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"It is the first time scientists have created sentences from brain activity linked to handwriting and paves the way for more sophisticated devices to help paralysed people communicate faster and more clearly. The man, known as T5, who is in his 60s and lost practically all movement below his neck after a spinal cord injury in 2007, was able to write 18 words a minute when connected to the system. On individual letters, his "mindwriting" was more than 94% accurate."

"The robots, which are less than 1mm long, are designed by an "evolutionary algorithm" that runs on a supercomputer. "

""China has a politically weaponized system of censorship; it is refined, organized, coordinated and supported by the state's resources," said Xiao Qiang, a research scientist at the School of Information at the University of California, Berkeley, and the founder of China Digital Times. "It's not just for deleting something. They also have a powerful apparatus to construct a narrative and aim it at any target with huge scale." "This is a huge thing," he added. "No other country has that." "

""We have evidence that applying these informs to posts decreases their reshares by ~8%," a Facebook data scientist told BuzzFeed. "However given that Trump has SO many shares on any given post, the decrease is not going to change shares by orders of magnitude.""

"One point I found heartening in preparing this data was this quote from one of our data scientists. Following the announcement of a winner, 'Americans applying heart reactions on political content were off the charts, while angry reactions were closer to baseline.' It's possible to have a spike in positivity without having a corresponding spike in negativity. There has been a lot of interest in Facebook's impact on civic discourse and reasonable requests for us to share more data so it can be studied more fully. Obviously, this post is not meant to be a perfect analysis."

"They then analysed how diverse the individuals' work was at different points in their careers. This was assessed using an artificial intelligence system that was trained, in the case of art, to "recognise" different styles by features such as the brush strokes, shapes and objects in a piece, while in the case of film, it was trained to classify a director's work based on plot and cast information. For science, the system identified different research topics based on the papers cited within a researcher's publications."

"Drowning in literature? Scientists often must manage research, teaching, and acquiring funding, and more. It can be hard to find time to read new papers in the field. It can also help non-specialists who are reading complicated papers and struggling to find the gist. Using this tool, you can enter a paper's abstract. The site will then generate a short summary. "The free tool, which creates what the team calls TLDRs (the common Internet acronym for 'Too long, didn't read'), was activated this week for search results at Semantic Scholar, a search engine created by the non-profit Allen Institute for Artificial Intelligence (AI2) in Seattle, Washington."

"At the Seco Innovation Laboratory in Fagersta, Sweden, R&D technician Jan Gravningsbråten, could easily be mistaken for a mad scientist, surrounded by blinking red lasers, trays of inserts under observation, diagnostic equipment and countless other measuring devices, all in aid of his ongoing work with data matrix codes, also known as QR codes."

"Alex Naka, a data scientist at a biotech firm who signed up to test Copilot, says the program can be very helpful, and it has changed the way he works. "It lets me spend less time jumping to the browser to look up API docs or examples on Stack Overflow," he says. "It does feel a little like my work has shifted from being a generator of code to being a discriminator of it.""

"The gate, a chip component that switches transistors on and off, is a critical measure of transistor size. Previous research had already pushed gate lengths to one nanometer and below. By scaling gate lengths down to the size of single atoms, the latest work sets a new mark that'll be hard to beat. "In the future, it will be almost impossible for people to make a gate length smaller than 0.34 nm," the paper's senior author Tian-Ling Ren told IEEE Spectrum. "This could be the last node for Moore's Law.""

"Recent advances in AI are likely to spell the end of the traditional school classroom, one of the world's leading experts on AI has predicted. Prof Stuart Russell, a British computer scientist based at the University of California, Berkeley, said that personalised ChatGPT-style tutors have the potential to hugely enrich education and widen global access by delivering personalised tuition to every household with a smartphone. The technology could feasibly deliver "most material through to the end of high school", he said."

"New research by scientists at Michigan State University suggests that laptops do not enhance classroom learning, and in fact students would be better off leaving their laptops in the dorm during class. Although computer use during class may create the illusion of enhanced engagement with course content, it more often reflects engagement with social media, YouTube videos, instant messaging, and other nonacademic content. This self-inflicted distraction comes at a cost, as students are spending up to one-third of valuable (and costly) class time zoned out, and the longer they are online the more their grades tend to suffer."

""As with all technology, there are caveats around making sure that it is used responsibly and not as a licence to cheat, but none of that is insurmountable," he said. In contrast, New York City schools have already banned the use of ChatGPT on all devices and networks because of concerns it will encourage plagiarism. Dr Thomas Lancaster, a computer scientist working at Imperial College London, best known for his research into academic integrity, contract cheating and plagiarism, said it was in many ways a game changer. He said: "It's certainly a major turning point in education where universities have to make big changes."

"Brain scans predict students' learning better than exam results and show the underlying structure of thinking. According to recent research published in Science Advances, the conventional exams and grades that schools have long employed may evaluate learning less accurately than brain scans."

"There's a similar problem in artificial intelligence: The people who develop AI are increasingly having problems explaining how it works and determining why it has the outputs it has. Deep neural networks (DNN)-made up of layers and layers of processing systems trained on human-created data to mimic the neural networks of our brains-often seem to mirror not just human intelligence but also human inexplicability."

"No surprise, then, that Twitter is aglow with engineers and academics mocking Lemoine for falling into the seductive emptiness of his own creation. But while I agree that Lemoine has made a mistake, I don't think he deserves our scorn. His error is a good mistake, the kind of mistake we should want AI scientists to make."

"Let's start with the dementia socks. An intriguing idea, born out of a personal tragedy. Zeke Steer watched his own great-grandmother decline into dementia, and wanted to help. Spin forward a few years, and the research scientist has developed socks which detect early physical signs of the onset of diseases like Alzheimer's. "Sensors in our socks are detecting early signs of distress, and alerting a carer that they may need help," he says."

"Imagine having a digital twin that gets ill, and can be experimented on to identify the best possible treatment, without you having to go near a pill or a surgeon's knife. Scientists believe that within five to 10 years, "in silico" trials - in which hundreds of virtual organs are used to assess the safety and efficacy of drugs - could become routine, while patient-specific organ models could be used to personalise treatment and avoid medical complications. Digital twins are computational models of physical objects or processes, updated using data from their real-world counterparts. Within medicine, this means combining vast amounts of data about the workings of genes, proteins, cells and whole-body systems with patients' personal data to create virtual models of their organs - and eventually, potentially their entire body"

"But for many scientists, Twitter has become an essential tool for collaboration and discovery - a source of real-time conversations around research papers, conference talks and wider topics in academia. Papers now zip around scientific communities faster thanks to Twitter, says Johann Unger, a linguist at Lancaster University, UK, who notes that extra information is also shared in direct private messages through the site. And its limit on tweet length - currently 280 characters - has pushed academics into keeping their commentary pithy, he adds."