The father of Artificial Intelligence (AI), Alan Turing had developed the perfect test to determine when a machine can be considered "intelligent": When the person interacting with it (written form of communication back then), cannot be certain whether he is interacting with another human or in fact a machine. The last Microsoft publication, from Brand Smith and Harry Shum, titled The Future Computed, is dealing with the present and the future of Artificial Intelligence but not in a transcendental way as the usual publications. What that means is that it doesn't delve into impressive future projections but rather examines the steps we are taking right now, the way the framework for the following steps should be shaped and what changes it will bring. That's because, for the AI systems to develop, it is necessary to safeguard the principles, the policies and the laws for their responsible use. In this publication the writers support the claim that these systems should be fair, trustworthy, transparent and controllable.

As a Data Science enthusiast I follow a lot of people and interact with them. Most of the people are from different study background like computer science, electrical, Mechanical etc. So Datascience is not confined to only computer science students every one can learn it. Not only their study background is different they are from different programming language like java, C, C# etc, which are available at their time but most of them shifted to python. They learned python in a less time and are able code the Machine Learning algorithms in python.

Strategies, standards, and supporting resources to help you make the Web more accessible to people with disabilities. After recently deciding to learn Web Development as well as Data Science, this section of the introductory course really grabbed my attention.

Luckily, with the miracle of technology at my fingertips, I can employ a very sophisticated technique to attack this problem: go and read what some random people have written on Wikipedia. If you go to the Wikipedia article on "Artificial Intelligence", you will find a short section labelled "Definitions", which contains the following: Computer science defines AI research as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals. Wow, that's impressive – as a (questionably) intelligent human, I don't think even I can do that. Suppose I have a difficult goal, say being able to run 100m in under 10 seconds. I don't really know how to achieve it, so I go to my friend for advice and say "Hey, could you give me some advice on how to achieve my goal of running really fast".

The father of Artificial Intelligence (AI), Alan Turing had developed the perfect test to determine when a machine can be considered "intelligent": When the person interacting with it (written form of communication back then), cannot be certain whether he is interacting with another human or in fact a machine. The last Microsoft publication, from Brand Smith and Harry Shum, titled The Future Computed, is dealing with the present and the future of Artificial Intelligence but not in a transcendental way as the usual publications. What that means is that it doesn't delve into impressive future projections but rather examines the steps we are taking right now, the way the framework for the following steps should be shaped and what changes it will bring. That's because, for the AI systems to develop, it is necessary to safeguard the principles, the policies and the laws for their responsible use. In this publication the writers support the claim that these systems should be fair, trustworthy, transparent and controllable.

Data is everywhere and its growing constantly. Its used in a multitude of ways and most of the time we don't even realize it. It is no longer being deleted but being stored for future reference and analysis so it can start to predict you! I don't want to scare you but rather inform you so that you are aware when you give your data away. Whether it be on Social Media or Shopping. I would always ask myself, do I trust the company or person I am sharing it with.

This week's announcement of Microsoft's major investment in OpenAI sent hopeful waves throughout the growing industry. OpenAI, co-founded by Elon Musk and Y Combinator chairman Sam Altman in 2015, plans to use the billion-dollar investment to create machine learning that mimics the brain. The 100-employee company specializes in what's referred to as AGI, or Artificial General Intelligence, which may eventually replace or stand in for human behaviour. While the nine figure sum is a testament to tech's commitment in the AI race, it also comes at a time when larger philosophical questions on its development are still awaiting answers. "The announcement is quite significant within the AI industry, and it presents an ambitious goal to deliver on the promise of AGI," said Ben Lamm, CEO of Hypergiant, an Austin-based AI products and services company.

Are technology companies running too fast into the future and creating things that could potentially wreak havoc on humankind? That question has been swirling around in my head ever since I saw the enthralling science-fiction film "Ex Machina." The movie offers a clever version of the robots versus humans narrative. But what makes "Ex Machina" different from the usual special-effects blockbuster is the ethical questions it poses. Foremost among them is something that most techies don't seem to want to answer: Who is making sure that all of this innovation does not go drastically wrong?