AI chatbots miss urgent issues in queries about women's health AI models such as ChatGPT and Gemini fail to give adequate advice for 60 per cent of queries relating to women's health in a test created by medical professionals Many women are using AI for health information, but the answers aren't always up to scratch Commonly used AI models fail to accurately diagnose or offer advice for many queries relating to women's health that require urgent attention. Thirteen large language models, produced by the likes of OpenAI, Google, Anthropic, Mistral AI and xAI, were given 345 medical queries across five specialities, including emergency medicine, gynaecology and neurology. The queries were written by 17 women's health researchers, pharmacists and clinicians from the US and Europe. The answers were reviewed by the same experts. Any questions that the models failed at were collated into a benchmarking test of AI models' medical expertise that included 96 queries.

After ChatGPT broke cover in late 2022 and the tech industry embarked on its contemporary rendering of tulip mania, people started to wonder why the biggest tech giant of all – Apple – was keeping its distance from the madness. Eventually, the tech commentariat decided that there could be only two possible interpretations of this corporate standoffishness: either Apple was way behind the game being played by OpenAI et al; or it had cunning plans to unleash upon the world its own world-beating take on the technology. Finally, at its annual World Wide Developers' Conference (WWDC) on 10 June last year Apple came clean. For Apple, "AI" would not mean what those vulgar louts at OpenAI, Google, Microsoft and Meta raved about, but something altogether more refined and sophisticated – something called "Apple Intelligence". It was not, as the veteran Apple-watcher John Gruber put it, a single thing or product but "a marketing term for a collection of features, apps, and services". Putting it all under a single, memorable label made it easier for users to understand that Apple was launching something really novel.

A machine-learnable variational scheme using Gaussian radial basis functions (GRBFs) is presented and used to approximate linear problems on bounded and unbounded domains. In contrast to standard mesh-free methods, which use GRBFs to discretize strong-form differential equations, this work exploits the relationship between integrals of GRBFs, their derivatives, and polynomial moments to produce exact quadrature formulae which enable weak-form expressions. Combined with trainable GRBF means and covariances, this leads to a flexible, generalized Galerkin variational framework which is applied in the infinite-domain setting where the scheme is conforming, as well as the bounded-domain setting where it is not. Error rates for the proposed GRBF scheme are derived in each case, and examples are presented demonstrating utility of this approach as a surrogate modeling technique.

Scientists studying sperm whales have discovered that they communicate through a sort of "phonetic alphabet", enabling them to build a rough equivalent of what humans refer to as words and phrases. The study, published on Tuesday, involved sperm whales living around the Caribbean island of Dominica, describing how they communicate by squeezing air through their respiratory systems to make rapid clicks resembling Morse code, with sets of the noises making up the basic building blocks of language. Research showed the "expressivity" of sperm whale calls was bigger than previously thought, said Pratyusha Sharma, a lead author of the study, which was published in the journal Nature Communications. "We do not know yet what they are saying. We are studying the calls in their behavioural contexts next to understand what sperm whales might be communicating about," she said.

Proponents of artificial intelligence are quick to list the myriad ways their tech will serve as extensions of our busy brains. But as Apple, Google, and other companies race to bring their AI creations onto our phones, we're being presented with an opportunity to use these next-gen digital assistants to correct one of our inherent human flaws: poor memory. Tom Gruber, who cofounded the company that created Apple's Siri voice assistant, says the potential for offloading memory-dependent tasks is the first big leap toward making AI assistants that can truly ape human thinking. "The basic pieces of cognition, the fundamental one is memory," Gruber says. Almost all of our daily cognition or computation is memory-based.

David Gruber began his almost impossibly varied career studying bluestriped grunt fish off the coast of Belize. He was an undergraduate, and his job was to track the fish at night. He navigated by the stars and slept in a tent on the beach. "It was a dream," he recalled recently. "I didn't know what I was doing, but I was performing what I thought a marine biologist would do."

Kansas City Mayor Quinton Lucas joined'Fox & Friends' to discuss how the city is enticing residents to become 911 dispatchers as the city grapples with massive staffing shortages. When tragedy strikes, calling an ambulance or police as quickly as possible can be a matter of life and death. Staffing issues continue to plague 911 call centers, but with the helping hand of artificial intelligence and high-tech software, emergency response call centers are already seeing improvements to streamline work and get help to those in need as efficiently as possible. "When we work with public safety, specifically in this area, the PSAPs [public safety answering points] are experiencing some of the biggest challenges," Kim Majerus, vice president of global education and U.S. state and local government at Amazon Web Services (AWS), told Fox News Digital in a phone interview. "Eighty percent indicate that they're short-staffed. Some are facing staffing shortages as high as 50%, with the national average being about 30%."

After more than a decade, autocorrect "fails" could be on their way out. Apple's much-maligned spelling software is getting upgraded by artificial intelligence: Using sophisticated language models, the new autocorrect won't just check words against a dictionary, but will be able to consider the context of the word in a sentence. In theory, it won't suggest consolation when you mean consolidation, because it'll know that those words aren't interchangeable. The next generation of autocorrect was one of several small updates to the iPhone experience that Apple announced earlier this month. The Photos app will be able to differentiate between your dog and other dogs, automatically recognizing your pup the same way it recognizes people who frequently appear in your pictures.

Tom Mustill was kayaking with his friend Charlotte in Monterey Bay, California, when an animal three times the size of the largest Tyrannosaurus Rex hurtled from the water and crashed down on their tiny craft. As the flying humpback whale fell upon them and their kayak was sucked beneath the waves, Mustill assumed he would die. Miraculously he and Charlotte found themselves gasping for breath, clinging to their capsized kayak. How had they survived a smash with a creature three times the weight of a double-decker bus? What happened next was almost as weird.

I don't know much about whales. I have never seen a whale in my life,