machine learning algorithms

also referred to as: machine learning algorithm

6 statements across 6 episodes · 2 bullish · 1 bearish · 4 people on the record · first statement Jul 15, 2017 by Josh Bloom · across every show →

Everything said about machine learning algorithms, oldest first

Jul 15, 2017 positive
Assertion Supported
Bloom: ML model detected supernova in 11 hours, driving Nature publications
“So one of the great things is our, ah, machine learning algorithm and framework wound up finding a new supernova that was in a very nearby galaxy. And because it was found about 11 hours after explosion, which were days earlier than had ever been found for tha…”
Josh Bloom Jul 15, 2017 ▶ 6:58 Supernovas and Novel Insight: Where Machine Learning is Headed Next
Jul 16, 2017
Insight
Chen: Humans fail at optimization beyond four dimensions while AI excels
“And after about three or four dimensions, your mind just kind of gives up. Your brain isn't programmed or optimized for that type of mathematical optimization, but machine learning algorithms love lots of data and are able to do this in a way that human brains…”
Frank Chen Jul 16, 2017 ▶ 36:13 The Promise of AI
Jan 2, 2019
Assertion Not checkable as stated
Fei-Fei Li: Many Industry Applications Rely on Non-Deep Machine Learning
“In fact, many, many industry applications today still use some of the most powerful machine learning algorithms that are not deep.”
Fei-Fei Li Jan 2, 2019 ▶ 8:01 a16z Podcast | When Humanity Meets A.I.
Jan 2, 2019 bearish
Prediction Not checkable as stated
Jensen Harris: Machine learning algorithms will rapidly become commodities
“I think all of the algorithmic stuff in machine learning is going to be commodity. Like, there are, like, 20 places in the world where they're inventing new algorithms, and that's, you know, educational institutions and huge companies, and that's really import…”
Jensen Harris Jan 2, 2019 ▶ 6:08 a16z Podcast | The Product Edge in Machine Learning Startups
Jan 2, 2019
Assertion Not checkable as stated
Frank Chen: Autonomous driving algorithms calculate safe paths, not ethical tradeoffs
“If you look at the current crop of machine learning algorithms that drive autonomy, they're not making high level decisions like, let's calculate the life expectancy of the people that I'm about to wipe out. They're not doing that. They're looking at, there's …”
Frank Chen Jan 2, 2019 ▶ 27:10 a16z Podcast | What Technology Wants, Needs, Does
Dec 30, 2019 bullish
Prediction Not checkable as stated
Chen: Neuromorphic computing chips may shortcut AI coach development
“Now, it's certainly possible that we can get to the smart coach on our current trajectory, which is more data fed to better machine learning algorithms, but this might be a shortcut. On the hardware side, this is called a neuromorphic chip, and it basically ex…”
Frank Chen Dec 30, 2019 ▶ 28:23 Imagining Our Future Through Tech
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