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  • What Is The Difference Between Machine Learning & Statistical Modeling

    What Is The Difference Between Machine Learning & Statistical Modeling

    Source: What Is The Difference Between Machine Learning & Statistical Modeling

  • Will the Future of AI Learning Depend More on Nature or Nurture? – IEEE Spectrum

    Will the Future of AI Learning Depend More on Nature or Nurture? – IEEE Spectrum

    The essence of intelligence is the ability to predict, because predicting the future is a very special case of “filling in the blanks” about the state of the world, LeCun says. Common sense enables humans and animals to fill in missing information based on their knowledge of how the world works. That is why human […]

  • New Theory Cracks Open the Black Box of Deep Neural Networks | WIRED

    New Theory Cracks Open the Black Box of Deep Neural Networks | WIRED

    Like a brain, a deep neural network has layers of neurons—artificial ones that are figments of computer memory. When a neuron fires, it sends signals to connected neurons in the layer above. During deep learning, connections in the network are strengthened or weakened as needed to make the system better at sending signals from input […]

  • The Problem With Sentiment Analysis

    The Problem With Sentiment Analysis

    information like the most popular words in a conversation or who is influencing it rarely makes it into news reports based on sentiment analysis. And part of the problem with placing tweets in “positive or negative” buckets, as journalists (yours truly included) often ask data analysis firms to do, is that natural language processing is […]

  • Phone-Powered AI Spots Sick Plants With Remarkable Accuracy

    Phone-Powered AI Spots Sick Plants With Remarkable Accuracy

    Researchers have developed a smartphone-based program that can automatically detect diseases in the most widely grown root crop on Earth. Source: Phone-Powered AI Spots Sick Plants With Remarkable Accuracy

  • Google (GOOG) explains how artificial intelligence becomes biased against women and minorities

    Google (GOOG) explains how artificial intelligence becomes biased against women and minorities

    This is one of the problems with social media and using that data for training machine learning.  Garbage in garbage out.  Human nonsense begets more nonsense. Train the systems with quality control, including a moral and ethical filter if necessary. Source: Google (GOOG) explains how artificial intelligence becomes biased against women and minorities — Quartz

  • A Survey of 3,000 Executives Reveals How Businesses Succeed with AI

    A Survey of 3,000 Executives Reveals How Businesses Succeed with AI

    Believe the hype that AI can potentially boost your top and bottom line. Thirty percent of early AI adopters in our survey — those using AI at scale or in core processes — say they’ve achieved revenue increases, leveraging AI in efforts to gain market share or expand their products and services. Furthermore, early AI […]

  • Why Understanding Morality is Key to Understanding Future With AI

    Why Understanding Morality is Key to Understanding Future With AI

    Source: Why Understanding Morality is Key to Understanding Future With AI | Lets Talk Payments

  • AI: Companies Applying AI to Build Next-Gen Financial Services Solutions

    AI: Companies Applying AI to Build Next-Gen Financial Services Solutions

    Source: MEDICI Top 21 – AI: Unveiling the Leading Companies Applying AI to Build Next-Gen Financial Services Solutions | Lets Talk Payments

  • Facets: An Open Source Visualization Tool for Machine Learning Training Data

    Facets: An Open Source Visualization Tool for Machine Learning Training Data

    Getting the best results out of a machine learning (ML) model requires that you truly understand your data. However, ML datasets can contain hundreds of millions of data points, each consisting of hundreds (or even thousands) of features, making it nearly impossible to understand an entire dataset in an intuitive fashion. Source: Research Blog: Facets: […]

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