"Google has developed and open-sourced a new JPEG algorithm that reduces file size by about 35 percent-or alternatively, image quality can be significantly improved while keeping file size constant. Importantly, and unlike some of its other efforts in image compression (WebP, WebM), Google's new JPEGs are completely compatible with existing browsers, devices, photo editing apps, and the JPEG standard."
""It marks an exciting moment for the field," said Demis Hassabis, DeepMind's founder and chief executive. "These algorithms are now becoming mature enough and powerful enough to be applicable to really challenging scientific problems."
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Venki Ramakrishnan, the president of the Royal Society, called the work "a stunning advance" that had occurred "decades before many people in the field would have predicted"."
"Twitter has admitted it amplifies more tweets from rightwing politicians and news outlets than content from leftwing sources.
The social media platform examined tweets from elected officials in seven countries - the UK, US, Canada, France, Germany, Spain and Japan. It also studied whether political content from news organisations was amplified on Twitter, focusing primarily on US news sources such as Fox News, the New York Times and BuzzFeed."
"The use for humans in the world of robotics, even as teachers, is shrinking thanks to AI. NVIDIA Research has announced the creation of Eureka, an AI agent powered by GPT-4 that has trained robots to perform tasks using reward algorithms. Notably, Eureka taught a robotic hand to do pen spinning tricks as well as a human can (honestly, as you can see in the YouTube video below, better than many of us)."
"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."
"Tristan Harris presents on 1) why humans as a species are vulnerable to technology, 2) why it's so hard to solve the issues of social media algorithms, artificial intelligence, and exponential tech, and 3) what it will take to come together to avoid these existential threats."
"From a computer science perspective, learning the behaviour of a single user is tough. This is the small data problem; unlike big data, where patterns and trends easily emerge, individual human beings can be unpredictable and can change behaviour, which is not helpful for pattern-hunting algorithms."
"The main rationale for increasing state surveillance was to tackle the pandemic effectively to save people's lives. Yet, states are not enthusiastic about abandoning these digital tools, even though the pandemic is winding down. Instead, they are determined to preserve their surveillance capacities under the pretext of national security or preparation for future pandemics. In the face of increasing state surveillance, however, we should thoroughly discuss the risk of digital authoritarianism and the possible use of surveillance technologies to violate privacy, silence political opposition, and oppress minorities. For example, South Korea's sophisticated contact tracing technology that involves surveillance camera footage, cell-phone location data, and credit card purchases has disclosed patients' personal information, such as nationality. It raised privacy concerns, particularly for ethnic minorities, and underlined the risk of technology-enabled ethnic mapping and discrimination."
"They are a modest correction against failures in algorithmic prioritisation on the indelible web. Before the requests go to the BBC, individuals must prove to Google - which has every interest in rejecting their claim - that the links contain personal information that is inaccurate, irrelevant or out of date, and holds no public interest."
"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."
"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."
"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."
"This week, the company released a new form of facial recognition called periocular recognition, which can supposedly identify individuals by just their eyes and eyebrows. Rank One says the new system uses an entirely different algorithm from its standard facial recognition system and is specifically meant for masked individuals. Rank One says it will ship the technology to all of its active customers for free."
"Cave wrote in his response: "Since its launch in November last year many people, most buzzing with a kind of algorithmic awe, have sent me songs 'in the style of Nick Cave' created by ChatGPT. There have been dozens of them. Suffice to say, I do not feel the same enthusiasm around this technology. I understand that ChatGPT is in its infancy but perhaps that is the emerging horror of AI - that it will forever be in its infancy, as it will always have further to go, and the direction is always forward, always faster.""
"But by far the most immediate danger is the role that AI data analysis and generation plays in spreading disinformation and extremism on social media. This technology powers bots and amplification algorithms. These have played a direct role in fomenting conflict in many countries. They are helping to intensify racism, conspiracy theories, political extremism and a plethora of violent, irrationalist movements."
"The researchers, Tero Karras, Samuli Laine, and Timo Aila, came up with a new way of constructing a generative adversarial network, or GAN.
GANs employ two dueling neural networks to train a computer to learn the nature of a data set well enough to generate convincing fakes. When applied to images, this provides a way to generate often highly realistic fakery. The same Nvidia researchers have previously used the technique to create artificial celebrities (read our profile of the inventor of GANs, Ian Goodfellow)."
"His team trained a machine learning algorithm to spot words and phrases associated with bullying on social media site AskFM, which allows users to ask and answer questions. It managed to detect and block almost two-thirds of insults within almost 114,000 posts in English and was more accurate than a simple keyword search. Still, it did struggle with sarcastic remarks."
"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."
"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."