Artificial Intelligence

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artificial intelligence

Should AI be regulated?

When it comes to AI, we need to think about protecting the safety and well-being of people everywhere with sound and prudent governance

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How AI can help solve the ‘fake news’ problem

AI's role in the “fake news” phenomenon is very exaggerated, but AI can help address the misinformation manipulation now so prevalent

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Fog computing: an intelligent move for (artificially) intelligent startups

Once all the minor kinks are ironed out, the myriad benefits offered by cloud computing will burst the door open for AI startups

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Something is (still) rotten in the kingdom of artificial intelligence

Four types of problems in the land of artificial intelligence

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How will AI surveillance change the American workplace?

As more companies start to realize the benefits and cost-efficiency of these systems, they’ll start to be adopted in greater numbers, and employees will start seeing the positive and negative benefits alike

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The wonders of AI—or the shortcomings of search?

Thus far, the case for AI seems to mainly center on how it is taking search to the next level

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Redefining software testing in the era of microservices and AI

Software testing and software testing vendors will need to fundamentally rethink and reshape their approach, given the new paradigms of programming and software development

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Insights-as-a-service: Giving companies a fast lane to data-driven action

If today data is king, then IaaS is fast emerging as the contractual chief adviser, helping to inform business decisions based on data-driven points of knowledge, predictions analytics, and insights

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Shifting from machine logic to intelligent interfaces

While machine learning introduces new approaches to software, AI’s more transformative impact will be in the way we interface with each other, businesses, and the world around us

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Artificial general intelligence (AGI): The steps to true AI

Early AI research tackled the challenge the wrong way, but there’s now progress around machine intuition, unsupervised learning, and creativity

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A quick-and-dirty way to predict human behavior

The Alternating Least Squares (ALS) technique is fundamental to many machine learning applications. Here’s how it works

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Building trust in machine learning and AI

If we understand how discrimination and bias enter algorithmic decision making, we have an opportunity to eliminate them

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Get started with TensorFlow

Begin harnessing the power of Google’s open source machine learning library with InfoWorld's hands-on tutorial

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Is your ITOM project AI-friendly?

The ability to stream information from legacy sources and setup within machine-learning-friendly value chain are key measures of today’s projects to ensure they aren’t obsolete before the end of the year

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Artificial intelligence isn’t taking your job

With data, artificial intelligence, machine learning, and automation may improve your job

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AI disruptions and the power of intelligent data

The combination of artificial intelligence and inductive machine learning using training data sets can bring significant impact on enterprise productivity and enhancements

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What is deep reinforcement learning: The next step in AI and deep learning

Reinforcement learning is well-suited for autonomous decision-making where supervised learning or unsupervised learning techniques alone can’t do the job

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TensorFlow review: The best deep learning library gets better

At version r1.5, Google's open source machine learning and neural network library is more capable, more mature, and easier to learn and use

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How AI is being used in images and video?

Image and video recognition, or computer vision, has become a broad category encompassing many different use cases

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AI: the challenge of data

While AI has been getting all the press, the elephant in the room is training data

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