taxnodes:Technology: Overviews


Quick Fact About Data Mining

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As our world digitizes, information becomes more valuable. The excess of information and the rapid increase of the data causes the stored data to become polluted and unusable. I would like to start with an example in order to understand this science which is one of the new professions of the modern century more easily. Suppose that an automobile company that produces luxury sports cars is launching a new, very fast, single-door convertible, the company will naturally think who its potential customers are. Nerd IT staff working in the company have a new idea.


A comprehensive survey on graph neural networks

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Last year we looked at'Relational inductive biases, deep learning, and graph networks,' where the authors made the case for deep learning with structured representations, which are naturally represented as graphs. Today's paper choice provides us with a broad sweep of the graph neural network landscape. It's a survey paper, so you'll find details on the key approaches and representative papers, as well as information on commonly used datasets and benchmark performance on them. We'll be talking about graphs as defined by a tuple where is the set of nodes (vertices), is the set of edges, and A is the adjacency matrix. An edge is a pair, and the adjacency matrix is an (for N nodes) matrix where if nodes and are not directly connected by a edge, and some weight value 0 if they are.


Artificial Intelligence and Law: An Overview by Harry Surden :: SSRN

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Much has been written recently about artificial intelligence (AI) and law. But what is AI, and what is its relation to the practice and administration of law? The discussion aims to be nuanced but also understandable to those without a technical background. To that end, I first discuss AI generally. I then turn to AI and how it is being used by lawyers in the practice of law, people and companies who are governed by the law, and government officials who administer the law.


An Overview of Human Pose Estimation with Deep Learning

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A Human Pose Skeleton represents the orientation of a person in a graphical format. Essentially, it is a set of coordinates that can be connected to describe the pose of the person. Each coordinate in the skeleton is known as a part (or a joint, or a keypoint). A valid connection between two parts is known as a pair (or a limb). Note that, not all part combinations give rise to valid pairs.


Recognize text, faces and landmarks: Adding Machine Learning to your Android apps

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Machine learning (ML) can help you create innovative, compelling and unique experiences for your mobile users. Once you've mastered ML, you can use it to create a wide range of applications, including apps that automatically organize photos based on their subject matter, identify and track a person's face across a livestream, extract text from an image, and much more. If you want to enhance your Android apps with powerful machine learning capabilities, then where exactly do you start? In this article, I'll provide an overview of an SDK (Software Development Kit) that promises to put the power of ML at your fingertips, even if you have zero ML experience. By the end of this article, you'll have the foundation you need to start creating intelligent, ML-powered apps that are capable of labelling images, scanning barcodes, recognizing faces and famous landmarks, and performing many other powerful ML tasks.


Study from Project Management Institute Identifies Six AI Technologies

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Project Management Institute released its 2019 Pulse of the Profession In-Depth Report: AI Innovators: Cracking the Code on Project Performance. The report provides an in-depth look at how artificial intelligence (AI) is impacting organizations and the project management profession. Findings reveal that AI disruption is happening and at a large scale: 81 percent of respondents report their organization is being impacted by AI technologies; 37 percent say adopting AI technologies is a high priority for their organization; and project professionals say they expect the proportion of the projects they manage using AI will jump from 23 to 37 percent over the next three years. These insights from a survey of 551 project management practitioners globally show that the presence of AI technologies will continue to grow, requiring shifts in how projects are managed and how organizations implement strategy. The report identifies six AI technologies that are impacting organizations globally.


A Guide to Using AI for Marketing

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As technology increases, so do the tools that we as marketers have at our disposal. One of the more recent developments, artificial intelligence (AI), is no exception. While most just hear AI and think of self-driving cars or sentient robots, this is an area of science that we can use to help us be more effective as marketers. AI is the method of using machine learning to mimic human intelligence, patterns and tendencies. Computers use algorithms and historical data to determine how to respond to certain actions.


A Guide to Using AI for Marketing

#artificialintelligence

As technology increases, so do the tools that we as marketers have at our disposal. One of the more recent developments, artificial intelligence (AI), is no exception. While most just hear AI and think of self-driving cars or sentient robots, this is an area of science that we can use to help us be more effective as marketers. AI is the method of using machine learning to mimic human intelligence, patterns and tendencies. Computers use algorithms and historical data to determine how to respond to certain actions.


Legal Tech Veteran Alex Su Joins Evisort From Logikcull as Artificial Intelligence for Contracts Comes of Age

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Evisort, an artificial intelligence (AI) technology company, today announced the appointment of legal tech veteran Alexander Su (Alex) as its Director of Business Development. Su previously led the sales team at Logikcull, an eDiscovery automation company that grew revenue from 0 to $10M in just 19 months. Su's move is the latest in a recent trend of leadership talent being drawn to Evisort due to its explosive growth this year. Over the past decade, Su has been uniquely positioned to observe the evolution of legal technology. Earlier in his career, Su managed numerous discovery workflows as an associate at Sullivan & Cromwell.


Neural networks and deep learning

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Why are deep neural networks hard to train? Appendix: Is there a simple algorithm for intelligence? If you benefit from the book, please make a small donation. I suggest $5, but you can choose the amount. Thanks to all the supporters who made the book possible, with especial thanks to Pavel Dudrenov. In the last chapter we learned that deep neural networks are often much harder to train than shallow neural networks. That's unfortunate, since we have good reason to believe that if we could train deep nets they'd be much more powerful than shallow nets. But while the news from the last chapter is discouraging, we won't let it stop us. In this chapter, we'll develop techniques which can be used to train deep networks, and apply them in practice. We'll also look at the broader picture, briefly reviewing recent progress on using deep nets for image recognition, speech recognition, and other applications. And we'll take a brief, speculative look at what the future may hold for neural nets, ...