This video compares the teachings of ancient writings to the discoveries of modern physics.
“Deepfakes” are seemingly realistic videos generated by artificial intelligence. First seen on Reddit with pornographic videos doctored to feature the faces of female celebrities, deepfakes were made popular in 2018 by a fake public service announcement featuring former President Barack Obama. Words and faces can now be almost seamlessly superimposed.
The result: We can no longer trust our eyes.
In June, the House Intelligence Committee convened a hearing on the threat deepfakes pose to national security. And platforms like Facebook, YouTube and Twitter are contemplating whether, and how, to address this new disinformation format.
It’s a conversation gaining urgency in the lead-up to the 2020 election.
Yet deepfakes are no more scary than their predecessors, “shallowfakes,” which use far more accessible editing tools to slow down, speed up, omit or otherwise manipulate context.
The real danger of fakes — deep or shallow — is that their very existence creates a world in which almost everything can be dismissed as false.
Matt Lucas, IBM Global Blockchain Engagement, explains what blockchain is through the business context in which blockchain applies, defining some key blockchain terminology, exploring the problems blockchain solves and looking at the different types of blockchain technology.
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BBC Click examines a system of artificial intelligence that hopes to be able to tell your gender, age and even your emotion
Artificial intelligence is everywhere and it’s already making a huge impact on our lives. It’s autocompleting texts on our cellphones, telling us which videos to watch on YouTube, beating us at video games, recognizing us in photos, ordering products in stores, driving cars, scheduling appointments, you get the idea. Today we’re going to explain what AI can (and can’t) do right now and explain how we got to where we are today.
IBM and Chainyard today announced the initial launch of the Trust Your Supplier (TYS) blockchain network, established by Chainyard in collaboration with IBM. The network uses blockchain technology to improve the tedious process of supplier management. Nine Fortune 500 industry anchors are part of the governance board, which is designed to streamline supplier onboarding, while accelerating access to additional supply chain operating networks such as IBM’s Supply Chain Business Network
The chief decision scientist with Google Cloud says that marketers who are overwhelmed by everything they’re hearing about machine learning should focus on key ingredients, not building an entire kitchen.
Bitcoin and Blockchain. You’ve heard of them. But what do the words actually mean? Can you define blockchain? We’ve challenged a computer science expert to do just that, in the time it takes to ride an elevator.
Art Amador of AIEQ joins CNBC’s Bob Pisani, Seymour Asset Management’s Tim Seymour and CFRA’s Todd Rosenbluth to discuss a cutting-edge development in ETFs: using artificial intelligence and machine learning to run them.