It would be great to have every engineer have at least some amount of knowledge of machine learning.
Jeff DeanRead
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.
Interpretation
The quote highlights the importance of creating efficient systems that can learn and adapt with minimal resources.
Jeff Dean emphasizes the significance of developing systems that not only perform well on specific tasks but also possess the ability to generalize their understanding to new tasks. This adaptability, combined with efficiency in data use and computational power, will be crucial for advancing technology and artificial intelligence.
In practice
This quote can be used in a conference on artificial intelligence to emphasize the necessity of efficient learning systems.
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.
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.
Essentially, every technology you have ever heard of, where electrons move from here to there, has the potential to be revolutionized by the availability of molecular wires made up of carbon. Organic chemists will start building devices. Molecular electronics could become reality.
The Internet made fame wack and anonymity cool.
From now on, the technology companies that succeed will be those that have developed skills at listening and a sophisticated understanding of their customers' industries.
The faux now of Twitter updates and things pinging at you - all the pulses from digitality that we try to keep up with because we sense that there's something going on that we need to tap into - are artifacts, or symptoms of living in this atemporal reality. And it's not any worse than living in the 'time is money' reality that we're leaving.
More than anything else, technology will pave the way for innovative change at Starbucks. The bulk of Starbucks' innovation over the next several years will be technology-focused.
We want to build intelligence that augments human abilities and experiences.
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