Man With Machine: Harnessing the Potential of Artificial Intelligence

https://securityintelligence.com/man-with-machine-harnessing-the-potential-of-artificial-intelligence/?cm_mmc=PSocial_Facebook-_-Security_Detect%20threats%20-%20QRadar-_-WW_WW-_-23012462_Tracking%20Pixel&cm_mmca1=000017NK&cm_mmca2=10004134&cm_mmca4=23012462&cm_mmca5=48989195&cm_mmca6=bdfe5818-7fea-4ba1-a728-fef91b396b4d&cvosrc=social%20network%20paid.facebook.WW%20Newsfeed%20Job%20Title%20CISO%20Discover%20SI%20Blog%20Engagement%20SI%20Watson%20Man%20With%20Machine%20AI%20Watson1%20_SD%20Behav_DesktopMobile%20Tablet_1x1&cvo_campaign=000017NK&cvo_pid=23012462

 When we think of artificial intelligence (AI), we think of robots — machines that mimic human behavior or thought. This is partly the influence of comics, novels, movies and other pop culture tidbits, but the boundaries of AI have progressed far beyond this basic personification.

 At its most basic level, machine learning, a subset of AI, consists of using algorithms to parse through data, learn from it and make predictions about new input data.

 Cognitive systems are another subset of artificial intelligence that simulate the human thought process using an automated model. These self-learning systems are built using machine learning foundations that perform data mining, pattern recognition and natural language processing (NLP).

 With the advancement of artificial intelligence and cognitive systems such as IBM Watson, we can now augment the security analyst’s ability to fill gaps in intelligence, speed and accuracy to confidently identify and stop cyberattacks. -at least in theory.


3 Comments

  1. Tomi Engdahl says:

    Google Created AIs That Can Teach and Program Themselves
    https://www.designnews.com/automation-motion-control/google-created-ais-can-teach-and-program-themselves/65133272757764?ADTRK=UBM&elq_mid=2059&elq_cid=876648

    Two breakthrough projects from Google – a new, self-taught version of the AlphaGo AI and AutoML, an algorithm capable of creating machine learning architectures – are pointing toward the next level of artificial intelligence.

    Expert Tells Robot Makers to Focus on the ‘Good’ of AI
    Eliminate hidden biases and concentrate on the social benefits, engineering prof tells attendees at ATX Minneapolis.
    https://www.designnews.com/automation-motion-control/expert-tells-robot-makers-focus-on-good-ai/31757978157809?ADTRK=UBM&elq_mid=2059&elq_cid=876648

    Reply
  2. Tomi Engdahl says:

    Uber Open-Sources Its AI Programming Language, Encourages Autonomous Car Development
    https://www.designnews.com/electronics-test/uber-open-sources-its-ai-programming-language-encourages-autonomous-car-development/3428305357816?ADTRK=UBM&elq_mid=2059&elq_cid=876648

    Uber, the popular ride sharing service, is moving to encourage AI research such as autonomous vehicle development by open-sourcing its own AI programming language, Pyro.

    Reply
  3. Tomi Engdahl says:

    What AlphaGo Zero Means for the Future of AI
    https://www.eetimes.com/author.asp?section_id=36&doc_id=1332648&

    Intel’s Bob Rogers explains the possibilities that emerge as AI progresses beyond standard machine learning. DeepMind’s self-taught Go champion is just the beginning.

    DeepMind, the division of the Alphabet conglomerate that is devoted to artificial intelligence, recently announced that its Go-playing AI, called Alpha Go, had evolved into a new iteration it calls AlphaGo Zero. The reason for the zero is that the new version is capable of teaching itself how to win the game from scratch.

    “Zero is even more powerful and is arguably the strongest Go player in history,” according to the DeepMind announcement. The AI not only can beat the best human players but can even defeat “the previously published champion-defeating version of AlphaGo by 100 games to 0.”

    Reply

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