LONDON British Prime Minister Rishi Sunak and the bosses of leading AI companies OpenAI, Google DeepMind, and Anthropic

TL;DR: As of June 22, get this refurbished iPad Mini 2 for just $87.99 —

WhatsApp users will be able to guard their “most intimate conversations” with a new password protected feature to hide messages, parent company Meta has said. Chat Lock will allow individuals to “lock and hide” private exchanges by removing them from the main inbox into a folder only accessible by password or biometric security, such as a fingerprint. Meta announced the development on Monday as the global launch began. Chief executive officer Mark Zuckerberg said in a Facebook post: “New locked chats in WhatsApp make your conversations more private. “They’re hidden in a password protected folder and notifications won’t show sender or message content.” However the new privacy measures may intensify the stand-off between Meta and the UK government over the Online Safety Bill. In April, Meta protested against the legislation, which it said would undermine the end-to-end encryption used by WhatsApp where only the sender and intended recipient of a message are able to read it. The Government has denied the Bill would outlaw encrypted messaging, saying it aims to target child abuse content while retaining privacy online. Tech companies who refuse to comply with the Government’s demands to identify and remove such content from their platforms could face large fines. In response to this, Meta threatened to withdraw WhatsApp from the UK last March rather than submit to the proposed policies. Read More Charity boss speaks out over ‘traumatic’ encounter with royal aide Ukraine war’s heaviest fight rages in east - follow live

SANTA CLARA, Calif.--(BUSINESS WIRE)--May 23, 2023--

To absolutely no one's surprise, Google's first-ever foldable smartphone has landed. The new Google Pixel

TikTok star Carl Eiswerth shared videos of him joyfully dancing to popular songs and engaging in candid discussions on topics like mental health

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Sensors in smartphones may be able to detect how drunk a person is based on changes in their voice, according to a small study. Following experiments involving 18 adults aged 21 and above, scientists said they were able to predict a person’s level of intoxication with 98% accuracy based on an analysis of their voice patterns. Brian Suffoletto, an associate professor of emergency medicine at Stanford University in the US, said the accuracy of the findings of his research “genuinely took me by surprise”. He added: “While we aren’t pioneers in highlighting the changes in speech characteristics during alcohol intoxication, I firmly believe our superior accuracy stems from our application of cutting-edge advancements in signal processing, acoustic analysis, and machine learning.” While Prof Suffoletto said larger studies are needed to confirm the validity of the findings, he added his work has the potential to deliver “just-in-time interventions” to prevent alcohol-related road injuries and deaths in the future. Prof Suffoletto said: “Imagine if we had a tool capable of passively sampling data from an individual as they went about their daily routines and survey for changes that could indicate a drinking episode to know when they need help.” Imagine if we had a tool capable of passively sampling data from an individual as they went about their daily routines and survey for changes that could indicate a drinking episode to know when they need help Prof Brian Suffoletto For the research, published in the Journal of Studies on Alcohol and Drugs, the scientists tailored alcohol doses based on the body weight of each person taking part and were given an hour to finish their drink. Each individual was randomly given a series of tongue twisters to read out loud and a smartphone was used to record their voices. Recordings were made before drinking, and each hour up to seven hours after drinking. The researchers also measured each person’s breath alcohol levels at the beginning of the study and every 30 minutes for up to seven hours. Using digital programmes, the researchers were able isolate the speaker’s voices and analyse measures such as frequency and pitch in one-second increments. When checked against breath alcohol results, the researchers found that the model they developed was a good predictor of how drunk a person was – with 98% accuracy. Prof Suffoletto believes that other behaviours such as gait and texting could be combined with voice pattern sensors to gauge intoxication levels. He said: “Timing is paramount when targeting the optimal moment for receptivity and the relevance of real-time support. “For instance, as someone initiates drinking, a reminder of their consumption limits can be impactful. “However, once they’re significantly intoxicated, the efficacy of such interventions diminishes.” Read More Ireland and Apple await major development in long-running EU tax dispute Guidance urges parents not to buy smartphones for primary school children William ‘blown away’ by futuristic technology from Singapore start-ups Return of original Fortnite map causes record traffic on Virgin Media O2 network NatWest creates new AI-powered chatbot capable of ‘human-like’ conversations Succession star Sarah Snook says AI use in film industry needs ‘stringent rules’

(Reuters) -Hawaiian Electric's shares jumped more than 40% on Monday after the utility said its power lines in West Maui

Oracle Corp. reported cloud sales growth that slowed in the quarter, dimming enthusiasm about the software maker’s expansion

Nvidia Corp. results showing that customers are binging on chips used in artificial intelligence computing sent a complex

A number of popular subreddits have cheekily relaunched amid the widespread protest against Reddit from