel Velarde holds a Ph.D. in Computer Science and Engineering from the prestigious Aalborg University. She is an award-winning researcher, consultant, and lecturer. Velarde specialized in Artificial Intelligence and has more than 20 years of experience in engineering and computer science. She was a research member in the European Commission's project: Learning to Create, was a lecturer at Aalborg University, and currently teaches Artificial Intelligence, Machine Learning, and Deep Learning at the Universidad Privada Boliviana. She worked for Miebach Gmbh, Hansa Ltda, SONY Computer Science Laboratories, Moodagent, and Pricewaterhouse Coopers. Velarde has developed machine learning and deep learning algorithms for classification, structural analysis, pattern discovery, and recommendation systems. In 2020, she was named "Notable Women" by the diversity promotion committee of the International Society for Music Information Retrieval.