Machine Learning

  • Bias in Machine Learning

    Humans Can’t Fabricate Objectivity: The Bias in Machine Learning

    Previously, we discussed some of the pros and cons posed by machine learning. While “self-learning” computers have become the future of autonomous tech, R&D teams are still working to iron out fundamental limitations found within the technology. Machine learning was created to eliminate the constant need for human computational resources, but researchers are finding more […]

  • Machine Learning Applications

    Machine Learning Applications: The Good, The Bad, and The Unrealistic

    The Latest Innovations and Controversies of Machine Learning Up until the 1950’s, computers needed incredibly detailed commands, in highly-specific languages, to accomplish even the simplest of tasks. By 1959, Arthur Samuel had developed the Samuel-Checkers-playing Program—a computer game that became the world’s first ever self-“learning” machine. Rather than pre-program his computer to tell it what […]