Question

WRITE DOWN THE DRIVING FACTOR WHICH ACCELERATED ARTIFICIAL INTELLEGENCE?

Answer 1

Answer:

Three essential aspects are accelerating the pace of innovation in the field of Machine Learning and Artificial Intelligence

• Next-generation computing architecture.

• Access to historical datasets.

• Advances in Deep Neural Networks.

Answer 2

Answer:

AI is a way to automate things, reduce costs of thing and give access to things to more people, you can already have a car you don’t need to drive, you employ a butler, AI would let much more people have a butler and less people be the butler. The constantly changing markets gives people a reason to invest in the outcomes of the future, if there is no change, why invest in the future when it’s going to be the same as now.

Explanation:

Really two things:

Clever algorithms for training AI.

• GPU technology which means that you can evaluate a neural network about 1000 times faster than in a conventional CPU.

• AI had been one of those things like Fusion power - which was perpetually “25 years away” and never got to be less than 25 years - until suddenly it was here.
• Data
• The thing which accelerated development of AI was, internet. Accurately, it was www(world wide web), now you are using it.
• In early 2000s, three young AI professors in the US found it that new generation researchers can gather tremendously many image on www. (Fei Fei Li and her friends.)
• And they thought they would be able to improve AI with a lot images. So, they started to gather a lot images, and started to annotate each image. (“This is cat. This is dog.”) (Andrej Karpathy, Fei Fei Li's student)
• Hardware
• In another side, NVIDIA start to make and sell new kind of chips. (Jensen Huang) That was GPU. It was first commercialized for online games. It was specialized for fast computation for matrices in math.
• Software
• And with GPU, some European and European-American AI researchers started to use GPU for their GPU-friendly AI algorithms which require many images, and after that, they started to beat AI performance records. (Jurgen Shmidthuber, Yann LeCun)
• An active researcher did realize it that the three changes (large dataset, GPU, GPU-friendly AI algorithms) can improve AI drastically. So he started to explain it with easy words and easy examples. (Andrew Ng)
• Needs
• Perhaps the first client of new generation AI was Google's image search team. (Jeff Dean) They offered first large number of data, and be being helped by improved AI now.

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