To Build Truly Intelligent Machines, Teach Them Cause and Effect | Quanta Magazine
That’s a dramatic thing to say, that science has abandoned cause and effect. Isn’t that exactly what all of science is about? Of course, but you cannot see this noble aspiration in scientific equations. The language of algebra is symmetric: If X tells us about Y, then Y tells us about X. I’m talking about deterministic relationships. There’s no way to write in mathematics a simple fact — for examp
Machine Learning’s ‘Amazing’ Ability to Predict Chaos | Quanta Magazine
Half a century ago, the pioneers of chaos theory discovered that the “butterfly effect” makes long-term prediction impossible. Even the smallest perturbation to a complex system (like the weather, the economy or just about anything else) can touch off a concatenation of events that leads to a dramatically divergent future. Unable to pin down the state of these systems precisely enough to predict h
Scant Evidence of Power Laws Found in Real-World Networks | Quanta Magazine
A paper posted online last month has reignited a debate about one of the oldest, most startling claims in the modern era of network science: the proposition that most complex networks in the real world — from the World Wide Web to interacting proteins in a cell — are “scale-free.” Roughly speaking, that means that a few of their nodes should have many more connections than others, following a math
The Era of Quantum Computing Is Here. Outlook: Cloudy | Quanta Magazine
After decades of heavy slog with no promise of success, quantum computing is suddenly buzzing with almost feverish excitement and activity. Nearly two years ago, IBM made a quantum computer available to the world: the 5-quantum-bit (qubit) resource they now call (a little awkwardly) the IBM Q experience. That seemed more like a toy for researchers than a way of getting any serious number crunching
Females' Eggs May Actively Select Certain Sperm - The Atlantic
In the winner-takes-all game of fertilization, millions of sperm race toward the egg that’s waiting at the finish line. Plenty of sperm don’t even make it off the starting line, thanks to missing or deformed tails and other defects. Still others lack the energy to finish the long journey through the female reproductive tract, or they get snared in sticky fluid meant to impede all but the strongest
New Theory Cracks Open the Black Box of Deep Learning | Quanta Magazine
Even as machines known as “deep neural networks” have learned to converse, drive cars, beat video games and Go champions, dream, paint pictures and help make scientific discoveries, they have also confounded their human creators, who never expected so-called “deep-learning” algorithms to work so well. No underlying principle has guided the design of these learning systems, other than vague inspira
Is AlphaGo Really Such a Big Deal? | Quanta Magazine
In 1997, IBM’s Deep Blue system defeated the world chess champion, Garry Kasparov. At the time, the victory was widely described as a milestone in artificial intelligence. But Deep Blue’s technology turned out to be useful for chess and not much else. Computer science did not undergo a revolution. Will AlphaGo, the Go-playing system that recently defeated one of the strongest Go players in history
Together and Alone, Closing the Prime Gap | Quanta Magazine
Working on the centuries-old twin primes conjecture, two solitary researchers and a massive collaboration have made enormous advances over the last six months. On May 13, an obscure mathematician — one whose talents had gone so unrecognized that he had worked at a Subway restaurant to make ends meet — garnered worldwide attention and accolades from the mathematics community for settling a long-sta
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Can Babies Understand the World From Birth? - The Atlantic
Quanta Magazine
Quanta Magazine
Quanta Magazine