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"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."

"In a paper titled "Towards Causal Representation Learning," researchers at the Max Planck Institute for Intelligent Systems, the Montreal Institute for Learning Algorithms (Mila), and Google Research discuss the challenges arising from the lack of causal representations in machine learning models and provide directions for creating artificial intelligence systems that can learn causal representations."

"Machines, it would seem, are about to get an awful lot chattier. And we've got our work cut out for us to make sure the conversation's meaningful."

"Learning from rewards seems like the simplest thing. I make coffee, I sip coffee, I'm happy. My brain registers "brewing coffee" as an action that leads to a reward. That's the guiding insight behind deep reinforcement learning, a family of algorithms that famously smashed most of Atari's gaming catalog and triumphed over humans in strategy games like Go. Here, an AI "agent" explores the game, trying out different actions and registering ones that let it win."

"In the last year, Facebook adjusted some of the most fundamental rules about what gets posted on its platform, halting algorithmic recommendations of political groups, banning lies about vaccines and removing a number of high-profile figures for spreading misinformation and hate - including Donald Trump. But researchers say the social media platform is not enforcing those policies as effectively when it comes to misinformation in Spanish - a blind spot that may prove deadly as health lies spread through the most vulnerable populations during the global vaccine effort."

"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."

"A "massive anti-vaccination campaign" has been cited by the European Commission as a reason for social media platforms to intensify their factchecking and revise the internal algorithms that can amplify disinformation. Under a revised code of practice proposed by Brussels, companies such as Facebook, Google and Twitter would need to show why particular material is disseminated and prove that false information is being blocked."

"Whereas most machine learning algorithms can't hone their skills beyond an initial training period, the researchers say the new approach, called a liquid neural network, has a kind of built-in "neuroplasticity." That is, as it goes about its work-say, in the future, maybe driving a car or directing a robot-it can learn from experience and adjust its connections on the fly."

"Will Knight wrote. "Last year, a strange self-driving car was released onto the quiet roads of Monmouth County, New Jersey… . The car didn't follow a single instruction provided by an engineer or programmer. Instead, it relied entirely on an algorithm that had taught itself to drive by watching a human do it. "Getting a car to drive this way was an impressive feat. But it's also a bit unsettling, since it isn't completely clear how the car makes its decisions…. What if one day it did something unexpected-crashed into a tree, or sat at a green light? As things stand now, it might be difficult to find out why." "

"The point of creating this vast portfolio of digital gun art is to feed an algorithm made to detect a firearm as soon as a security camera catches it being drawn by synthetically creating tens of thousands of ways each gun may appear. Arcarithm is one of several companies developing automated active shooter detection technology in the hopes of selling it to schools, hotels, entertainment venues and the owners of any location that could be the site of one of America's 15,000 annual gun murders and 29,000 gun injuries."

"YouTube viewers are being asked to become "watchdogs" and record their use of the site to help uncover the ways in which its recommendation algorithm can lead to online radicalisation."

""Employers are increasingly exploiting metadata logged by software and devices for performance analytics and algorithmic control," Christl added. "MS is providing the tools for it. Practices we know from software development (and factories and call centres) are expanded to all white-collar work.""

"Facebook has said it will start labelling misinformation about the climate crisis in a small trial limited to the UK. Labels will be attached to certain posts directing users to Facebook's Climate Science Information Center, a repository of fact-checked claims about the environment. The company has not yet said how it will decide which posts receive the label, but the process is similar to that used in the US election when it attempted to algorithmically discern posts that shared common myths or misconceptions, and appended a link taking users to a "voting information centre"."

"My job was to use technology to make the low-level content moderators' work more efficient. For example, we created a tool that allowed them to throw a video clip into our database and search for similar content. When I was at ByteDance, we received multiple requests from the bases to develop an algorithm that could automatically detect when a Douyin user spoke Uyghur, and then cut off the livestream session. The moderators had asked for this because they didn't understand the language. Streamers speaking ethnic languages and dialects that Mandarin-speakers don't understand would receive a warning to switch to Mandarin."

"That can include statistical or machine learning algorithms that rely on police records detailing the time, location, and nature of past crimes in a bid to predict if, when, where, and who may commit future infractions. In theory, this should help authorities use resources more wisely and spend more time policing certain neighborhoods that they think will yield higher crime rates."

"As the lava lamps bubble and swirl, a video camera on the ceiling monitors their unpredictable changes and connects the footage to a computer, which converts the randomness into a virtually unhackable code.  Why use lava lamps for encryption instead of computer-generated code? Since computer codes are created by machines with relatively predictable patterns, it is entirely possible for hackers to guess their algorithms, posing a security risk. Lava lamps, on the other hand, add to the equation the sheer randomness of the physical world, making it nearly impossible for hackers to break through."

"a word that does not exist; it was invented, defined and used by a machine learning algorithm. "

"But the technology raises important issues of governance, justice and fairness. In recent months, the Black Lives Matter movement has taken action to address what it sees as an abuse of police power and surveillance technology. Facing reputational and financial costs, several major tech companies stopped developing facial recognition or selling it to the police. Microsoft went as far as petitioning the US Congress to legislate against it."