What thread should I be in.
Are they not talking about software improvements to the phone threw software.
Could software and the new people building the phone together not build a better phone.
Exactly where should I be ?
Different question about the Pixel phone series...
- Thread starter anon(10092459)
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What thread should I be in.
Are they not talking about software improvements to the phone threw software.
Could software and the new people building the phone together not build a better phone.
Exactly where should I be ?
Rukbat
Retired Moderator
Not in the least. I considered updates, company reputation, the phone itself, what hardware was in it. I;m not a doctor, so I don't care about matching symptoms to anyone's but my own, and my Google-fu is pretty strong, so I don't care about an app that doesn't really look up what I want looked up. (And at 76. I don't think I'll live to see a phone that tells me to look it up myself because it doesn't feel like it at the moment.)
Mike Dee
Ambassador
Just got to watch the video.
Didn't pay attention to AI.
Still don't understand what ML is.
You are correct. Wrong thread.
Above my head.
It's a fascinating video. I don't directly consider this work in my decision, but indirectly in that I have a more positive view of the company because of it.
There's a bit of a difference between Artificial Sentience (AS, MS, MC, AC) and Artificial Intelligence (AI, ML).
To further elaborate, AI is "intelligent machines" and includes the capability of machines that imitate intelligent human behavior, such as Google Assistant and it also includes computers that carry out tasks that traditionally require human intelligence, such as visual perception, language translation and recognition, including speech recognition and decision making. Examples of the latter definition include: Google Lens, Google Photos, Google Translate, Google Assistant, Google's Duplex, the predictive aspects of the Pixel Launcher, and a whole host of other things. It also includes Google Search, especially the knowledge graphs.
Machine Learning is programs that alter themselves, giving themselves the ability to improve themselves without requiring a human to do additionally programming. Machine learning has to do with optimization across as specific aspect of their algorithmic activities. The computer is programmed with a set of rules to traverse a set of algorithms and is able to minimize it's own inefficiency by making alterations to those very same algorithms.
Deep Learning is a subset of ML that use "deep artificial neural networks" which are being programmed to function in similar ways as our own neural networks, including hardware required to do more computations per second. The "deep" part refers to the number of layers in a neural network. The more layers to the network, the more synapses are able to be formed, similar to our own brains and the easier and faster it becomes to do a higher volume of work and more difficult work. As an example, the DeepMind program from Google known as AlphaGo, a computer was able to defeat a world champion Go player. The craziest aspect of that activity was that AlphaGo was able to accomplish that without any human intervention. It was provided with the rules of the game and it learned by playing against itself until it was ready to take on human minds. This is an example of ML and AI combined in the form of DL.
None of these have anything to do with sentience or consciousness.
Machine Learning is programs that alter themselves, giving themselves the ability to improve themselves without requiring a human to do additionally programming. Machine learning has to do with optimization across as specific aspect of their algorithmic activities. The computer is programmed with a set of rules to traverse a set of algorithms and is able to minimize it's own inefficiency by making alterations to those very same algorithms.
Deep Learning is a subset of ML that use "deep artificial neural networks" which are being programmed to function in similar ways as our own neural networks, including hardware required to do more computations per second. The "deep" part refers to the number of layers in a neural network. The more layers to the network, the more synapses are able to be formed, similar to our own brains and the easier and faster it becomes to do a higher volume of work and more difficult work. As an example, the DeepMind program from Google known as AlphaGo, a computer was able to defeat a world champion Go player. The craziest aspect of that activity was that AlphaGo was able to accomplish that without any human intervention. It was provided with the rules of the game and it learned by playing against itself until it was ready to take on human minds. This is an example of ML and AI combined in the form of DL.
None of these have anything to do with sentience or consciousness.
Good video to explain how one particular program taught itself, practiced, and ultimately stomped all over a world champion human and the one thing that human does best:
https://www.youtube.com/watch?v=UzYeqAJ2bA8
https://www.youtube.com/watch?v=UzYeqAJ2bA8
Indeed. Now we're starting to see more collaboration with DeepMind with Google and in Android directly.
https://deepmind.com/blog/deepmind-meet-android/
The large scale work that business unit is doing is coming more to individual devices. This type of thing is what I have in mind when considering the Pixel line and this type of computational power being native to the OS.
Truth - never ceases to amaze me how little I know
But - I do know enough to buy a P3
Just pointing out that video is nearly 4.5 years old. We've come SO far since then.
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