I've been to so many manufacturing plants. I've yet to walk into one where I did not think AI solutions wouldn't help.
Interpretation
Andrew Ng believes that AI can enhance efficiency and productivity in manufacturing plants.
In this quote, Andrew Ng expresses his conviction that artificial intelligence has the potential to improve operations in manufacturing environments. He highlights his experience visiting numerous plants and consistently observing opportunities for AI to streamline processes, reduce costs, and enhance overall performance. This suggests a strong belief in the transformative power of technology in traditional industries.
In practice
In a business presentation discussing the future of manufacturing and technology.
AI has been making tremendous progress in machine translation, self-driving cars, etc. Basically, all the progress I see is in specialised intelligence. It might be hundreds or thousands of years or, if there is an unexpected breakthrough, decades.
It seemed really amazing that you could write a few lines of code and have it learn to do interesting things.
Most of the value of deep learning today is in narrow domains where you can get a lot of data. Here's one example of something it cannot do: have a meaningful conversation.
Imagine if we can just talk to our computers and have it understand, 'Please schedule a meeting with Bob for next week.' Or if each child could have a personalized tutor. Or if self-driving cars could save all of us hours of driving.
A single neuron in the brain is an incredibly complex machine that even today we don't understand. A single 'neuron' in a neural network is an incredibly simple mathematical function that captures a minuscule fraction of the complexity of a biological neuron.
None of us today know how to get computers to learn with the speed and flexibility of a child.
I find it amusing that I'm on the Internet now, because I've criticized it, but mainly I've criticized it on the basis of, 'What are you going to do with it?'
The only way you multiply resources is with technology. To really affect poverty, energy, health, education, or anything else - there is no other way.
That has always been the objective of Apple: to do things that really enrich people's lives. That you look back on and you wonder, 'How did I live without this?'
The programmer, like the poet, works only slightly removed from pure thought-stuff. He builds his castles in the air, from air, creating by exertion of the imagination. Few media of creation are so flexible, so easy to polish and rework, so readily capable of realizing grand conceptual structures.
Error-prone or biased artificial-intelligence systems have the potential to taint our social ecosystem in ways that are initially hard to detect, harmful in the long term, and expensive - or even impossible - to reverse.
If you're as clever as you can be when you write it, how will you ever debug it?
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