If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
My name is Niranjan Kumar and I'm a Senior Consultant Data Science at Allstate India. In this article, we will discuss the basic concepts of Encoder-Decoder models and it's applications in some of the tasks like language modeling, image captioning, text entailment, and machine transliteration. Citation Note: The content and the structure of this article is based on my understanding of the deep learning lectures from One-Fourth Labs -- PadhAI. Before we discuss the concepts of Encoder-Decoder models, we will start by revisiting the task of language modeling. Language Modeling is the task of predicting what word/letter comes next.
Universal Approximation Theorem says that Feed-Forward Neural Network (also known as Multi-layered Network of Neurons) can act as powerful approximators to learn the non-linear relationship between the input and output. But the problem with the Feed-Forward Neural Network is that the network is prone to overfitting due to the presence of many parameters within the network to learn. Can we have another type of neural network that can learn complex non-linear relationship but with fewer parameters and hence prone to overfitting?. Convolution Neural Network (CNN) is another type of neural network that can be used to enable machines to visualize things and perform tasks such as image classification, image recognition, object detection, instance segmentation etc…are some of the most common areas where CNN's are used. In this article, we will explore the workings of the Convolution Neural Network in-depth.
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It is a 32 hrs instructor led machine learning training provided by Intellipaat which is completely aligned with industry standards and certification bodies. If you've enjoyed this machine learning training, Like us and Subscribe to our channel for more similar machine learning videos and free tutorials. Ask us in the comment section below. Machine learning is one of the fastest growing arms of the domain of artificial intelligence. It has far reaching consequences and in the next couple of years we will be seeing every industry deploying the principles of artificial intelligence, machine learning and deep learning technologies at scale.
In mid December, LinkedIn revealed that Artificial Intelligence (AI) Specialist was the top emerging job for 2020; this may not be of much surprise but it does beg the question of what AI specialists actually do, and what the job entails. What are the exact skills and knowledge businesses need from AI Specialists? Artificial Intelligence is a huge buzz word, and is discussed regularly in the media, sometimes conjuring images of robot workers and other futuristic scenarios. We want to break through the AI haze and confusion, and drill down on what AI actually is; if these specialists are so in demand this calendar year, what is it that they will actually be delivering for small business? Dynamic Business has previously explored what AI is, and today we are building on that understanding, with an interview from Jeff Olson, who is Head of Applied AI & Analytics for ANZ, Cognizant.
Artificial intelligence is one of the fastest moving and least predictable industries. Artificial Intelligence (AI) has the peculiar ability to simultaneously amaze, enthrall and intimidate. The possibilities of AI are innumerable and beyond the scope of our imagination. Looking ahead to 2020, CIOs will need to better assess the value of their AI bots. And also improve that ROI to the business.
Social media marketing is an inevitable marketing strategy of every business, here is the analysis of how ai helps to boost social media marketing campaign. Growth of data science and implementation of artificial intelligence in marketing campaigns are helping social media marketers to save lots of time and effort. Social media marketing is an unavoidable part of every business marketing strategy because this age has become the social media era. According to Social media today, Roughly 45% of the world's population uses social media and they spend an average of 2 hours and 23 minutes per day on social media. Social media is not only used to promote your products/services or sharing news but it also an effective and powerful tool for reaching new clients, increased brand awareness and customer support.
The story of automation in America has long been told in shuttered factories and declining Midwestern cities. But the latest wave of advancements in artificial intelligence may be bring the prospect of machine replacement beyond blue collar work. Developers are creating algorithms that promise to take over vast amounts of work in white collar fields like law and medicine, potentially upending traditionally high-status fields. For people in those once-secure positions, the questions are whose jobs may be changed, how soon, and what new opportunities may arise to take their place. Knowledge work that involves repetitive tasks or large amounts of data, such as lawyers' often arduous document discovery process, is particularly ripe for disruption from AI, experts say.
There are some innovation inclines that bubble out after some time, and after that, there are the most recent emerging technologies & trends that stay aloof and afterward gain footing after it either gets significant subsidizing or an industry abruptly coordinate it in their procedure. Numerous such advances have just made their unmistakable imprint in 2018 and are just a couple of more applications from getting to be standard. Those are the ones that we have recorded as the up and coming and most recent innovation patterns that would move toward becoming slanting continuously 2020. AI to a great wonder has been proceeding to have its spot in the rundown of top innovation patterns for very a few years and now has discovered a place in 2020 innovation forecasts also. PCs are presently fit for finding out about the world similarly to us people.
The Indian Space Research Organization (ISRO) is taking one giant leap for robot-kind. The space agency is sending the first half-humanoid along with an unmanned mission into space set for December. Named Vyommitra, the legless'female' robot speaks two languages, recognizes humans and answers questions like a living person. The purpose of the spacefaring machine is to conduct experiments before India launches its first manned mission to space in 2022. Scientists showed Vyommitra off a media event on Wednesday where she greeted spectators with'Hi, I'm Vyommitra the first prototype of half humanoid,' India Today reported.