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"The Wealth of Nations, by Adam Smith, should be a required reading for every head of state. What took 17 years to be written and transformed the whole world, takes only a few days to read it. Right in the first page Smith asserts that the wealth of "every nation… [is] regulated by two different circumstances; first by the skill, dexterity, and judgment with which its labour is generally applied; and, secondly, by the proportion between the number of those who are employed in useful labour,""

"Microsoft has pulled its latest Windows 10 update offline after some users complained of missing files. It's the latest in a string of incidents with regular patches and Microsoft's larger Windows 10 updates that have been causing issues for some PC users this year. While Microsoft tests Windows 10 with millions of beta testers, there are signs that this public feedback loop isn't always working. Earlier this year Microsoft delayed its April 2018 Windows 10 update due to last minute Blue Screen of Death issues, and then had to fix desktop and Chrome freezing issues after it was shipped to more than 600 million machines. "

"In Neural Photo Editing With Introspective Adversarial Networks, a group of University of Edinburgh engineers and a private research colleague describe a method for using "introspective adversarial networks" to edit images in realtime, which they demonstrate in an open project called "Neural Photo Editor" that "enhances" photos by predicting what should be under your brush."

"Then came the algorithm, which used automatic speech recognition to detect specific features and patterns in each of the 48 recordings. It was clear from examining the waveforms of the cries that each category had a specific pattern."

"And these machines' vulnerabilities to hacking are "terrifying", Sarah Teale, co-director along with Simon Ardizzone and Russell Michaels, told the Guardian. America's current election infrastructure is, as Kill Chain explains, a prescription for disaster - an outdated, willfully naive system no more prepared for attack than four years ago."

"Scientists have taken a step forward in their ability to decode what a person is saying just by looking at their brainwaves when they speak."

"According to Folding@Home, the organisation that runs the distributed computing effort, the combined power of the network broke 1,000,000,000,000,000,000 operations per second - or one "exaflop" - on 25 March."

"In the future, the team predict the software could also learn the appropriate emotion to express at a given time. "It could be mostly empathic," said Huang, adding that a challenge would be to avoid the chatbot reinforcing negative feelings such as rage."

"Researchers from MIT and Google recently showed off a machine learning algorithm capable of automatically retouching photos just like a professional photographer. Snap a photo and the neural network identifies exactly how to make it look better-increase contrast a smidge, tone down brightness, whatever-and apply the changes in less than 20 milliseconds."

"Robots will begin replacing teachers in the classroom within the next 10 years as part of a revolution in one-to-one learning, a leading educationist has predicted. Sir Anthony Seldon, vice-chancellor of the University of Buckingham, said intelligent machines that adapt to suit the learning styles of individual children would soon render traditional academic teaching all but redundant."

"Lexplore claims its technology is new-particularly the algorithm that separates typical from atypical readers. But the concepts it's based on aren't. Its tech draws from a deep well of previously-conducted research stretching back decades, which is generally supportive of using a combination of eye tracking and machine learning to screen for dyslexia. "Eye movements is one of the best ways to index reading ability at an incredibly in-depth level," says Julie Kirkby, a psychology professor at Bournemouth University in the United Kingdom, who has studied eye tracking and dyslexia for years."

"When the field of AI believes it is neutral, it both fails to notice biased data and builds systems that sanctify the status quo and advance the interests of the powerful. What is needed is a field that exposes and critiques systems that concentrate power, while co-creating new systems with impacted communities: AI by and for the people."

"We want to start a conversation about emotion recognition technology. Explore the site, watch the video, play a game and add your thoughts to our research. Or turn on your camera to activate our very own emotion recognition machine...will it 'emojify' you? "

"GPT-3 medical chatbot tells suicidal test patient to kill themselves"

"White-collar workers, armed with college degrees and specialized training, once felt relatively safe from automation. But recent advances in A.I. and machine learning have created algorithms capable of outperforming doctors, lawyers and bankers at certain parts of their jobs. And as bots learn to do higher-value tasks, they are climbing the corporate ladder."

"In 2015, a research group fed an AI system called Deep Patient health and medical data from some 700,000 people, and tested whether it could predict diseases. It could, but Deep Patient provides no explanation for the basis of a diagnosis, and the researchers have no idea how it comes to its conclusions. A doctor either can either trust or ignore the computer, but that trust will remain blind."

"Over the Bridge hopes the project emphasizes exactly how much work goes into creating AI music. "There's an inordinate amount of human hands at the beginning, middle and end to create something like this," explained Michael Scriven, a rep for Lemmon Entertainment whose CEO is on Over the Bridge's board of directors. Scriven added, "A lot of people may think [AI] is going to replace musicians at some point, but at this point, the number of humans that are required just to get to a point where a song is listenable is actually quite significant.""

"It can be a tricky balance, especially as machines become more sophisticated. "Usually artificial intelligence systems are capable of coping better than humans because, as an example, they don't suffer from annoyance. They are infinitely patient, they don't care about wasting time," says Mauro Migliardi, associate professor at the University of Padua in Italy. He recently coauthored a paper summarizing 20 years of captcha versions and their effectiveness."