Intel Corp. shares gained after the chipmaker gave a bullish revenue forecast for the current period, indicating that

Software company Adobe unveiled a new futuristic “digital dress” that lets wearers change patterns on its surface on the fly with the click of a button. The dress, created under Adobe’s “Project Primrose”, is made of sequins which are “reflective light-diffuser modules” built using liquid crystals such as those in smart lighting. Researchers say the sequins are basically tiny screens built using smart materials. The dress was unveiled for the first time for the audience at Adobe’s MAX conference last week with the software company describing it as bringing “fabric to life”. Video from the conference showed Adobe researcher Christine Dierk wearing the strapless outfit, which appeared like an average cocktail dress on first impression, but the patterns on it begin to shift immediately with the touch of a remote button. “Unlike traditional clothing, which is static, Primrose allows me to refresh my look in a moment,” the Adobe scientist said while demonstrating that its colors can go from light to dark in a moment. The researcher-turned-model also showed that the dress not only had static changes, but also animated designs with patterns fading in and out. Ms Dierk, who not only designed the dress but also stitched it herself, demonstrated that the outfit will even respond to movement. Researchers say the dress is built using “reflective-backed polymer-dispersed liquid crystal (PDLC)” a material commonly used in smart windows. “This low-power non-emissive material can be cut to any shape, and dynamically diffuses light,” scientists wrote in a study presented at a tech conference last year, but it remains unclear how heavy the dress can actually get. “Designers can layer this technology into clothing, furniture, and other surfaces to unlock infinite style possibilities – such as the ability to download and wear the latest design from a favorite designer,” Adobe noted. They said the high-tech sequins are also used for smaller products part of Project Primrose including a handbag and a canvas. “We hope this work inspires future designers of flexible displays,” scientists said. Read More Photo giant Getty took a leading AI image-maker to court. Now it's also embracing the technology John Warnock, who helped invent the PDF and co-founded Adobe Systems, dies at age 82 In closed forum, tech titans to give senators advice on artificial intelligence Tell us if you think price is the biggest problem with electric cars Sadiq Khan, Met Commissioner to ask phone companies to ‘design out’ theft TikTok details plans for Israel-Hamas war posts

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A woman has found herself receiving widespread attention online and has been dubbed the "Home Depot girl." Ariana Josephine has gone viral after posting selfies on Twitter of herself in her Home Depot uniform (hence the nickname) as everyone has been complementing her appearance across social media including TikTok. It all began when the 21-year-old shared bathroom selfies of herself as she sported her workwear from the American DIY store which includes an orange apron. Sign up to our free Indy100 weekly newsletter “The one job I work at that I get reminded I’m too pretty to work at," Ariana wrote as the post caption, and she was clearly reminded online too after the post received 35.8m views and 107,000 likes. In a follow-up post, two days later she shared another bathroom selfie in her uniform, this time with her hair down instead of tied back and Ariana wrote: "Home Depot Girl Taking Over 2.0" Similarly, this too also did numbers with it receiving 7.8m views and 77,000 likes. People have been paying Ariana endless compliments about her beauty in response to her selfies. One person said: "All the baddies are working at Home Depot." "Omggggg drop the skincare routine please," another person wrote. Someone else joked: "I suddenly find the urge to paint me and my neighbour's house." "What Home Depot is this??!!! I would be there shopping for a Lawnmower with no lawn," a fourth person commented. Since going viral, Ariana now has over 76,000 Twitter followers and 191,000 Instagram followers at the time of writing. In her Instagram bio, she describes herself as a video creator on topics such as Faith, Fashion, Lifestyle, and Beauty. However, the recent attention hasn't all been welcoming because Ariana recently took to Instagram to criticise people online who illegally doxxed her location and as a result announced that there will be no more Home Depot posts. "Last post about Home Depot since the world is illegally doxxing my location and job," she wrote. "Y’all turned something innocent into something crazy and ruined my way of making money by seriously taking the internet TOO far. She added: "Thanks for all the nice people I’ve spoken to and inspired and thanks to the hate because it’s helped me grow closer to God and be more tough skinned." It has also been reported that none other than basketball legend Shaquille O'Neal D'Med her a supportive message. “Don’t let them peopl [sic] bother u,” O’Neal told Ariana, according to the Twitter account Legion Hoops which shared a screenshot of the interaction. “Don’t read the comments stuff like that will drive you crazy.” After Ariana thanked Shaq, he then quipped in response: "Have a great day tell all your boyfriends I said hello.” Have your say in our news democracy. Click the upvote icon at the top of the page to help raise this article through the indy100 rankings.

