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As humans, we all enjoy a code of universal human rights. In the future, the question will pop up sooner or later: do AI deserve the same rights we enjoy? In this video, we will explore this question and examine what the future world will look like if AI do have rights.

Amazon acknowledged that the system failure was exacerbated by the co-dependencies its various services have on one another. The company had been trying to add capacity to its Amazon Kinesis service that customers use to process real-time data including video, audio and application logs. To resolve the issue, Amazon needed to restart a piece of its system it described as “many thousands of servers,” a lengthy process that had to be done gradually. But because other Amazon cloud services rely on Kinesis, including its Cognito authentication offering, they failed as well.

NASA ’s Perseverance rover carries a device to convert Martian air into oxygen that, if produced on a larger scale, could be used not just for breathing, but also for fuel.

One of the hardest things about sending astronauts to Mars will be getting them home. Launching a rocket off the surface of the Red Planet will require industrial quantities of oxygen, a crucial part of propellant: A crew of four would need about 55,000 pounds (25 metric tons) of it to produce thrust from 15,000 pounds (7 metric tons) of rocket fuel.

That’s a lot of propellant. But instead of shipping all that oxygen, what if the crew could make it out of thin (Martian) air? A first-generation oxygen generator aboard NASA’s Perseverance rover will test technology for doing exactly that.

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In videos past of this deep learning series, we have going from learning about the origins of the field of deep learning to how the structure of the neural network was conceived, along with working through an intuitive example covering the fundamentals of deep learning.

The focus of this video then will be to tie up many of the loose ends from those videos, and really delve into some of the complexities of deep learning!