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"Indeed, a recent working paper in the area of machine learning suggests that the simpler the algorithm, the more likely its outcome will further disadvantage already disadvantaged groups. In other words, our social relationships are complex, and our algorithms should be, too. But in the quest to streamline processes, they aren't always, and that can be a huge problem."

"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."

"To date, the presence of Babylon's GP surgery in London has forced the NHS to reallocate millions of pounds in funding to mitigate for the disruption it has caused. Its expansion plans have been blocked before being allowed to proceed. But concerns linger with clinicians questioning the GP surgery's impact and the effectiveness of its much-hyped artificial intelligence platform."

"Eric Leuthardt believes that in the near future we will allow doctors to insert electrodes into our brains so we can communicate directly with computers and each other."

"Apart from biases in the training databases, it's hard to know how well face-recognition systems actually perform in the real world, in spite of recent gains. Anil Jain, a professor of computer science at Michigan State University who has worked on face recognition for more than thirty years, told me, "Most of the testing on the private venders' products is done in a laboratory environment under controlled settings. In real practice, you're walking around in the streets of New York. It's a cold winter day, you have a scarf around your face, a cap, maybe your coat is pulled up so your chin is partially hidden, the illumination may not be the most favorable, and the camera isn't capturing a frontal view.""

"YouTube will rely more on machine learning and less on human reviewers during the coronavirus outbreak. Normally, algorithms detect potentially harmful content and send it to human reviewers for assessment. But these are not normal times, and in an effort to reduce the need for employees and contractors to come into an office, YouTube will allow its automated system to remove some content without human review."

"Why care? Because understanding manipulation is crucial in the current critical debate about digital technologies in moral philosophy and related disciplines."

"Where the researchers struck gold was by realising that a large (but not overly large pair of glasses) could act to "change the pixels" even in a real photo. By picking a pair of "geek" frames, with relatively large rims, the researchers were able to obscure about 6.5% of the pixels in any given facial picture. Printing a pattern over those frames then had the effect of manipulating the image."

"Computer scientists and machine learning researchers are tackling the pandemic the way they know how: compiling datasets and building algorithms to learn from them."

"The computers are connected into a kind of hive mind via a downloadable software, allowing the system to run calculations with greater speed and efficiency than any individual device. This is necessary to do the complex work of simulating how the proteins that make up the novel coronavirus behave and where there could be potential binding sites for drugs to latch on to."

""It literally is at a point now we've created tools that are ripping apart the social fabric of how society works. That is literally where we are. I would encourage all of you how to internalize this is - if you feed the beast, the beast will destroy you.""

"The company has revealed the latest evolution of the Captcha (short, sort of, for Completely Automated Public Turing test to tell Computers and Humans Apart), which aims to do away with any interruption at all: the new, "invisible reCaptcha" aims to tell whether a given visitor is a robot or not purely by analysing their browsing behaviour. Barring a short wait while the system does its job, a typical human visitor shouldn't have to do anything else to prove they're not a robot."

"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."

" "Why isn't my face being detected? We have to look at how we give machines sight," she said in a TED Talk late last year. "Computer vision uses machine-learning techniques to do facial recognition. You create a training set with examples of faces. However, if the training sets aren't really that diverse, any face that deviates too much from the established norm will be harder to detect.""

"The ships would use the internet of things - connecting a range of devices over the internet - to gather data, such as weather conditions and shipping information, and plot the shortest, most efficient and safest routes. By removing the potential for human error, the companies believe the technology could dramatically cut the number of accidents at sea."

"Instead, the new work shows our brains rely on the kind of maths that an algorithm might use to perform the task. In fact, Tsao and her colleague, Steven Le Chang, stumbled on their discovery while working on computer vision. The pair had initially set themselves the challenge of coming up with a way of reliably converting facial images into a numerical representation."