AI and Machine Learning Implications

Explore the implications of AI and machine learning in this 26-minute conference talk from the SU Global Summit 2019. Delve into the accelerated progress of machine learning applications, driven by advancements in specialized hardware, algorithms, and data accessibility. Examine the shift in corporate attitudes towards rapid machine learning deployment and the evolving public sentiment from skepticism to concerns about AI's potential risks. Investigate key topics including Deep Learning, Alpha Zero, Alpha Star, robotics, DNA arm technology, and various application areas. Address critical issues such as cybersecurity, ethical implications, AI safety and security, and the disruption of jobs. Gain insights into the AI Applications Framework and learn about best practices for capturing competitive advantages while effectively managing downside risks in the future of machine learning.

Intro
Deep Learning
Alpha Zero
Alpha Star
Robotics
DNA Arm
Application Areas
Cybersecurity
AI Applications Framework
Ethical Implications
AI Safety Security
Disruption of Jobs