3 AI misconceptions IT leaders must dispel


 Artificial intelligence is rapidly changing many aspects of how we work and live. (How many stories did you read last week about self-driving cars and job-stealing robots? Perhaps your holiday shopping involved some AI algorithms, as well.) But despite the constant flow of news, many misconceptions about AI remain.

AI doesn’t think in our sense of the word at all, Scriffignano explains. “In many ways, it’s not really intelligence. It’s regressive.” 

IT leaders should make deliberate choices about what AI can and can’t do on its own. “You have to pay attention to giving AI autonomy intentionally and not by accident,”


  1. Tomi Engdahl says:

    He’s making artificial intelligence better by having it play poker

    Noam Brown was never very good at poker. But an artificially intelligent program he created became the first to beat the world’s top players in no-limit Texas Hold’em, the game’s most popular variant.

    In recent years, machines have defeated humans in checkers, chess, and Go—known as “perfect information” games, where both players know the exact state of play at any given point.

    Imperfect information games like poker, where hidden cards introduce strategies like bluffing, add another level of complexity

  2. Tomi Engdahl says:

    The US and China dominate investment in AI while Europe champions research. We’ve dug into the latest State of AI report to give you the key takeaways.


  3. Tomi Engdahl says:

    AI Trained on Old Scientific Papers Makes Discoveries Humans Missed

    Scientists used machine learning to reveal new scientific knowledge hidden in old research papers.

  4. Tomi Engdahl says:

    “Zero-shot” and “few-shot” learning—figuring out a task with little to no training—are important for AI. Here, researchers develop a system with “deep internal learning” that can sort out the internal structure of an image from scratch.


  5. Tomi Engdahl says:

    Facebook AI Pluribus defeats top poker professionals in 6-player Texas Hold ’em
    Pluribus beat five other human players with an unconventional bet-sizing strategy.

  6. Tomi Engdahl says:

    Carnegie Mellon and Facebook AI Beats
    Professionals in Six-Player Poker
    “Superhuman” card shark achieves new AI milestone


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