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How Can AI In Mobile Technology Improve Security?

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AI has created a great impact on human interaction with machines & devices. AI is a short form of Artificial Intelligence. AI has become a great inspirational source of an interaction of the human with machines and devices. AI has improved the customers experience greatly in every aspect, whether it is Travel, Utility, Advertisement, Machinery or Telecom industry. Talking more about AI it is more than a smart technology.


Debunking The Myths And Reality Of Artificial Intelligence

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Intelligence should be "distributed" where "knowledge" is created and "decisions" are made A few years ago, it was hard to find anyone to have a serious discussion about Artificial Intelligence (AI) outside academic institutions. Like any new major technology trend, the new wave of making AI and intelligent systems a reality is creating curiosity and enthusiasm. People are jumping on its bandwagon adding not only great ideas but also in many cases a lot of false promises and sometimes misleading opinions. Built by giant thinkers and academic researchers, AI adoption by industries and further development in academia around the globe is progressing at a faster rate than anyone had excepted. Accelerated by the strong belief that our biological limitations are increasingly becoming a major obstacle towards creating smart systems and machines that work with us to better use our biological cognitive capabilities to achieve higher goals. This is driving an overwhelming wave of demands and investments across industries to apply AI technologies to solve real-world problems and create smarter machines and new businesses.


Forget about artificial intelligence, extended intelligence is the future

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Last year, I participated in a discussion of The Human Use of Human Beings, Norbert Weiner's groundbreaking book on cybernetics theory. Out of that grew what I now consider a manifesto against the growing singularity movement, which posits that artificial intelligence, or AI, will supersede and eventually displace us humans. The notion of singularity – which includes the idea that AI will supercede humans with its exponential growth, making everything we humans have done and will do insignificant – is a religion created mostly by people who have designed and successfully deployed computation to solve problems previously considered impossibly complex for machines. They have found a perfect partner in digital computation, a seemingly knowable, controllable, machine-based system of thinking and creating that is rapidly increasing in its ability to harness and process complexity and, in the process, bestowing wealth and power on those who have mastered it. In Silicon Valley, the combination of groupthink and the financial success of this cult of technology has created a feedback loop, lacking in self-regulation (although #techwontbuild, #metoo and #timesup are forcing some reflection).


This colorful printed patch makes you pretty much invisible to AI

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The rise of AI-powered surveillance is extremely worrying. The ability of governments to track and identify citizens en masse could spell an end to public anonymity. But as researchers have shown time and time again, there are ways to trick such systems. The latest example comes from a group of engineers from the university of KU Leuven in Belgium. In a paper shared last week on the preprint server arXiv, these students show how simple printed patterns can fool an AI system that's designed to recognize people in images.


Could Machine Learning Be the Key to Earthquake Prediction?

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Five years ago, Paul Johnson wouldn't have thought predicting earthquakes would ever be possible. "I can't say we will, but I'm much more hopeful we're going to make a lot of progress within decades," the Los Alamos National Laboratory seismologist says. "I'm more hopeful now than I've ever been." The main reason for that new hope is a technology Johnson started looking into about four years ago: machine learning. Many of the sounds and small movements along tectonic fault lines where earthquakes occur have long been thought to be meaningless.


Machine Learning for Drug Discovery Using the Google Kubernetes Engine - The New Stack

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With Kafka Streams, if something breaks, it just picks up right where it left off. We can write distributed applications without having to worry about all the typical worries that engineers at Confluent have already dealt with." In addition to the usual machine-learning challenges, one of the challenges Recursion is trying to solve is cultural / organizational. "One of the things that makes us really unique, especially in the biotech space, is that we're very collaborative and cross-function in our teams," Mabey says. "Our data scientists are working side-by-side with our software engineers and our biologists." This creates technical challenges, too -- and technical solutions. "In some stacks, you'll see engineers taking data scientists' work in Python and recoding it in Java.


4 Mind Blowing Chatbots You Have To Know About

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Casper's chatbot Insomnobot 3000 talks to the insomniacs when the rest of the world sleeps away. Insonmobot 3000 catches our attention because the use-case it represents is exceptionally creative and exciting. Though still in its elementary stage, its dialogs are full of tongue-in-cheek humor that you wouldn't want the conversation to end. Google definition of dementia more or less defines the disease as a group of conditions resulting in memory loss and judgment. Looking at the vast number of people getting affected by dementia, a Russian company Endurance has launched an open-source project on development of a chatbot for Alzheimer patients.


Why AI for GIS Is still under the radar

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Since ancient times, people have used maps to find their way, divide territories as well as learn about distant places. As technology progressed, maps transformed from scrolls and murals into digital repositories. In their high-tech form, such records can hold different layers of information, thus overlapping more items into one. The entire system necessary to assemble, store, update and display such information is called a Geographical Information System (GIS). A GIS includes the hardware, software, and know-how to combine geography and information management.


Twitter Confirms Machine Learning has Helped to Identify and Remove Abusive Tweets Significantly

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Twitter, Inc. announced financial results for its first quarter 2019. "We are taking a more proactive approach to reducing abuse and its effects on Twitter," said Jack Dorsey, Twitter's CEO. "We are reducing the burden on victims and, where possible, taking action before abuse is reported. For example, we are now removing 2.5x more Tweets that share personal information and 38% of abusive Tweets that are taken down every week are being proactively detected by machine learning models. We're also continuing our work to make Twitter more conversational via the launch of our public prototype app (twttr), with the end goal of making conversation on Twitter feel faster, more fluid, and more fun."


Digital Billboards Open-up Advertising To Blockchain, Artificial Intelligence, And Cryptocurrency

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Don Draper and his crew of alpha males all trying to innovate and stay atop the cutthroat world of advertising. These stories of advertising greatness have been played out in AMC's award-winning drama series Mad Men. But the glory days of advertising have come and gone, yet the space has never been more significant, more influential, and powerful. Advertising is one of the biggest industries in the world and accounts for a lot of influence and direction. Advertising can stay up to date and on the cutting edge, evolving at every turn; that is what has helped it explode exponentially since the 60s.