Dashmellow
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@Dashmellow: I love your enthusiasm, but I don't share it. Computers, as they are build today and in the foreseeable future, compute. Nothing intelligent about it. The intelligence comes from the people that build them and program them. AI = marketing. For some it touches on Arthur C Clark's 3rd law, but it isn't magic. It's just optimized processors using very clever algorithm (there is the intelligence part) to iterate through a vast amount of data and coming up with something that people can recognize, when used in 'communicating' with a bot. The algorithms are 'trained' to optimize the 'shifting through a lot of data' process. But they didn't go to school, nor is there analytics involved that the scientific community depicts as intelligence. And ever too often the algorithm get it wrong and come up with solutions that make people want to kill themselfs. (Sad but true story).
It is a lot of marketing misuse of words to obtain a lot of money. As marketing often is.
However, the algorithms can be optimized to recognize patterns and act upon them. That is what happens in the examples you mentioned, recognize cancer cells between healthy cells. Recognize characters on a picture that contains a license plate (LPR). For dashcams THAT would be usefull. And yes, it will be called AI by the advertising company. But that doesn't make it AI in any shape or form.
It is true that there has been a lot of hype surrounding certain aspects of AI. For example, we are seeing many products (including dash cams) that claim to be AI but despite their features are not really true AI at all.
Your characterization of AI as, "It's just optimized processors using very clever algorithm (there is the intelligence part) to iterate through a vast amount of data and coming up with something that people can recognize, when used in 'communicating' with a bot." demonstrates a significant lack of understanding about what "artificial intelligence" actually is. It is far more complex than simply "clever algorithms" processing lots of data. What you are describing is merely the standard old school method of programing computers to carry out instructions that may seem like thinking but really isn't.
AI works on an entirely different conceptual approach for programming computers to process and act upon the data they are presented with. Artificial intelligence is the theory and discipline of programming computer systems to learn from and spot patterns in data sets, memorize and analyze the data that it absorbs and use it to make decisions and perform human like tasks. This process is called "Deep Learning" and it uses machine learning to create neural networks. A neural network is a model inspired by the structure and function of biological neural networks in animal brains and neural networks attempt to model human learning by digesting and analyzing massive amounts of information, also known as training data. They perform a given task with that data repeatedly, improving in accuracy each time. Each time an AI system runs a round of data processing, it tests and measures its own performance and develops additional expertise.This is similar to the way humans study and practice to improve their skills. The goal of AI science is to build a computer system that is capable of modeling human behavior so that it can use human-like thinking processes to solve complex problems. It is only recently with the arrival of processors that have the power and speed and low cost fast memory to store vast amounts of data that this is becoming a reality.
The field of computerized Artificial Intelligence is NOTHING like the traditional "clever algorithms" programming you are speaking of because the entire architecture of these systems is nothing like computing systems according to your frame of reference.
When we have systems that can collect vast amounts of data, analyze it, memorize it, make complex decisions based on the data and perform tasks base on this learning, all without human intervention we are entering into a new era.
When Alan Turing predicted the possibility of machine based artificial intelligence 74 years ago it was not possible until now because the technology and conceptual frameworks did not yet exist. Nevertheless, we are in the very earliest stages of practical AI development; essential the dark ages of what will it is to become. The nature of technology and AI in particular is acceleration, especially because it rapidly builds on itself.
As I mentioned above, true AI in portable electronics is already happening in smartphones in part because they have powerful processors and are connected to high speed networks. But as AI technology continues to advance the available chip-sets will get smaller and more efficient and be deployed in unique ways. As for voice prompts and AI functions in dash cams such as image processing, it will be quite some time until we see this happen, but it is coming eventually in one form or another.
Eventually, despite your skepticism, whether we like it or not, AI will invade every aspect of human life. Just the way the internet completely changed the world and today it is difficult to imagine a world without it, AI will have the same, if not greater impact on all of us.
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