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’

Tesla’s “Master of Coin” has stepped down after working at the Elon Musk-owned electric vehicle company for over 13 years. Zachary Kirkhorn became Tesla’s chief financial officer four and a half years ago in 2019, and was reportedly a potential successor to Mr Musk in running the EV company. The Tesla boss had dubbed him “Master of Coin” in 2021 – a reference to a title in hit TV series Game of Thrones. “During his tenure, Tesla has seen tremendous expansion and growth. Tesla thanks Mr Kirkhorn for his significant contributions,” Tesla noted in an SEC filing. Tesla’s current chief accounting officer, Vaibhav Taneja, will succeed Mr Kirkhorn, the electric automaker said on Monday. “This morning Tesla announced that I’ve stepped down from my role as Chief Financial Officer, succeeded by our Chief Accounting Officer, Vaibhav Taneja,” Mr Kirkhorn posted on his LinkedIn profile. “Being a part of this company is a special experience and I’m extremely proud of the work we’ve done together since I joined over 13 years ago,” he said. Mr Taneja previously worked as Tesla’s chief accounting officer up to March 2019, prior to which he worked as corporate controller from May 2018. It remains unclear what led to Mr Kirkhorn’s surprise decision to quit his role as Tesla’s CFO. Tesla recently announced its second quarter earnings, reporting a 20 per cent increase from the same quarter last year, better than what analysts estimated. Mr Kirkhorn’s departure also comes ahead of Tesla’s much-anticipated launch of its Cybertruck later this year. “As I shift my responsibilities to support this transition, I want to thank the talented, passionate, and hard-working employees at Tesla, who have accomplished things many thought not possible,” he said. Tesla shares dropped by about 3.5 per cent on Monday following the news, and continued to fall as the market opened. Mr Kirkhorn is expected to stay on till the end of 2023 to assist his successor with the transition. “I would like to thank Zach Kirkhorn for his many contributions to Tesla over the course of 13 often difficult years,” Mr Musk tweeted. Read More ‘It’s the factories that won’t be built’: Understanding the Brexit damage to economy Mark Zuckerberg’s wife not happy as he puts UFC octagon in garden ahead of Elon Musk fight Elon Musk ‘stopped Ukraine military using Starlink for military operation’ Zuckerberg says he is ‘ready today’ but ‘not holding breath’ for cage fight with Musk Musk pledges to fund legal bills of X users ‘unfairly treated’ by employers for posts Mark Zuckerberg reveals his 4,000 calorie diet and large McDonald’s order

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