How conspiracy theories infiltrated the doctor's office Every day, physicians and therapists work to keep their patients safe. As anyone who has googled their symptoms and convinced themselves that they've got a brain tumor will attest, the internet makes it very easy to self-(mis)diagnose your health problems. And although social media and other digital forums can be a lifeline for some people looking for a diagnosis or community, when that information is wrong, it can put their well-being and even lives in danger. Unfortunately, this modern impulse to "do your own research" became even more pronounced during the coronavirus pandemic. We asked a number of health-care professionals about how this shifting landscape is changing their profession. They told us that they are being forced to adapt how they treat patients.

Collaborative Problem-Solving (CPS) markers capture key aspects of effective teamwork, such as staying on task, avoiding interruptions, and generating constructive ideas. An AI system that reliably detects these markers could help teachers identify when a group is struggling or demonstrating productive collaboration. Such a system requires an automated pipeline composed of multiple components. In this work, we evaluate how CPS detection is impacted by automating two critical components: transcription and speech segmentation. On the public Weights Task Dataset (WTD), we find CPS detection performance with automated transcription and segmentation methods is comparable to human-segmented and manually transcribed data; however, we find the automated segmentation methods reduces the number of utterances by 26.5%, impacting the the granularity of the data. We discuss the implications for developing AI-driven tools that support collaborative learning in classrooms.

Muslims around the world have begun celebrating Eid al-Fitr, one of the biggest celebrations in the Islamic calendar. Eid al-Fitr - which means "festival of the breaking of the fast" - is celebrated at the end of Ramadan, a month of fasting for many adults, as well as spiritual reflection and prayer.ReutersHere in Moscow, worshippers are seen preparing for prayer.ReutersHundreds took part in prayers at Tononoka grounds, in Mombasa, KenyaGetty ImagesPrayers were also observed at a stadium in Port Sudan in the east of the countryGetty ImagesLittle children joined adults at the Moskee Essalam in Rotterdam, NetherlandsGetty ImagesGifts are handed out to Muslim children in Lviv, Ukraine, as Russia's war on the country continuesReuters Palestinians in Jabaliya in the northern Gaza Strip pray amidst the rubble of a mosque destroyed in the current war between Israel and HamasGetty ImagesFamilies gather at al-Aqsa mosque in Jerusalem - the third holiest site in IslamReutersA boy yawns during prayers at a stadium in QatarEPAMuslims greet each-other at Martim Moniz Square in Lisbon, PortugalGetty ImagesWomen worshippers gather in Burgess Park, London, for an outdoor prayerEPAThere were also worshippers gathered outside Plebiscito Square in Naples, ItalyReutersSome women took pictures after attending prayers at the Hagia Sophia Grand Mosque in Istanbul, TurkeyGetty ImagesAfghan refugees pray at a mosque on the outskirts of Peshawar, PakistanMiddle EastEuropeEid al-FitrReligionIslamRelated'I was afraid for my life': At the scene of the attack on Palestinian Oscar winner 5 days agoMiddle EastMore8 hrs ago'In Bradford, families spend thousands on new clothes for Eid' Muslims spend large amounts in Bradford's supermarkets, clothes shops and other services before Eid.8 hrs agoEngland1 day ago The tourist has received an award from the city's mayor after restraining a man during a stabbing.1 day agoEurope1 day ago Another 21 people are injured, as a restaurant and several buildings are set ablaze in the city, local officials say.1 day agoWorld1 day ago Town's successful Ramadan lights project expanded A Scunthorpe community group says it has seen an "amazing" response to its lights display.1 day agoLincolnshire1 day ago Bishop says school that changed Easter events'valued' The BBC is not responsible for the content of external sites.

The world's first comprehensive laws to regulate artificial intelligence have been agreed in a landmark deal after a marathon 37-hour negotiation between the European Parliament and EU member states. The agreement was described as "historic" by Thierry Breton, the European Commissioner responsible for a suite of laws in Europe that will also govern social media and search engines, covering giants such as X, TikTok and Google. Breton said 100 people had been in a room for almost three days to seal the deal. He said it was "worth the few hours of sleep" to make the "historic" deal. Carme Artigas, Spain's secretary of state for AI, who facilitated the negotiations, said France and Germany supported the text, amid reports that tech companies in those countries were fighting for a lighter touch approach to foster innovation among small companies.

When Sen. Steven Bradford (D-Gardena) thinks about hip-hop's influence, he remembers all the wrongdoings artists illuminated throughout history. Even as hip-hop turns 50, the music is still provoking discussions about high-stakes political issues from police brutality to gun violence. "I'm in elected office today because of hip-hop," said Bradford, pointing to his time as a former nightclub promoter. "My attitude was if I can bring folks out to a club to listen to music, we can get folks out in our communities to rock the vote, and I use that as a catalyst to do what I do." Standing on the steps of the State Capitol in Sacramento on Monday, Bradford was among members of the California Legislative Black Caucus celebrating hip-hop's 50th anniversary.

