An investigation has been ordered into an alleged leak of confidential information.

A high school English class may not sound like the typical forum for educating kids on the risks of social media, but that hasn't stopped Jennifer Rosenzweig.

The Europe Union is introducing “crash test” systems for artificial intelligence to ensure new innovations are safe before

Apple has agreed to install updates for the iPhone 12 in France after French regulators ordered the company to stop selling the model because it emits electromagnetic radiation levels that exceed European Union standards. The company, which just unveiled its newest generation of iPhones, insists the 12 model is safe and the phones have been certified in countries around the world since its introduction in 2020. It says the problem raised by the French government agency that manages wireless communications frequencies is “related to a specific testing protocol.” The French agency said the iPhone 12 recently failed one of two types of tests for electromagnetic waves capable of being absorbed by the body. On Tuesday, France’s government ordered a halt to sales of the iPhone 12 and told Apple to issue a software update to address the problem or face a recall. Apple said in a statement Friday that it “will issue a software update for users in France to accommodate the protocol used by French regulators.” It did not elaborate. The French ban could have extended to all 27 EU countries after three months if Apple had refused to issue updates and if no other government objected, European Commission spokesperson Sonya Gospodinova said Thursday. France’s digital affairs minister said the iPhone 12’s radiation levels are still much lower than what scientific studies consider potentially harmful to users, and the radiation agency acknowledged that its tests don’t reflect typical phone use. Cellphones have been labeled as possible carcinogens by the World Health Organization’s cancer research arm, putting them in the same category as coffee, diesel fumes and the pesticide DDT. The radiation produced by cellphones cannot directly damage DNA and is different from stronger types of radiation like X-rays or ultraviolet light. Experts have recommended that people concerned about their cellphone radiation exposure use earphones or switch to texting. Read More Ukraine war’s heaviest fight rages in east - follow live Charity boss speaks out over ‘traumatic’ encounter with royal aide

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Emile Morel, who became new creative director of Ubisoft's 'Beyond Good and Evil 2', has passed away.

By Nivedita Balu TORONTO Oracle is ready to cater to Canadian banks for their open banking needs and

For Gen Xers and elder Millennials, there’s nothing like the scent of Strawberry Shortcake and her dessert-themed friends for bringing back fond childhood memories.

BELLEVUE, Wash.--(BUSINESS WIRE)--Jun 23, 2023--

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By Ayman Werfali BENGHAZI (Reuters) -Authorities in eastern Libya said at least 2,000 people were killed and thousands more were

Scientists have discovered a way to test whether someone is diabetic by having them speak just a few sentences into their smartphone. A team from US-based Klick Labs created an AI model capable of distinguishing whether a person has Type 2 diabetes from six to 10 seconds of voice audio, with tests revealing an 89 per cent accuracy rate for women and 86 per cent for men. “Our research highlights significant vocal variations between individuals with and without Type 2 diabetes and could transform how the medical community screens for diabetes,” said Jaycee Kaufman, a research scientist at Klick Labs. “Current methods of detection can require a lot of time, travel and cost. Voice technology has the potential to remove these barriers entirely.” The study involved analysing 18,000 recordings in order to identify acoustic features that differentiated non diabetics from diabetics. Using signal processing, they were able to detect subtle changes in pitch and intensity that are imperceptible to the human ear. The tool could prove useful for the estimated 240 million adults around the world who are currently living with the condition without realising, according to figures from the International Diabetes Federation. The latest research demonstrates the ever-growing role AI plays in healthcare, with the convergence of machine learning models, data science helping to improve patient treatment and assisting medical discoveries. The researchers claim the artificial intelligence model, which requires basic health data from the subject in order to determine whether they are diabetic, could be expanded to diagnose other health conditions. “Our research underscores the tremendous potential of voice technology in identifying Type 2 diabetes and other health conditions,” said Yan Fossat, vice president of Klick Labs and leader of the research. “Voice technology could revolutionise healthcare practices as an accessible and affordable digital screening tool.” The technology was detailed in a study, titled ‘Acoustic analysis and prediction of Type 2 Diabetes Mellitus using smartphone-recorded voice segments’, published in the journal Mayo Clinic Proceedings: Digital Health. Read More 10 ways AI will change the world – from curing cancer to wiping out humanity