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Join us for an online webinar on Tuesday, June 30th at 9:30 a.m. ET with MIT faculty member and expert in machine learning, Professor Devavrat Shah.

This webinar is a way to understand the topics covered in the ‘Machine Learning: From Data to Decisions’ online course, ask questions, and get a preview of the content.


This is a 60-minute webinar with Prof. Devavrat Shah to learn more about the upcoming Machine Learning: From Data to Decisions (Online) Program, followed by a Q&A session.

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High-quality Deepfake Videos Made with AI Seen as a National Security Threat

The FBI is concerned that AI is being used to create deepfake videos that are so convincing they cannot be distinguished from reality.

The alarm was sounded by an FBI executive at a WSJ Pro Cybersecurity Symposium held recently in San Diego. “What we’re concerned with is that, in the digital world we live in now, people will find ways to weaponize deep-learning systems,” stated Chris Piehota, executive assistant director of the FBI’s science and technology division, in an account in WSJPro.

The technology behind deepfakes and other disinformation tactics are enhanced by AI. The FBI is concerned natural security could be compromised by fraudulent videos created to mimic public figures. “As the AI continues to improve and evolve, we’re going to get to a point where there’s no discernible difference between an AI-generated video and an actual video,” Piehota stated.

What If We Made A Robot That Could Drive Autonomously?

For an indication about bifurcating the levels of self-driving, see my indication here: https://aitrends.com/ai-insider/reframing-ai-levels-for-self…-autonomy/

Conclusion

The consensus among self-driving car aficionados is that a robot driver is a long way away from being practical. A robot driver is considered generally to be more futuristic than trying to develop a self-driving car instead.

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