Applied Unsupervised Learning with R: Uncover hidden relationships and patterns with k-means clustering, hierarchical clustering, and PCA [Malik, Alok, Tuckfield, Bradford] on Amazon.com. *FREE* shipping on qualifying offers. Applied Unsupervised Learning with R: Uncover hidden relationships and patterns with k-means clustering, hierarchical clustering, and PCA

Use algorithms to debug code, maximize revenue, schedule tasks, and create decision trees Measure the efficiency and speed of algorithms Generate Voronoi diagrams for use in various geometric applications Use algorithms to build a simple chatbot, win at board games, or solve sudoku puzzles Write code for gradient ascent and descent algorithms that can find the maxima and minima of functions Use simulated annealing to perform global optimization Build a decision tree to predict happiness based on a person's characteristics Build a decision tree to predict happiness based on a person's characteristics

'I think it looks terrific," says David Hockney. The 83-year-old artist is taking a look around his new exhibition at the Royal Academy in London for the first time. He seems happy with it – and rightly so, for it is hypnotic and ravishing. But while I am getting a sneak preview in person, Hockney is here only virtually, his face appearing on two screens, one a giant TV, the other a small laptop. He is at home, at what he calls his "seven dwarves house" in Normandy, wearing a red, black and white check jacket, a checkerboard tie, a blue-green pullover and round, gold-framed glasses. His kaleidoscopic choice of clothing, challenging the very limits of the video call's bandwidth, is as vibrant and beguiling as the canvases hanging around us. Hockney has not just painted spring; he has come dressed as it. The artist has agreed to talk me through the exhibition, called The Arrival of Spring, Normandy, 2020, and the arrangement underlines his idiosyncratic ease with technology. To make these iPad paintings, he and his team created a version of the Brushes app, working with a computer expert in Leeds to speed things up. "Drawing requires a certain speed," he says. "In Rembrandt's drawings, you can see how fast he drew." I can't handle Hockney on the big screen, so I sit in front of the laptop – after first taking in his art. He has filled some of the grandest rooms in the RA with pictures of blossoming branches, spilling flower beds, a rain-spattered pond and a tree house: simple subjects, faithfully depicted. I first saw many of these last spring, in my email inbox. Day after day, sometimes more than once a day, I would find a new Hockney, fresh from France, which was a great pick-me-up as the full scope of the pandemic began to dawn. The trouble was that I was soon running out of superlatives in my replies. He was "doing the arrival of spring in Normandy", as he puts it, and the work made headlines around the world when he released a few images to the media. Clearly, it was not just me who found Hockney's passionate pictures of new life in his cottage and garden in the Norman paysage uplifting. Here was movingly optimistic art, full of the promise of spring, even as Covid plunged the planet into despair. Now those pictures have been printed up to the scale of oil landscapes and are looking even better. This is Hockney's best exhibition in a long time, perhaps his most important ever, given the ode to joy it offers an injured world. It is also "a homage", he says, to the painters who first inspired him. Hockney was born in industrial Bradford in 1937 and grew up in a smoggy postwar Britain. Where did he get a feeling for all the bright strong colours that sweep this exhibition? "Well, it came from Monet and Matisse and Picasso.

An academic and a lawyer have teamed up to develop a robot lawyer, which, if successful, will make legal advice affordable to people from all backgrounds, while revolutionizing the legal sector. Robots could take on significant parts of a lawyer's work, reducing the costs and barriers to access to legal services for everyone, rather than just those who can afford the high costs. The project, at the University of Bradford, is initially working on a machine learning-based application to provide immigration-related legal advice, but if successful, it could be replicated across the legal sector. The project was devised by Yash Dubal, immigration lawyer and director at AY&J, and Dhaval Thakker, associate professor at the faculty of engineering and informatics at the University of Bradford. It will harness complex knowledge graph technology and deep learning algorithms to analyse case law and learn from it.

Datasets in high-dimension do not typically form clusters in their original space; the issue is worse when the number of points in the dataset is small. We propose a low-computation method to find statistically significant clustering structures in a small dataset. The method proceeds by projecting the data on a random line and seeking binary clusterings in the resulting one-dimensional data. Non-linear separations are obtained by extending the feature space using monomials of higher degrees in the original features. The statistical validity of the clustering structures obtained is tested in the projected one-dimensional space, thus bypassing the challenge of statistical validation in high-dimension. Projecting on a random line is an extreme dimension reduction technique that has previously been used successfully as part of a hierarchical clustering method for high-dimensional data. Our experiments show that with this simplified framework, statistically significant clustering structures can be found with as few as 100-200 points, depending on the dataset. The different structures uncovered are found to persist as more points are added to the dataset.