This article is part of Demystifying AI, a series of posts that (try) to disambiguate the jargon and myths surrounding AI.
I was nine years old when I had my first taste of programming, and fell in love with the art (yes, I believe programming is as much art as it is science). I quickly became fascinated with how I could control the flow of my programs by setting logical rules and conditions, if…else statements, switches, loops and more.
In later years, I learned to remove clutter from my code by creating modules and abstracting pieces of code into functions and classes. I enhanced my software development skills with object oriented analysis and design (OOA/D). I learned code reuse and design patterns. I learned to express my program in UML charts and diagrams. And I learned to apply those principles in nearly a dozen programming languages.
But the rule of thumb of programming remained the same: Defining the rules and logic. The rest were just tricks that helped facilitate the implementation and maintenance of those rules. Continue reading
No one will argue that Artificial Intelligence has taken great strides in past years. Thanks to AI we’re getting targeted and personalized ads, becoming better in education, healthcare, agriculture and whatnot.
So what’s preventing Artificial Intelligence from taking the next big leap? Maybe it’s intelligence.
Fact of the matter is, AI algorithms are becoming very smart and efficient at doing specific tasks, but they’re not smart enough to explain their decisions. And neither can their creators. Continue reading
Education, the ability to pass on knowledge, is one of the most ancient practices that sets humans apart from all other species on earth. It is through education that, instead of rediscovering and mastering the laws that govern the world we live in, new generations are able to pick up where their predecessors left off and enhance the knowledge and skills we possess.
Now, the learning and teaching process is undergoing an unprecedented transformation thanks to ed-tech, a conglomerate of technologies that is redefining classrooms, schools, universities and the entire education process.
At the forefront of those technologies is Artificial Intelligence, the often mystic and misunderstood science that is taking the world by storm and is helping (or replacing) humans at performing complicated tasks in various industries. Here’s how AI is changing education for the better. Continue reading
This year was a big one for artificial intelligence, machine learning, deep learning and all the related technologies. Thanks to innovations and breakthroughs, the industry took great leaps both for the better and the worse this year.
Though we’re still a long way from Singularity or Skynet (or Genisys or whatever else you want to call a robot and artificial intelligence invasion), we can all acknowledge that the lines between man and machine became a little bit more blurred in 2016.
Here are some of the hottest things AI had in stock for us in the past year.
RELATED: How to make sense of the confusion surrounding artificial intelligence Continue reading
Despite all of its benefits, artificial intelligence is introducing some controversial issues, and it’s not all about stealing our jobs. Thanks to machine learning algorithms, assets that were previously in our sole possession are no longer private and can be accessed and used by anyone who has the nerves to do a little search and install the right applications. Continue reading
Guest post by Charles Bell (@csbell88)
Slowly but surely, smart devices are becoming a part of our everyday lives, and there’s a great deal of debate about it. People wonder how far it will go, whether or not it’s truly good for us, and what risks or benefits may not have become fully apparent yet. Some of these topics were covered in a recent article about the IoT and machine learning, as related to home functions and everyday applications. But another area in which machine learning is becoming a fascinating topic is where autonomous cars are concerned. Continue reading