The great hack: A famous fraudster explains the Equifax data breach

Hackers look for open doors. If your personal data isn't protected, it's that much easier to compromise your identity.

  • Legendary con-man-turned-FBI-consultant Frank W. Abagnale breaks down the 2017 Equifax data breach.
  • Hackers were able to access the personal data of millions of Americans through faulty software — and they might wait years before using the stolen social security numbers and dates of birth.
  • Abagnale blames Equifax for this oversight. If a company is entrusted with an individual's personal data they need to do a better job of protecting it. "Hackers don't cause breaches, people do," he says.
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Deep learning nails correlation. Causation is another matter.

Why do people with bigger hands have a better vocabulary? That's one question deep learning can't answer.

  • Did you know that people with bigger hands have larger vocabularies?
  • While that's actually true, it's not a causal relationship. This pattern exists because adults tend know more words than kids. It's a correlation, explains NYU professor Gary Marcus.
  • Deep learning struggles with how to perceive causal relationships. If given the data on hand size and vocabulary size, a deep learning system might only be able to see the correlation, but wouldn't be able to answer the 'why?' of it.
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Made in the USA

So much of the world you know was made possible by Intel founder Robert Noyce, co-inventor of the integrated circuit.

  • In this awe-inspiring short documentary, Michael Malone, author of The Intel Trinity, traces the history of Silicon Valley technology, starting with the integrated circuit, invented by Intel co-founder Robert Noyce.
  • Ever wondered how Moore's Law came about, and who it's named after? Gordon Moore, Intel's other founder and the law's namesake, explains the remarkable growth and improvements to quality of life made possible by the integrated circuit.
  • With quantum computing on the horizon, there's no telling how technology will change humanity in the next decades. That's a cause for excitement, and trepidation; new technology requires new cautions.
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Can AI simulations predict the future?

Move over deepfakes. Multi-agent artificial intelligence is poised to manipulate your mind.

Photo by Visual China Group via Getty Images/Visual China Group via Getty Images
  • While multi-agent artificial intelligence was first used in the sixties, advances in technology have made it extremely sophisticated.
  • Everything from online trading to disaster response training can be accomplished with MAAI.
  • The dark side of MAAI is the potential manipulation of voters and other insidious applications.
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How a Nobel Prize winner moves from data to discovery

How do you develop the next big idea? You pull together people who are both curious and passionate.

  • In 2018, Dr. Jim Allison was awarded the Nobel Prize in medicine for discovering an effective way to attack cancer through immunology.
  • In pursuing this discovery, he recruited other scientists who were curious, who cared about and were committed to science. "You have to put up with a lot of failure, 'cause if you're not, you're probably doing boring stuff," Allison says.
  • When it comes to developing a theory that works, it's critical to ask as many people as possible on a project for their hypotheses on why a particular outcome may take place. By pulling together these ideas, and testing them, better data can be accumulated.
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