Scientists have developed an artificial intelligence (AI) tool that can classify four subtypes of Parkinson’s disease with up to 95% accuracy. Researchers from the Francis Crick Institute and the UCL Queen Square Institute of Neurology in London “trained” a computer program to recognise the subtypes of the condition using images of stem cells from patients. The team said their work, published in the journal Nature Machine Intelligence, could pave the way for personalised medicine and targeted drug discovery. Sonia Gandhi, assistant research director and group leader of the Neurodegeneration Biology Laboratory at the Crick, said: “We understand many of the processes that are causing Parkinson’s in people’s brains. The hope is that one day this could lead to fundamental changes in how we deliver personalised medicine Sonia Gandhi, Francis Crick Institute “But, while they are alive, we have no way of knowing which mechanism is happening, and therefore can’t give precise treatments. “We don’t currently have treatments which make a huge difference in the progression of Parkinson’s disease. “Using a model of the patient’s own neurons, and combining this with large numbers of images, we generated an algorithm to classify certain subtypes – a powerful approach that could open the door to identifying disease subtypes in life. “Taking this one step further, our platform would allow us to first test drugs in stem cell models, and predict whether a patient’s brain cells would be likely to respond to a drug, before enrolling into clinical trials. “The hope is that one day this could lead to fundamental changes in how we deliver personalised medicine.” Parkinson’s is a condition in which parts of the brain become progressively damaged over many years. Symptoms include involuntary shaking of particular parts of the body, slow movement, and stiff and inflexible muscles. But there is also a wide range of other physical and psychological symptoms such as depression and anxiety, problems sleeping, and memory problems. These vary from person to person due to differences in the underlying mechanisms causing the disease. The researchers said that until now, there was no way to accurately differentiate Parkinson’s subtypes. It means people are given nonspecific diagnoses and do not always have access to targeted treatments, support or care, the team added. For the study, the researchers generated stem cells, which have the ability to develop into specialised cell types in the body, from patients’ own cells. The team then used those cells to chemically create four different subtypes of Parkinson’s: two involving pathways leading to toxic build-up of a protein called alpha-synuclein and two involving pathways associated with dysfunctional mitochondria, the cell’s battery packs. Working with the British technology company Faculty AI, the team developed machine-learning algorithms which were able to accurately predict the Parkinson’s subtype when presented with images it had not seen before. James Evans, a PhD student at the Crick and UCL, and first co-author of the study, said: “Now that we use more advanced image techniques, we generate vast quantities of data, much of which is discarded when we manually select a few features of interest. “Using AI in this study enabled us to evaluate a larger number of cell features, and assess the importance of these features in discerning (the) disease subtype. “Using deep learning, we were able to extract much more information from our images than with conventional image analysis. “We now hope to expand this approach to understand how these cellular mechanisms contribute to other subtypes of Parkinson’s.” Read More Charity boss speaks out over ‘traumatic’ encounter with royal aide Ukraine war’s heaviest fight rages in east - follow live Oxford scientists find no evidence to suggest Facebook not good for wellbeing Many adults would struggle to understand video-sharing platforms’ rules – Ofcom Ozzy Osbourne PlayStation tweet which failed to reveal link to Sony banned