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,”

1,955 Comments

  1. Tomi Engdahl says:

    https://www.hackster.io/news/get-your-wires-crossed-with-spinenet-a45ed448f9ad

    A scale-permuted convolutional neural network can improve object detection performance.

    Reply
  2. Tomi Engdahl says:

    Lattice sensAI 3.0 for on-device AI processing at the edge leverages customized convolutional neural network (CNN) accelerator IP for the low-power 28-nm FD-SOI-based CrossLink-NX family of FPGAs. The stack simplifies implementation of common CNN networks and is optimized to take advantage of the underlying parallel processing architecture of the FPGA. Developers can easily compile a trained neural network model and download it to a CrossLink-NX FPGA.
    https://www.edn.com/ai-stack-adds-cnn-accelerator-ip/?utm_source=newsletter&utm_campaign=link&utm_medium=EDNWeekly-20200709

    Reply
  3. Tomi Engdahl says:

    REGULATION
    Pentagon’s Joint AI Center (JAIC) Testing First Lethal AI Projects
    https://www.unite.ai/pentagons-joint-ai-center-jaic-testing-first-lethal-ai-projects/

    The new acting director of the Joint Artificial Intelligence Center (JAIC), Nand Mulchandani, gave his first-ever Pentagon press conference on July 8, where he laid out what is ahead for the JAIC and how current projects are unfolding.

    One of the Pentagon’s main objectives was to have algorithms implemented into “warfighting systems” by the end of 2017.

    The proposal was met by strong opposition,

    According to Mulchandani, that dynamic has changed and the JAIC is now receiving support from tech firms

    Termed JAIC 2.0, the new plan includes six mission initiatives that are all underway, including joint warfighting operations, warfighter health, business process transformation, threat reduction and protection, joint logistics, and the newest one, joint information warfare. The latest addition includes cyber operations.

    There is special focus now being turned to the joint warfighting operations mission, which adopts the priorities of the National Defense Strategy in regard to technological advances in the United States military.

    “I don’t want to start straying into issues around autonomy and lethality versus lethal — or lethality itself. So yes, it is true that many of the products we work will go into weapon systems.”

    “None of them right now are going to be autonomous weapon systems

    Reply
  4. Tomi Engdahl says:

    OpenCV AI Kit aims to do for computer vision what Raspberry Pi did for hobbyist hardware
    https://techcrunch.com/2020/07/14/opencv-ai-kit-aims-to-do-for-computer-vision-what-raspberry-pi-did-for-hobbyist-hardware/?tpcc=ECFB2020

    A new gadget called the OpenCV AI Kit, or OAK, looks to replicate the success of Raspberry Pi and other minimal computing solutions, but for the growing fields of computer vision and 3D perception. Its new multi-camera PCBs pack a lot of capability into a small, open-source unit and are now seeking funding on Kickstarter.

    The OAK devices use their cameras and onboard AI chip to perform a number of computer vision tasks, like identifying objects, counting people, finding distances to and between things in frame and more. This info is sent out in polished, ready-to-use form.

    Like the Raspberry Pi, which has grown to become the first choice for hobbyist programmers dabbling in hardware, pretty much everything about these devices is open source on the permissive MIT license. And it’s officially affiliated with OpenCV, a widespread set of libraries and standards used in the computer vision world.

    https://www.kickstarter.com/projects/opencv/opencv-ai-kit

    Reply

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