Artificial Intelligence: A Summary of Strength and Architecture

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Hitherto the present, there has been a post floating around the internet detailing multiple "types" of artificial intelligence, purportedly written by someone named "Yuli Ban". If you see this post, know that it wasn't written by me at all, absolutely not, I take no responsibility for the cringy contents of that post, and you are likely remembering something that never existed or perhaps was written by my evil twin, Tali. In all seriousness, I've been meaning to update that post for a while now thanks to some greater understanding of how AI works. I recall mentioning how it was a smorgasbord of buzzwords without much meaning, written by someone in 2016 with no experience in AI whatsoever. This one, I hope, provides greater usefulness. Artificial intelligence has a problem: no one can precisely tell you what it is supposed to be.


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#artificialintelligence

Defining artificial intelligence isn't just difficult; it's impossible, not the least because we don't really understand human intelligence. Paradoxically, advances in AI will help more to define what human intelligence isn't than what artificial intelligence is. But whatever AI is, we've clearly made a lot of progress in the past few years, in areas ranging from computer vision to game playing. AI is making the transition from a research topic to the early stages of enterprise adoption. Companies such as Google and Facebook have placed huge bets on AI and are already using it in their products. But Google and Facebook are only the beginning: over the next decade, we'll see AI steadily creep into one product after another. We'll be communicating with bots, rather than scripted robo-dialers, and not realizing that they aren't human. We'll be relying on cars to plan routes and respond to road hazards. It's a good bet that in the next decades, some features of AI will be incorporated into every application that we touch and that we won't be able to do anything without touching an application. Given that our future will inevitably be tied up with AI, it's imperative that we ask: Where are we now? What is the state of AI? And where are we heading? Descriptions of AI span several axes: strength (how intelligent is it?), Each of these axes is a spectrum, and each point in this many-dimensional space represents a different way of understanding the goals and capabilities of an AI system.


Artificial Intelligence in the Enterprise

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Artificial intelligence (AI) seems to be on everyone's mind. It powers natural language recognition within voice-powered assistants like Siri and Alexa, beats world-class Go players (Google AlphaGo), and enables hyper-targeted e-commerce and content recommendations across the web, as we see with Amazon and Netflix. But recently, AI has begun actively expanding its footprint within the enterprise. Executives are trying to more fully comprehend what AI is and how they can use it to better capitalize on business opportunities by gaining insights into their data and engaging with customers more productively, thereby honing a competitive edge. AI is the frontier of enterprise technology, but there remains many misperceptions about what it is and how it works.


Artificial Intelligence in the Enterprise

#artificialintelligence

It powers natural language recognition within voice-powered assistants like Siri and Alexa, beats world-class Go players (Google AlphaGo), and enables hyper-targeted e-commerce and content recommendations across the web, as we see with Amazon and Netflix. But recently, AI has begun actively expanding its footprint within the enterprise. Executives are trying to more fully comprehend what AI is and how they can use it to better capitalize on business opportunities by gaining insights into their data and engaging with customers more productively, thereby honing a competitive edge. AI is the frontier of enterprise technology, but there remains many misperceptions about what it is and how it works. Part of the confusion stems from the fact that AI is an umbrella term that covers a range of technologies -- including machine learning (ML), computer vision, natural language processing, deep learning, and others -- that are in various stages of development and deployment.


Artificial Intelligence Demystified

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Artificial Intelligence has become a very popular term today. There is sure to be at least one article in the newspaper daily on the revolutionary advancements made in the field. But, there seems to be some confusion about what AI really is. Will the Terminator movie actually come true? Or is it something that has crept into our daily lives without us even realizing it? This article will give you a broad understanding on the buzzwords associated with AI, its applications, the careers & opportunities it has and its future.