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Worrying About Artificial Intelligence Starting a Nuclear War: Eye on A.I.

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An organization that won the Nobel Prize in 2017 for its work to eliminate nuclear weapons is sounding the alarm about the possibility of artificial intelligence leading to unintended wars. Beatrice Fihn, executive director of the International Campaign to Abolish Nuclear Weapons, is worried that hackers could breach A.I. technologies that are used in nuclear programs or that they could use A.I. to dupe countries into launching attacks. For example, deepfakes, or realistic-looking computer-altered videos, may be used to "create a perceived threat that might not be there," she warns, prompting governments to overreact. Fihn told Fortune that she wants to convene a meeting in the fall with nuclear weapons experts and some of the leading companies in A.I. and cybersecurity. Participants in the off-the-record event, she said, would produce a document that her group would use to inform governments and others about the danger.


Is Google creating a voice-activated search engine for TODDLERS?

Daily Mail - Science & tech

Google is potentially creating a search engine for toddlers, despite recent privacy scandals. The tech giant has filed a European patent, entitled Gamifying Voice Search Experience for Children, which gives it exclusive rights to develop the concept. Aimed at nursery-age youngsters, the prospective product would use a child-friendly bubble-interface to engage with infants. This would be separate to Google Assistant, which already allows people to conduct voice-activated searches on their devices. However, education experts have raised concerns over the risk of potential privacy violations, such as those associated with Amazon's Echo Device, plus the dangers of making children addicted to technology.


Google bought my friend's face for $5 ZDNet

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My engineer friend George is taking a break to work on himself. Personally, I've always liked him the way he is, but he insists that he could and should be better. Did I mention he's an engineer? So he spends his time taking esoteric self-help classes and sitting around New York, watching his fellow humans help themselves to the joys of summer life. Occasionally, people come up to him and chat.


Artificial Intelligence – Implementation of GAN - Amazing Images and Artwork

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Artificial Intelligence (AI) is not considered just an emerging technology with a bright future, it is indeed a robust growing platform, impacting several industries and touching numerous spheres of life. AI algorithms need enormous volumes of datasets to be trained appropriately, after which the system can not only decipher pictures, such as recognizing a dog is a dog or differentiating a chair from a table, it can also generate original images and create exceptionally amazing artistry of quality associated with those of Picasso or Michelangelo. AI model that makes it possible has matured substantially over the recent years and it produces perfect output for certain applications but needs more refinement in other cases. Computer scientists have spent around two decades to teach, train and build machines which can visualize the world around them, a normal skill that humans take for granted, yet it's one that's highly challenging to train a machine to do, kudos to artificial intelligence for making it possible!! Two major ground-breaking improvements in AI image processing have been facial-recognition technology in both retail and security, as well as image generation in all fields of art. The commercialized usage of facial recognition technology is to improve sales and marketing of products including efficient targeting of audience.


The AI Gender Gap

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In the past few years, machine learning (ML) has become commercially successful and AI firmly established as a field. With its success, more attention is being paid specifically to the gender gap in AI. Compared to the general population, men are overrepresented in technology. While this has been the case for several decades, the opposite was true in the early days of computing when programming was considered a woman's job. Diversity has been shown to lead to good business outcomes like improved revenue.


Why an "AI Race" Between the U.S. and China Is a Terrible, Terrible Idea

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AI, which is supposed to stand for "artificial intelligence," now spans applications from cameras to the military to medicine. One thing we can be sure about AI -- because we are told it so often and at so increasingly high a pitch -- is that whatever it actually is, the national interest demands more of it. And we need it now, or else China will beat us there, and we certainly wouldn't want that, would we? What does it look like, how would it work, and how would it change our society? The race is on, and if America doesn't start taking AI seriously, we're going to find ourselves the losers in an ever-widening Dystopia Gap.


AI and understanding semantics, next stage in evolution of NLP is close

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AI is a misnomer, or so it is often suggested. The first letter -- artificial -- is about right. As for the second word -- well, there is nothing intelligent about it. Take semantics as an example, there is nothing remotely intelligent, or otherwise, about artificial technology understanding the meaning in sentences, paragraphs and books for the simple reason, it is unremittingly bad at it. But could this be about to change?


Pursuing Artificial Intelligence/Machine Learning Digital Innovation

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As the world is moving to digitalization, you may be wondering, "how do we plan to go about this?" Related questions that you may also wonder are how to gather and generate digital innovation opportunities across the enterprise, and then determine which opportunities to pursue. Today, we are going to address these questions and provide thought leadership on strategies that you can adopt. To make this meaningful, I have used the healthcare/bio-pharma industry as a backdrop. However, the suggested techniques are broadly applicable across many industries. Digital disruption and innovation can be fostered when an appropriate environment is created.


Google and Our Collective AI Future

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The pace of change in the artificial intelligence (AI) and machine learning arena is already breathtaking, and it promises to continue to upend conventional wisdom and surpass some of our wildest expectations as it proceeds on what appears at times to be an unalterable and pre-ordained course. Along the way, much of what we now consider to be "normal" or "acceptable" will change. Some technology companies are already envisioning what our collective AI future will look like and just how far the boundaries of normality and acceptability can be stretched. In 2016, for example, Google produced a video that provided a stunningly ambitious and unsettling look at how some people within the company envision using the information it collects in the future. Shared internally at the time within Google, the video imagines a future of total data collection, where Google subtly nudge users into alignment with the company's own objectives, custom-prints personalized devices to collect more data, and even guides the behavior of entire populations to help solve global challenges such as poverty and disease.


How To Leverage Blockchain For Making Machine Learning Models More Accessible?

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Machine learning is highly pervasive today so much so that we use it a dozen times a day without even realizing. Machine learning involves getting computers to learn, think, and act on their own without human interference. As described by Google, "Machine learning is the future." With an increasing number of humans becoming addicted to their machines, the future of machine learning looks very bright. We are indeed witnesses to a new revolution which is taking over the world owing to its immense potential.