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"Selling data is as yet a small part of Twitter's overall income - $70m out of a total of $1.3bn last year, with the lion's share of cash coming from advertising, but the social network has big plans to increase that. Its acquisition of Chris Moody's analytics company Gnip for $130m last April is a sign of that intent. Google and Facebook have built their businesses around sharing data, but their control of our private and public information has become a source of huge controversy. "

"A story on the site of the Japanese broadcaster NHK shows how this is playing out in the world of social networks. Online criticism of the behavior of the President of South Korea following the sinking of the ferry MV Sewol prompted the government to set up a team to monitor online activity. That, in its turn, has led people to seek what the NHK article calls "cyber-asylum" -- online safety through the use of foreign mobile messaging services, which aren't spied on so easily by the South Korean authorities. According to the NHK article: Many users have switched [from the hugely-popular home-grown product KakaoTalk] to a German chat app called Telegram. It had 50,000 users in early September. Now 2 million people have signed up."

"Re/code, a technology news website, was the first to float the North Korea theory last Friday. Citing unnamed sources familiar with the matter, it said: "Sony Pictures Entertainment is exploring the possibility that hackers working on behalf of North Korea, possibly operating out of China, may be behind a devastating attack that brought the studio's network to a screeching halt earlier this week … The sources stress that a link to North Korea hasn't been confirmed, but has not been ruled out, either.""

"Filter bubbles are certainly at work online around any big political event, agreed the panel. "Within your network - Twitter or Facebook or LinkedIn - you're probably within your own bubble of opinion," said Aiken."

"The US computer programmer came up with the idea of electronic messages that could be sent from one network to another in 1971. His invention included the ground-breaking use of the @ symbol in email addresses, which is now standard."

"Lyft announced Monday that it has partnered with automotive giant General Motors to create a network of self-driving cars that will one day in the distant (or not-too-distant future) be able to pick up and drop off passengers at the touch of a button on our phones - and likely put many of its drivers out of work."

"At the heart of the problem that troubles Ming is the training that computer engineers receive and their uncritical faith in AI. Too often, she says, their approach to a problem is to train a neural network on a mass of data and expect the result to work fine. She berates companies for failing to engage with the problem first - applying what is already known about good employees and successful students, for example - before applying the AI."

"showing how they can create a 40cm x 40cm "patch" that fools a convoluted neural network classifier that is otherwise a good tool for identifying humans into thinking that a person is not a person -- something that could be used to defeat AI-based security camera systems. They theorize that the could just print the patch on a t-shirt and get the same result."

"At their core, GANs consist of two networks: the generator and discriminator. These computer programs compete against each other millions-upon-millions of times to refine their image generating skills until they're good enough to create the full-fledged pictures."

"Westfield's Smartscreen network was developed by the French software firm Quividi back in 2015. Their discreet cameras capture blurry images of shoppers and apply statistical analysis to identify audience demographics. And once the billboards have your attention they hit record, sharing your reaction with advertisers. Quividi says their billboards can distinguish shoppers' gender with 90% precision, five categories of mood from "very happy to very unhappy" and customers' age within a five-year bracket."

"His program became the first of a particular type of cyber attack called "distributed denial of service," in which large numbers of internet-connected devices, including computers, webcams and other smart gadgets, are told to send lots of traffic to one particular address, overloading it with so much activity that either the system shuts down or its network connections are completely blocked."

"Second Life, Thinking Worlds, Unity3D and others were all making inroads into the realm of corporate learning and there was a buzz about it in the L&D market, which, at the time, had a reputation for churning out spectacularly boring and poorly designed compliance-based eLearning. One major mobile phone network with whom I worked back in 2008 had a vision of enlivening their learner experience by providing a 3D avatar-based portal into their learning management system, which at the time hosted solidly 2D page-turner eLearning of a very pedestrian nature."

"Hackers have attacked networks in a number of countries including data centres in Iran, where they left the image of a US flag on screens along with a warning: "Don't mess with our elections", the Iranian IT ministry said on Saturday. "The attack apparently affected 200,000 router switches across the world in a widespread attack, including 3,500 switches in our country," the Ministry of Communication and Information Technology said in a statement carried by Iran's official news agency IRNA"

"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."

"Neural networks can find telltale patterns in a person's gait that can be used to recognize and identify them with almost perfect accuracy, according to new research published in IEEE Transactions on Pattern Analysis and Machine Intelligence. The new system, called SfootBD, is nearly 380 times more accurate than previous methods, and it doesn't require a person to go barefoot in order to work. It's less invasive than other behavioral biometric verification systems, such as retinal scanners or fingerprinting, but its passive nature could make it a bigger privacy concern, since it could be used covertly."

"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."

"As hospitals face a surge in patients and critical equipment shortages stemming from the coronavirus pandemic, they are increasingly becoming the target of hackers who see health care facilities as easy prey. Ransomware attacks, in which hackers lock up a network and demand payment to return access to these systems, have presented a growing threat to hospitals since January. "

"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."

"Facebook has detailed the steps it's taking to get help for people who need it. Which involves using artificial intelligence to "detect posts or live videos where someone might be expressing thoughts of suicide," identifying appropriate first responders, and then employing more people to "review reports of suicide or self harm". The social network has been testing this system in the U.S. for the last month, and "worked with first responders on over 100 wellness checks based on reports we received via our proactive detection efforts." In some cases the local authorities were notified in order to help."

""Having a tamper-proof record-keeping system that can be shared across the vaccine supply chain is always important, but critically so here for the COVID vaccines," Harmon said. Hedera's chief executive believes that decentralized computer networks with hundreds or even thousands of participants can play an important role in other aspects of pandemic management - to combat vaccine counterfeiting, for example, and create unforgeable vaccination certificates."