It would be great to have every engineer have at least some amount of knowledge of machine learning.
Previously, we might use machine learning in a few sub-components of a system. Now we actually use machine learning to replace entire sets of systems, rather than trying to make a better machine learning model for each of the pieces.
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What this quote means
The quote highlights the advancement of machine learning from a tool for specific tasks to a comprehensive solution that can replace entire systems.
Jeff Dean emphasizes the evolving role of machine learning in technology, illustrating a significant shift from utilizing it merely to enhance individual components of a system to the point where it can now supplant entire systems. This transition marks a pivotal moment in the integration of machine learning into broader applications, reflecting its growing capability and transformative potential in various domains.
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In a tech conference on artificial intelligence, this quote emphasizes the importance of adopting full system integration of machine learning.
More from Jeff Dean
All quotes →We want to build systems that can generalize to a new task. Being able to do things with much less data and with much less computation is going to be interesting and important.
Some people are happy to work in a particular domain or some field of computer science for years, and years. I personally like to kind of move around every few years, just to learn about new areas.
I like working in small teams where people on the team have very different skills than what I have and that banter back and forth, and the ability to build something collectively that none of you could do individually is actually a really useful and valuable thing.
Supervised learning works so well when you have the right data set, but ultimately unsupervised learning is going to be a really important component in building really intelligent systems - if you look at how humans learn, it's almost entirely unsupervised.
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Just think of what a world it would be if we could measure the characteristics of your body when you get sick and transmit those directly to a doctor or a computer. You could get diagnosed and cured instantly and wirelessly.
The first man-made satellite to orbit the earth was named Sputnik. The first living creature in space was Laika. The first rocket to the Moon carried a red flag. The first photograph of the far side of the Moon was made with a Soviet camera. If a man orbits the earth this year his name will be Ivan.
Sooner or later the Internet will become profitable. It's an old story played before by canals, railroads and automobiles.
Hard numbers tell an important story; user stats and sales numbers will always be key metrics. But every day, your users are sharing a huge amount of qualitative data, too - and a lot of companies either don't know how or forget to act on it.
In our age of individualism, we see computers as ways through which we can express our individuality. But the truth is that the computers are really good at spotting the very opposite. The computers can see how similar we are, and they then have the ability to agglomerate us together into groups that have the same behaviours.
If one app or news site or friend gets your attention, that means something or someone else loses it. It comes out of our sleep, our time with family or our reflective time with ourselves.