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"Do androids dream of electric betrayal? That's just one question looming over this cover of "Jolene," made by the musician Holly Herndon using her "deepfake" digital twin Holly+, built to replicate the artist's own singing voice using machine learning technology."

"Green Light uses machine learning systems to comb through Maps data to calculate the amount of traffic congestion present at a given light, as well as the average wait times of vehicles stopped there. That information is then used to train AI models that can autonomously optimize the traffic timing at that intersection, reducing idle times as well as the amount of braking and accelerating vehicles have to do there. It's all part of Google's goal to help its partners collectively reduce their carbon emissions by a gigaton by 2030."

"A boarding prep school in West Sussex, Cottesmore School, has made history by appointing an AI robot, Abigail Bailey, as its "principal headteacher". Created in collaboration with an artificial intelligence developer, the robot is designed to support the school's headmaster, Tom Rogerson, by providing advice on various issues such as supporting staff members and helping pupils with ADHD. Abigail Bailey functions similarly to the AI service ChatGPT, where users ask questions and receive answers from the chatbot's algorithms. The AI principal has been developed with extensive knowledge in machine learning and educational management, allowing it to analyze vast amounts of data. According to Mr. Rogerson, having the AI robot to assist him is calming and reassuring. He considers the role of a school leader to be lonely and believes that having an entity to rely on is invaluable. He also intends to make the publicly-available online robot accessible to state school headteachers."

"Researchers involved in a recent study trained an artificial intelligence (AI) model to diagnose type 2 diabetes in patients after six to 10 seconds of listening to their voice. Canadian medical researchers trained the machine-learning AI to recognise 14 vocal differences in the voice of someone with type 2 diabetes compared to someone without diabetes. The auditory features that the AI focussed on included slight changes in pitch and intensity, which human ears cannot distinguish. This was then paired with basic health data gathered by the researchers, such as age, sex, height and weight. Researchers believe that the AI model will drastically lower the cost for people with diabetes to be diagnosed."

"I have been working with generative AI and, even though I have been warning that these tools are improving rapidly, I did not expect them to really be improving that rapidly. On every dimension, Bing's AI, which does not actually represent a technological leap over ChatGPT, far outpaces the earlier AI - which is less than three months old! There are many larger, more capable models on their way in the coming months, and we are not really ready."

"The opt-out movement is spreading, with tens of millions of artworks and images excluded in the last few weeks. But following the trail is tricky as images are used by clients in altered forms and opt-out clauses can be hard to find. Many photographers are also reporting that their "style" is being mimicked to produce cheaper work. "As these programs are devised to 'machine learn', at what point can they generate with ease the style of an established professional photographer and displace the need for their human creativity?" says Doran."

"What do today's AI-generated lesson plans look like? AI-generated lesson plans are already better than many people realise. Here's an example generated through the GPT-3 deep learning language model:"

"Researchers at the University of Pennsylvania found that Turkish high school students who had access to ChatGPT while doing practice math problems did worse on a math test compared with students who didn't have access to ChatGPT. Those with ChatGPT solved 48 percent more of the practice problems correctly, but they ultimately scored 17 percent worse on a test of the topic that the students were learning. "

"A UK-based startup has used an AI algorithm to identify a previously unknown kind of rare-earth free magnet, in a potential breakthrough for how we discover and create new materials. Materials Nexus, headquartered in London, used its machine learning algorithm to identify and analyse over 100 million combinations of materials that could produce a viable rare-earth free magnet."

"The reported ownership of LLM group's essays in the interviews was low. The Search Engine group had strong ownership, but lesser than the Brain-only group. The LLM group also fell behind in their ability to quote from the essays they wrote just minutes prior. As the educational impact of LLM use only begins to settle with the general population, in this preliminary study we demonstrate the pressing matter to explore further any potential changes in learning skills based on the results of our study. "

"Past scandals, bad photos, critical comments: the internet has a long memory. As the EU considers the 'right to be forgotten', we investigate the growing business of online reputation management - and learn how you can airbrush your own past"

"It's not that Google wants to do this, it's that they didn't anticipate this outcome, and compounded that omission by likewise omitting a way to overrule the algorithm's judgment. As with other examples of algorithmic cruelty, it's not so much this specific example as was it presages for a future in which more and more of our external reality is determined by models derived from machine learning systems whose workings we're not privy to and have no say in. "

"AIs do not need more intelligence than humans to transform the job market. They need only enough to do the task well. And that is not far off, Harari says. "Children alive today will face the consequences. Most of what people learn in school or in college will probably be irrelevant by the time they are 40 or 50. If they want to continue to have a job, and to understand the world, and be relevant to what is happening, people will have to reinvent themselves again and again, and faster and faster.""

"Ingram, a 60-year-old Uber driver in Pittsburgh, Pennsylvania, had just learned that Uber would be deploying autonomous cars to accept fares in her city within weeks. The announcement on Thursday morning sent shockwaves through the community of about 4,000 drivers that serve Pennsylvania's second largest city. "

"But with all of the successes of AI, it's also important to pay attention to when, and how, it can go wrong, in order to prevent future errors. A recent paper by Roman Yampolskiy, director of the Cybersecurity Lab at the University of Louisville, outlines a history of AI failures which are "directly related to the mistakes produced by the intelligence such systems are designed to exhibit." According to Yampolskiy, these types of failures can be attributed to mistakes during the learning phase or mistakes in the performance phase of the AI system."

""Equal access does imply equal opportunities," says the report, which goes on to point out that while anyone can use the internet to learn about the world, improve their skills or apply for a well-paid job, disadvantaged students are less likely to be aware of the opportunities that digital technology offers. "They may not have the knowledge or skills required to turn online opportunities into real opportunities," the report says."

"A new method to crack open locked iPhones is so promising that US government officials have classified it, the Guardian has learned."

"A cryptocurrency is only as reliable as the technology that keeps it running, and Ethereum is learning this the hard way. An attacker has taken an estimated $60 million in Ethereum's digital money (Ether) by exploiting vulnerabilities in the Decentralized Autonomous Organization, an investment collective. The raider took advantage of a "recursive call" flaw in the DAO's code-based smart contracts, which administer the funds, to scoop up Ether many times in a single pass."

""No-limit Texas Hold'em is a game of incomplete information where the AI must infer a human player's intentions and then act in ways that incorporate both the direct odds of winning and bluffing behaviour to try to fool the other player." The designers said their computer didn't "bluff" the human players. But by learning from its mistakes and practising its moves at night between games, the AI was working out how to defeat its human opponents."