Scientists have developed a machine-learning algorithm that can distinguish healthy coral reefs from less healthy ones by the soundscape in the …

A new artificial intelligence program has been developed that can mimic flirty speech patterns, thanks to new'non-word sounds' including sighs and breaths. Sonantic, based in London, England, produces expressive artificial intelligence voices for a range of uses, including Hollywood movies and computer games. The latest development was built with an'unnamed Hollywood client' called'What's Her Secret?', designed to create a flirty female lead character'that has never lived'. They released a video, with the face of an actress but voice of AI, designed to demonstrate it is possible to create'hyper-realistic romantic encounters.' In developing the flirty AI, the team also discovered some secrets that humans can use to sound more romantic and flirty, including slowing down to create suspense, gently smiling when speaking, and keeping a sooth, consistent pace.

A study in which machine-learning models were trained to assess over 1 million companies has shown that artificial intelligence (AI) can accurately determine whether a startup firm will fail or become successful. The outcome is a tool, Venhound, that has the potential to help investors identify the next unicorn. It is well known that around 90% of startups are unsuccessful: Between 10% and 22% fail within their first year, and this presents a significant risk to venture capitalists and other investors in early-stage companies. In a bid to identify which companies are more likely to succeed, researchers have developed machine-learning models trained on the historical performance of over 1 million companies. Their results, published in KeAi's The Journal of Finance and Data Science, show that these models can predict the outcome of a company with up to 90% accuracy.

An artificial intelligence system has been developed that can delve into your mind and learn which faces and types of visage you find most attractive. Finnish researchers wanted to find out whether a computer could identify facial features we find attractive without any verbal or written input guiding it. The team strapped 30 volunteers to an electroencephalography (EEG) monitor that tracks brain waves, then showed them images of'fake' faces generated from 200,000 real images of celebrities stitched together in different ways. They didn't have to do anything - no swiping right on the ones they like - as the team could determine their'unconscious preference' through their EEG readings. They then fed that data into an AI which learnt the preferences from the brain waves and created whole new images tailored to the individual volunteer.

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. Are we moving a bit closer to the day when machines can read our minds? Scientists have developed a system using artificial intelligence that can turn brain activity into text. At the moment, it works on neural patterns interpreted when someone speaks aloud, but there is hope among researchers that it could eventually be used for patients who are unable to speak or type. "We are not there yet but we think this could be the basis of a speech prosthesis," Joseph Makin, co-author of the research from the University of California, San Francisco, told The Guardian.

Are we moving a bit closer to the day when machines can read our minds?

Reading minds has just come a step closer to reality: scientists have developed artificial intelligence that can turn brain activity into text. While the system currently works on neural patterns detected while someone is speaking aloud, experts say it could eventually aid communication for patients who are unable to speak or type, such as those with locked in syndrome. "We are not there yet but we think this could be the basis of a speech prosthesis," said Dr Joseph Makin, co-author of the research from the University of California, San Francisco. Writing in the journal Nature Neuroscience, Makin and colleagues reveal how they developed their system by recruiting four participants who had electrode arrays implanted in their brain to monitor epileptic seizures. These participants were asked to read aloud from 50 set sentences multiple times, including "Tina Turner is a pop singer", and "Those thieves stole 30 jewels".

A team of scientists has developed an artificial intelligence system called DeepStack that recently defeated professional poker players. The team of computing scientists from University of Alberta's Computer Poker Research Group, including researchers from Charles University in Prague and Czech Technical University, said DeepStack bridges the gap between approaches used for games of perfect information with those used for imperfect information games. "Poker has been a longstanding challenge in artificial intelligence," said Michael Bowling from the University of Alberta, Canada, in the paper published in the journal Science. It is the quintessential game of imperfect information in the sense that the players don't have the same information or share the same perspective while they are playing," Bowling added. Imperfect information games are a general mathematical model that describes how decision-makers interact. Artificial intelligence research has a storied history of using parlour games to study these models, but attention has been focused primarily on perfect information games. "We need new AI techniques that can handle cases where decision-makers have different perspectives," Bowling noted. DeepStack extends the ability to think about each situation during play -- which has been famously successful in games like checkers, chess, and Go -- to imperfect information games using a technique called continual re-solving. This allows DeepStack to determine the correct strategy for a particular poker situation without thinking about the entire game by using its "intuition" to evaluate how the game might play out in the near future.We train our system to learn the value of situations," Bowling said.

Scientists and engineers have created an artificially intelligent algorithm that can parse through legal documents and determine what the likely outcome of a trial will be. In other words, robots aren't here just to take over our jobs, they're here to send us to jail as well. British scientists at UCL developed the algorithm and taught it to understand legalese by feeding the software previous human rights cases. Out of nearly 600 cases involving human rights, torture, privacy and fair trials, the program made the same judicial decisions as the human judges in 79% of cases. If there are any officers of the court feeling a bit nervous about job security right now, there is some good news.