Exploring bleeding edge experiments, oddities, new and bizarre dicoveries, and fact-checking conspiracy theories since 2008. No question is out of bounds and no topic is too strange for a deep dive.
# tech
Computer scientists at MIT are spearheading an effort to make designing and training artificial neural networks a lot faster and more efficient by powering through a paradox in their implementation.
# tech
Imagine a computer the size of a solar system, powered by a star and built for speed. It sounds impressive, but it may not be as good of an idea as it may seem.
# tech
A new set of chips shows a lot of promise in drastically reducing the vast amount of energy used by artificial neural networks.
# tech
Technophobes and worried Singularitarians concerned about a violent AI need to stop worrying about the machines and start worrying about who's programming them.
# tech
Big Think's informative and educational Q&A feature once again produces answers that fail to inform or educate.
# tech
We've reached a phase in computer development when everything old is new again. And this approach can work. Up to a point.
# tech
One of the biggest limitations on the computing power of our spacecraft is shielding them from radiation.
# tech
The NSA wants to scan the internet in real time and store whatever it can catch for later. But are they ready for the challenge that poses?
# tech
How accurate are the comparisons between how our brains work and how computers calculate? A trio of researchers decided to find out.
# tech
Michio Kaku talks quantum computing at Big Think. It doesn't go well. It doesn't go well at all.