Information Technology


A new set of images that fool AI could help make it more hacker-proof

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Artificial intelligence is great at identifying objects in images, but it's still pretty easy to mess it up. Add a few choice strokes or layer in some static noise invisible to the human eye, and you can throw off an image recognition system, sometimes to deadly effect. Adding stickers to a stop sign can make a self-driving car believe the sign is posting a 45-mile-per-hour speed limit, for example, while adding them to a road can make a Tesla swerve into the oncoming traffic lane. You win some, you lose some.)


Do You Trust This Computer? (A Reaction Paper)

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This documentary projects the effects and dangers of Artificial Intelligence (AI) developments for next generations. The video addresses lots of examples in both negative and positive dimensions for using and developing Artificial Intelligence. In my opinion, one of the most important messages of this movie is that speakers in the movie believe that the development of AI is beneficial but it could misuse in lots of malicious areas. Example of that might be within war machines or development of mass destruction weapons which could seriously jeopardize our lives. The message of this movie is clearly states that machines can easily reproduce and duplicate themselves therefore development of full AI could spell the end of the human race.


Artificial Intelligence in Content: Know the Ropes

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Artificial Intelligence or AI--a word which is not a buzzword anymore but still is the "best thing since the sliced bread". So it's no surprise that AI has caught people's attention and is a major point of discussion. These days artificial intelligence sees application in almost everything imaginable--even content. But, are you utilizing it to the best of its capabilities? Marketers who have used Artificial Intelligence for their content are successfully attracting their relevant target audience and ranking well on Google SERPs.


'Google brain' implants could end school as anyone can learn anything instantly

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"GOOGLE brain" implants could mean the end of school – as anyone will be able to learn anything instantly, says an artificial intelligence expert. In an interview with the Daily Star, he explained that he has been working on a revolutionary AI to "personalise education" to enable "anyone can learn almost anything, using AI". And he believes that within the next two decades, our heads will be boosted with special implants, so "you won't need to memorise anything". He told the Daily Star that people won't have to bother typing any questions, as any queries will be answered immediately from "an AI implant", which will result in the end of "parrot fashion" learning at schools. The expert, who has racked up more than 20 years of working with start-ups, adds: "Google will be in your head, and that's not far-fetched. It'll be like having a really smart assistant that will almost think like you."


IIC Richard Soley talks about Industrial Internet, AI, and the future of distributed computing

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From flying vehicles to smart buildings, this year's IoTSWC will bring the best industrial internet solutions to Barcelona. The Industrial Internet Consortium (IIC) is the leading organization promoting Industry 4.0 in the US. During the last five years, together with Fira Barcelona, it has been organizing the IoT Solutions World Congress (IoTSWC), the leading conference of industrial IoT. Dr. Richard Soley is the Executive Director of the Industrial Internet Consortium and is responsible for the vision and direction of the organization. In addition to this role, Dr. Soley is Chairman and CEO of the Object Management Group (OMG) – an international, nonprofit computer industry standards consortium -- and Executive Director of the Cloud Standards Customer Council – an end-user advocacy group.


Data Science for Public Policy: How I Fake My Way Through Imposter Syndrome - Medium

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Three years ago, if you told me that one day I would use python to analyze AI policy and make Guido van Rossum chuckle, I would think you are crazy. Three years later at PyCon 2019 in Cleveland, that's exactly what happened. I was by no means a tech person. I was trained as an economist (read: stats nerd), but somehow for the past three years I've been writing analysis on deep-tech fields including AI and 5G. What I hope to achieve with this post is not #humblebrag (ok, maybe a little happy dance) but to share with you all the struggles I had and am still experiencing on a daily basis and to reassure a fellow researcher somewhere feeling that he/she is faking it all the time, you are not alone.


Smart Home Privacy: What You Need to Know

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In my last article, How to Use AI to Control Your Smart Home, I discussed the changes coming to residential automation with the introduction of AI and processing performed in the cloud. This is bringing advances to smart homes that were the dreams of science fiction only a few years ago. However, with great power comes great responsibility and there is a dark side to the power of AI in a home; privacy. Anyone watching the news is aware of the near-daily headline of privacy fiascos by major technology corporations. Unfortunately, some of these are the same corporations that are delivering a number of the most advanced AI products for smart homes.


The Future of Work is Now

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It wasn't too long ago work looked like exactly what you would expect: an open office space with desks and/or cubicles lining the walls or throughout the space. Conference rooms were nearby and the break room was always bustling. The people in charge were older and more experienced. Those lower on the ladder were younger and focused. Some were climbing the corporate ladder while others held it in place for them.


Global Big Data Conference

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The field of artificial intelligence is exploding with projects such as IBM Watson, DeepMind's AlphaZero, and voice recognition used in virtual assistants including Amazon's Alexa, Apple's Siri, and Google's Home Assistant. Because of the increasing impact of AI on people's lives, concern is growing about how to take a sound ethical approach to future developments. Building ethical artificial intelligence requires both a moral approach to building AI systems and a plan for making AI systems themselves ethical. For example, developers of self-driving cars should be considering their social consequences including ensuring that the cars themselves are capable of making ethical decisions. Here are some major issues that need to be considered.


Where the Rubber Meets the Road: Implementing AI in Commercial Insurance

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A few weeks ago, I had the opportunity to demo Chisel AI's Submission Triage and Policy Check solutions at Digital Insurance's Dig In conference in Austin. In speaking with commercial insurance brokers and carriers at the event, a common theme was how to get artificial intelligence implemented. Insurers understand the necessity of innovation in their industry and are excited about the potential benefits of AI in streamlining workflows and improving the digital customer experience. But they have valid questions about how to deploy an AI solution in production, and what a successful AI rollout looks like in the real world. According to a new report conducted by CompTIA, a mere 19 percent of companies say that they have expert knowledge around AI.