Encryption systems rely on “random” numbers, but conventional computers can’t generate them perfectly. New research shows that quantum physics can.
Data science and machine learning algorithms can help us form probabilistic forecasts of things like sporting events.
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Dogs vs statins: A randomized controlled trial
A thought experiment in prevention: What if dogs do more for cardiovascular health than statins? Let’s examine the data, ...
Modern recruiting is marked by an “algorithmic monoculture” in which only a small number of vendors supply applicant ...
You haven’t overspent. You haven’t done anything suspicious. But somewhere inside your bank’s computer systems, a machine ...
Rajeev Dhir is a writer with 10+ years of experience as a journalist with a background in broadcast, print, and digital newsrooms. Thomas J Catalano is a CFP and Registered Investment Adviser with the ...
Random number generators have been around for ages, but they often have subtle imperfections that cause patterns to emerge.
The “lazy influencer” is finished. Social media hierarchies stayed frozen for a decade. If a content creator hit a million followers in 2016, they owned that crowd. It was a closed system where huge ...
A consensus algorithm is the rule a distributed network follows to agree on which new block is added to a blockchain, so every honest node ends up with the same ledger without trusting any single ...
Everyone is different, and we all have our own unique quirks and idiosyncrasies that make us who we are. There are some of us, though, who get inordinately irked by things the vast majority don’t have ...
In this post, we describe FrodoKEM, a key encapsulation protocol that offers a simple design and provides strong security guarantees even in a future with powerful quantum computers. For decades, ...
A new network paradigm can generate meaningfully random numbers—and fast. In network encryption, randomness has huge value because it’s not “solvable” by hackers. Classical computers can’t be ...
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