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"The conference acquired 30 machines for hackers to toy with. Every voting machine in the village was hacked. Though voting machines are technologically simple, they are difficult for researchers to obtain for independent research."

"An automated process is better-suited for a variety of other machine-readable forms of identification, said Vahid Motevalli, a professor at Tennessee Tech University and a flight security expert. For example, a person can't read bar codes, but even if they could, they wouldn't be as efficient as an automated process. A machine can almost always check in more people per hour than a security official, meaning security lines would move much faster."

"FOLLOW US Twitter / Facebook / RSS Machine learning image classifiers use context clues to help understand the contents of a room, for example, if they manage to identify a dining-room table with a high degree of confidence, that can help resolve ambiguity about other objects nearby, identifying them as chairs. The downside of this powerful approach is that it means machine learning classifiers can be confounded by confusing, out-of-context elements in a scene, as is demonstrated in The Elephant in the Room, a paper from a trio of Toronto-based computer science academics."

"AI is already here. This isn't some future, theoretical technology we are working on. AI machines are already among us. Take for example Microsoft's recent security robot demonstration. Called the K5, these autonomous machines stand 5 feet tall, weigh 300 pounds, and are equipped with HD cameras, sensors, alarms, Wi-Fi and - you guessed it - artificial intelligence. These machines have been programmed to recognize if something is out of place, like an injured employee or a potential trespasser. And as technology improves, the K5 will become more capable of recognizing even smaller discrepancies than humans can."

"Expert Moshe Vardi told the American Association for the Advancement of Science (AAAS): "We are approaching a time when machines will be able to outperform humans at almost any task. "I believe that society needs to confront this question before it is upon us: if machines are capable of doing almost any work humans can do, what will humans do?""

""Could teaching be trumped by a learning machine? Are we beginning to glimpse the possibility of machines that teach themselves to teach? They learn what works, what doesn't and deliver ever better performance. We see the embryonic evidence for this in adaptive learning systems, that are truly algorithmic, and do use machine learning, to improve as they deliver. The more students they teach, the better they get. They even tech themselves. This is not science fiction. This is real AI, in real software, delivering real courses, in real institutions." - Donald Clark"

"What you may not realize, though, is that machine learning is already all around you, and it can exert a surprising degree of influence over your life. Don't believe me? You might be surprised."

"Now, by my estimates, the half-life of a career is about 10 years. I expect that it will decrease, within a decade, to five years. Advancing technologies will cause so much disruption to almost every industry that entire professions will disappear. And then, in about 15-20 years from now, we will be facing a jobless future, in which most jobs are done by machines and the cost of basic necessities such as food, energy and health care is negligible - just as the costs of cellphone communications and information are today. "

"At Imperial College London, Murray Shanahan and colleagues are working on a way around this problem using an old, unfashionable technique called symbolic AI. "Basically this meant an engineer labelled everything for the AI," says Shanahan. His idea is to combine this with modern machine learning. Symbolic AI never took off, because manually describing everything quickly proved overwhelming. Modern AI has overcome that problem by using neural networks, which learn their own representations of the world around them. "They decide what is salient," says Marta Garnelo, also at Imperial College."

"Writing about Artificial Intelligence is a challenge. By and large, there are two directions to take when discussing the subject: focus on the truly remarkable achievements of the technology or dwell on the dangers of what could happen if machines reach a level of Sentient AI, in which self-aware machines reach human level intelligence). "

"As soon as 20 years from now, 45 percent of American jobs may be performed by computers, as many as 10 million self-driving cars will be on the roads, and robots-computerized machines-will infiltrate almost every arena of our daily lives, from healthcare to energy production."

"Unskilled manual laborers have felt the pressure of automation for a long time - but, increasingly, they're not alone. The last few years have been a bonanza of advances in artificial intelligence. As our software gets smarter, it can tackle harder problems, which means white-collar and pink-collar workers are at risk as well. Here are eight jobs expected to be automated (partially or entirely) in the coming decades. Call Center Employees call-center Telemarketing used to happen in a crowded call center, with a group of representatives cold-calling hundreds of prospects every day. Of those, maybe a few dozen could be persuaded to buy the product in question. Today, the idea is largely the same, but the methods are far more efficient. Many of today's telemarketers are not human. In some cases, as you've probably experienced, there's nothing but a recording on the other end of the line. It may prompt you to "press '1' for more information," but nothing you say has any impact on the call - and, usually, that's clear to you. But in other cases, you may get a sales call and have no idea that you're actually speaking to a computer. Everything you say gets an appropriate response - the voice may even laugh. How is that possible? Well, in some cases, there is a human being on the other side, and they're just pressing buttons on a keyboard to walk you through a pre-recorded but highly interactive marketing pitch. It's a more practical version of those funny soundboards that used to be all the rage for prank calls. Using soundboard-assisted calling - regardless of what it says about the state of human interaction - has the potential to make individual call center employees far more productive: in some cases, a single worker will run two or even three calls at the same time. In the not too distant future, computers will be able to man the phones by themselves. At the intersection of big data, artificial intelligence, and advanced

"No arguments there, but the term, which stands for "artificial intelligence", has a more storied history than Spielberg and Kubrick's 2001 film. The concept of artificial intelligence goes back to the birth of computing: in 1950, just 14 years after defining the concept of a general-purpose computer, Alan Turing asked "Can machines think?""

"Google has pledged to continue developing advanced programs using machine learning to combat the rise of extremist content, after it found that it was both faster and more accurate than humans in scrubbing illicit content from YouTube."

AI and machine learning, combined with the science of turning data into insightful information (aka data science), have become more important than ever in the "new normal" to guide innovation based on new market trends and consumer preferences This article was published in thejakartapost.com with the title "How artificial intelligence helps firms stay relevant amid pandemic - Opinion - The Jakarta Post". Click to read: https://www.thejakartapost.com/academia/2020/09/21/how-artificial-intelligence-helps-firms-stay-relevant-amid-pandemic.html. Download The Jakarta Post app for easier and faster news access: Android: http://bit.ly/tjp-android iOS: http://bit.ly/tjp-ios

"It's not that Google wants to do this, it's that they didn't anticipate this outcome, and compounded that omission by likewise omitting a way to overrule the algorithm's judgment. As with other examples of algorithmic cruelty, it's not so much this specific example as was it presages for a future in which more and more of our external reality is determined by models derived from machine learning systems whose workings we're not privy to and have no say in. "

"The baby automaton joins a growing list of companion robots, such as the upcoming Jibo - designed by robotics experts at the Massachusetts Institute of Technology and resembling a swivelling lamp - and Paro, a robot baby seal marketed by Japanese company Intelligent System as a therapeutic machine to soothe elderly dementia sufferers. Around a quarter of Japan's population is over 65 with a dearth of care workers putting a strain on social services."

"A robot that can decide whether or not to inflict pain has been built by roboticist and artist Alexander Reben from the University of Berkeley, California. The basic machine is capable of pricking a finger but is programmed not to do so every time it can."

""Considering that just 10 years ago, China claimed a mere 28 systems on the list, with none ranked in the top 30, the nation has come further and faster than any other country in the history of supercomputing," said Top500. The US has four supercomputers in the top 10 of the Top500 list, while China has two which currently occupy the top two places. The other positions in the top 10, published twice a year, are occupied by machines from Japan, Switzerland, Germany and Saudi Arabia."

"If humans want to continue to add value to the economy, they must augment their capabilities through a "merger of biological intelligence and machine intelligence". If we fail to do this, we'll risk becoming "house cats" to artificial intelligence."