3 AI misconceptions IT leaders must dispel

https://enterprisersproject.com/article/2017/12/3-ai-misconceptions-it-leaders-must-dispel?sc_cid=7016000000127ECAAY

 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,”

1,694 Comments

  1. Tomi Engdahl says:

    U.S. Energy Department is First Customer for World’s Biggest Chip
    https://spectrum.ieee.org/tech-talk/computing/hardware/us-energy-department-is-first-customer-for-worlds-biggest-chip

    Last month, Cerebras Systems unveiled a 46,225-square millimeter chip with 1.2 trillion transistors designed to speed the training of neural networks

    Reply
  2. Tomi Engdahl says:

    Models that don’t exist. 100,000 free AI-generated headshots put stock photo companies on notice,
    For all your royalty-free photo needs.
    It’s getting easier and easier to use AI to generate convincing-looking, yet entirely fake, pictures of people. Now, one company wants to find a use for these photos, by offering a resource of 100,000 AI-generated faces to anyone that can use them — royalty free.

    https://icons8.com/articles/ai-generated-faces/

    Reply
  3. Tomi Engdahl says:

    Steve Lohr / New York Times:
    AI research increasingly requires datacenter-scale computation, raising concerns that only a few big tech companies will dominate advances in the field

    https://www.nytimes.com/2019/09/26/technology/ai-computer-expense.html

    Reply
  4. Tomi Engdahl says:

    Neural Network Smartens Up A Security System
    https://hackaday.com/2019/07/03/neural-network-smartens-up-a-security-system/

    It’s all well and good having a security camera recording all the time, but that alone can’t sound the alarm in the event of a crime. Motion sensing is of limited use, often being triggered by unimportant stimuli such as moving shadows or passing traffic. [Tegwyn☠Twmffat] wanted a better security system for the farm, and decided that neural networks would likely do the trick.

    The main component of the security system is a Raspberry Pi fitted with a camera and a Movidius Neural Compute Stick. This allows the Raspberry Pi to run real-time object identification on video.

    LoRa + Neural Network Security System
    Spot trespassers with a neural network and transmit basic results via LoRa
    https://hackaday.io/project/162667-lora-neural-network-security-system

    Reply
  5. Tomi Engdahl says:

    https://hackaday.com/2019/08/02/memristor-computing-on-a-chip/

    Memristors have been — so far — mostly a solution looking for a problem. However, researchers at the University of Michigan are claiming the first memristor-based programmable computer that has the potential to make AI applications more efficient and faster.

    Because memristors have a memory, they can accumulate data in a way that is common for — among other things — neural networks. The chip has both an array of nearly 6,000 memristors, a crossbar array, along with analog to digital and digital to analog converters. In fact, there are 486 DACs and 162 ADCs along with an OpenRISC processor.

    Reply
  6. Tomi Engdahl says:

    AI bias: How tech determines if you land job, get a loan or end up in jail
    https://www.usatoday.com/story/tech/2019/10/02/how-artificial-intelligence-bias-can-work-against-you/2417711001/

    AI helps determine whether you qualify for a loan or get to be considered for a job. How can it be fair when human bias gets programmed in?

    Reply
  7. Tomi Engdahl says:

    Raspberry Pi Foundation Launches Scratch-Powered Machine Learning Projects
    https://www.hackster.io/news/raspberry-pi-foundation-launches-scratch-powered-machine-learning-projects-553e469a33bb

    So far, the Foundation has launched five projects: Smart Classroom Assistant, which uses natural language processing to recognise commands and activate or deactivate an on-screen fan and light; Journey to School, which uses survey data to train a machine learning model to predict students’ routes to and from school; Alien Language, which turns sounds into commands for an on-screen character; and Did You Like It, which introduces the concept of sentiment analysis.

    Reply
  8. Tomi Engdahl says:

    Extra-trees classifiers could assign every operator on a network a reputation score, so serial hijackers could easily be identified from legitimate network providers.

    A Machine Learning Classifier Can Spot Serial Hijackers Before They Strike
    https://spectrum.ieee.org/tech-talk/telecom/internet/mit-and-caida-researchers-want-to-use-machine-learning-to-plug-one-of-the-internets-biggest-holes

    “BGP [hacking] is one way to sniff at traffic, or steal traffic,” says Cecilia Testart, a graduate student at MIT’s Computer Science and Artificial Intelligence Lab (CSAIL). ”Given that the Internet is becoming more and more critical, we should try and prevent these attacks.”

    Reply
  9. Tomi Engdahl says:

    Researchers have turned to artificial intelligence to build a system that can determine your emotional state using only wireless signals.

