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Machine Learning
3mins
Thanks to modern tech, Earth is now considered a ‘detectable’ planet. Astrophysicist Sara Seager explains how this idea can lead us to discovering life elsewhere in our universe.
22mins
"Rationalism is the idea that, in order to truly know something, you have to be able to describe it explicitly."
25mins
"In the process of mapping the heavens, it doesn't take long to realize the data problem they generated."
12mins
Ninety million years after our lineages split, humans are beginning to listen to whales in a new way. Marine biologist David Gruber shares the work that has become his life’s pursuit: learning how to hear the planet’s largest mammals.
15mins
“Until very recently, I thought I would die with the same genome that I was born with.”
57mins
“What's really interesting about neural networks is the way that they think or the way that they operate is a lot like human intuition”
11mins
"We're stuck at type zero. But what would it take to move between universes? What would it take to enter a black hole? What would it take to break the light barrier?"
13mins
"What would a totalitarian society that is not well disposed to our own do if it had God-like power? We don't wanna find out."
8mins
Eric Siegel, Co-Founder & CEO, Gooder AI, argues machine learning (ML) projects go astray because their stakeholders focus too often on the technological fireworks — the “rocket science” of predictive models.
6mins
Algorithms dictate a lot more than your social media feeds. Here’s how to win back your agency.
8mins
Eric Siegel has been in the AI field since 1991. He’s “horrified” by the AI hype bubble, but not for the reason you think.
8mins
Wharton professor Ethan Mollick explains why “co-intelligence may be the future of AI.
4mins
What if AI could tell us we have cancer before we show a single symptom? Steve Quake, head of science at the Chan Zuckerberg Initiative, explains how AI can revolutionize science.
Chan Zuckerberg Initiative
5mins
How World War II codebreaker Alan Turing invented modern AI.
8mins
A University of Oxford professor explains how conscious machines are possible.