Artificial Intelligence is a hot topic in the tech segment and almost every new advancement is as astonishing as the next as we push through the boundaries to make AI smarter every single day. While it may involve the use of large datasets and significant training time to make the AI smart enough, AI software is certainly easing day to day tasks and also increasing revenues of organizations throughout the world.
Let us take a look at 3 interesting stories in AI that you need to read:
What are Neural Networks? | Unite.ai
If you have ever wondered how machines are able to get smart and make decisions, then this is the article that you must read. This in-depth article from Daniel Nelson aims to help you learn everything about Neural Networks. In simple terms, neural networks are a connected series of mathematical functions which compute a set of data to provide conclusive results. The article will help you understand Multi-layer Perceptron and Deep Neural Networks as well as associated techniques with AI nodes. Be sure to read the article if neural networks have always intrigued you.
AI, Brain Augmentation And Our Identities | Forbes
Have you ever questioned your own identity? Whether the action you have just performed was actually you who triggered it? This article studies brain augmentation which relies on getting devices being implanted into one’s brain. But what are the ethical implications of such a practice? A white paper by Elon Musk proposed an implant would grow as an AI layer on top of the brain. That along with some other topics will be discussed in this article from Forbes.
Mind-reading A.I. analyzes your brain waves to guess what video you’re watching | Digital Trends
This article has real-life example of AI performing astonishing stuff. The AI used in this scenario is able to reconstruct the video being watched through brain waves and guess it. As per the researchers: “We have demonstrated that observing visual scenes of different content affects the human brain waves, so that we can distinguish the scene categories from [one another] by analyzing the corresponding EEG (electroencephalogram) signal.” This AI has an accuracy rate of 89% as per the tests conducted. Be sure to read the article to find out more!