    EmoSense Uses AI to Determine Your Emotional State Based Only on How You Affect Wireless Signals
    https://www.hackster.io/news/emosense-uses-ai-to-determine-your-emotional-state-based-only-on-how-you-affect-wireless-signals-b98cd35289d3?d0f5722f11a0cc839fa2ca6ea49d8585

    Reply
  10. Tomi Engdahl says:

    “In 2019, the war for ML frameworks has two remaining main contenders: PyTorch (for research) and TensorFlow (for industry)” https://news.ycombinator.com/item?id=21216200

    Reply
  11. Tomi Engdahl says:

    MIT Creates World’s First Psychopath AI By Feeding It Reddit Violent Content
    https://techgrabyte.com/mit-psychopath-ai-reddit-violent-content/

    Reply
  12. Tomi Engdahl says:

    Machine learning as a service (MLaaS) is an umbrella definition of various cloud-based platforms that cover most infrastructure issues such as data pre-processing, model training, and model evaluation. With MLaaS you can start implementing ML initiative without much investment. Read our updated article where we compare the best MLaaS tools.

    Comparing Machine Learning as a Service: Amazon, Microsoft Azure, Google Cloud AI, IBM Watson
    https://www.altexsoft.com/blog/datascience/comparing-machine-learning-as-a-service-amazon-microsoft-azure-google-cloud-ai-ibm-watson/?utm_source=facebookads&utm_medium=cpc&utm_campaign=Mailchimplook

    Reply
  13. Tomi Engdahl says:

    Our friends over at Adafruit Industries have put together a handy tutorial on how to run TensorFlow within a browser, which is then able to take advantage of a smartphone, PC, or laptop camera to identify objects it sees.

    Gain Object Detection on Mobile Devices Using TensorFlow in a Browser
    https://www.hackster.io/news/gain-object-detection-on-mobile-devices-using-tensorflow-in-a-browser-0eca9101e9f5

    https://learn.adafruit.com/tensorflow-in-your-browser-object-detection-with-bounding-boxes?view=all

    Reply
  14. Tomi Engdahl says:

    MiniMax Algorithm
    http://theoryofprogramming.com/2017/12/12/minimax-algorithm/

    In this post we will look at one of the most basic Artificial Intelligence algorithm, the MiniMax algorithm. MiniMax algorithm is used to implement basic AI or game logic in 2 player games. The most common scenario is implementing a perfect Tic-Tac-Toe player. So, in this article we will look at how to implement it.

    Given that two players are playing a game optimally (playing to win), MiniMax algorithm tells you what is the best move that a player should pick at any state of the game.

    Reply
  15. Tomi Engdahl says:

    An AI system named BERT can beat humans on reading-comprehension tests. Does this mean that computers have solved language? Or are these programs just exploiting flaws in our tests? —from Quanta Magazine

    Machines Beat Humans on a Reading Test. But Do They Understand?
    https://www.quantamagazine.org/machines-beat-humans-on-a-reading-test-but-do-they-understand-20191017/

    A tool known as BERT can now beat humans on advanced reading-comprehension tests. But it’s also revealed how far AI has to go.

    Reply
  16. Tomi Engdahl says:

    TensorFlow in your browser: Object Detection with Bounding Boxes
    https://learn.adafruit.com/tensorflow-in-your-browser-object-detection-with-bounding-boxes?view=all

    Watch TensorFlow identify and box everyday objects using your phone or computer’s camera.

    Reply
  17. Tomi Engdahl says:

    3 Key Things to Help our Children Develop To Tackle the Imminent AI & Robotic Future
    https://www.imaworld.com/post/help_our_children_tackle_the_future

    Reply
  18. Tomi Engdahl says:

    AI and Machine Learning in Finance: Use Cases in Banking, Insurance, Investment, and CX
    https://www.altexsoft.com/blog/datascience/machine-learning-use-cases-in-finance/

    Reply
  19. Tomi Engdahl says:

    AI learned to use tools after nearly 500 million games of hide and seek
    https://www.technologyreview.com/s/614325/open-ai-algorithms-learned-tool-use-and-cooperation-after-hide-and-seek-games/

    OpenAI’s agents evolved to exhibit complex behaviors, suggesting a promising approach for developing more sophisticated artificial intelligence.

    Reply
  20. Tomi Engdahl says:

    Extra Crunch
    ‘People fix things. Tech doesn’t fix things.’
    The AI Now Institute is promoting accountability through ethics
    https://techcrunch.com/2019/10/21/people-fix-things-tech-doesnt-fix-things/?tpcc=ECFB2019

    Reply

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