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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.

If Dr. Mainprize felt proud of his role in the breakthrough, he didn’t show it.

He was well aware of the significance of this achievement; it was potentially the key to tackling a wide range of illnesses, from brain cancer to Parkinson’s disease and Alzheimer’s disease – illnesses that are currently impossible or hard to cure. But he also knew he and his team at Sunnybrook Health Sciences Centre still had a long way to go before their work translated into actual treatment for patients, said his close friend and colleague Nir Lipsman.

By making use of the ‘spooky’ laws behind quantum entanglement, physicists think have found a way to make information leap between a pair of electrons separated by distance.

Teleporting fundamental states between photons – massless particles of light – is quickly becoming old news, a trick we are still learning to exploit in computing and encrypted communications technology.

But what the latest research has achieved is quantum teleportation between particles of matter – electrons –something that could help connect quantum computing with the more traditional electronic kind.

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.