French videogame titan Ubisoft is eyeing artificial intelligence and virtual reality as the next big things in gaming, its chief executive said, especially ahead of the release...

An amendment that would strip language in the debt-ceiling bill expediting approval of Equitrans Midstream Corp.’s Mountain Valley

Scientists have discovered a new AI-driven hacking method that guesses passwords with over 90 per cent accuracy by listening to what people type on their keyboard. The cyberattack works by using AI to learn and recognise the sound profile of different keys on a keyboard, according to the yet-to-be peer-reviewed research, posted as a preprint in arXiv. Using a smartphone-integrated microphone listening for keystrokes on an Apple MacBook Pro, researchers, including Joshua Harrison from Durham University in the UK, could reproduce the exact keys with 95 per cent accuracy. Scientists also tested the accuracy of the AI system during a Zoom call, recording the keystrokes using the laptop’s microphone during a meeting. In this approach, the AI model was found to 93 per cent accurate in reproducing the keystrokes and in another test using Skype, the model was found to be about 92 per cent accurate. Researchers say the new cyberattack method is facilitated by advancements over the last decade in the number of microphones within acoustic range of keyboards. The model works by recognising the unique patterns with which users press keys on their keyboard, including the sound, the intensity and time of each keystroke. Researchers used a MacBook Pro to test the concept, helping the system recognise patterns first by pressing 36 individual keys 25 times a piece. They used an iPhone 13 mini, kept 17 cm away from the keyboard, to record the keystroke audio for their first test. They then recorded the laptop keys over Zoom, using the MacBook’s built-in microphones. This new technique using the trio of AI, microphones, and video calls “present a greater threat to keyboards than ever,” scientists warn in the study. “When trained on keystrokes recorded by a nearby phone, the classifier achieved an accuracy of 95 per cent, the highest accuracy seen without the use of a language model,” scientists write in the study. However, scientists say the AI system does not easily work the same way for every keyboard. They say the AI model must be trained separately for each keyboard, providing additional references to understand what character each keystroke corresponds to. The study says people can mitigate these kinds of attacks if they change their typing style. Scientists found that touch typing reduced the keystroke recognition accuracy from between 64 per cent to 40 per cent. They also recommend the use of randomised passwords featuring multiple cases as means of defence against such attacks. Since large language models such as ChatGPT are able to predict succeeding characters to complete words, scientists say passwords containing full words may be at greater risk. Randomly generated fake keystrokes to transmitted audio was also found to reduce the risk of such password theft. Using biometric password like fingerprint or face scanning instead typed ones can also help mitigate risk of such cyber attacks, researchers say. Read More Hackers crack Tesla software to get free features Famed computer hacker Kevin Mitnick dies at age 59 Stolen ChatGPT accounts for sale on the dark web Nuclear fusion milestone achieved in huge boost for near-limitless clean energy Tesla’s ‘Master of Coin’ is stepping down after 13-year stint at EV company Now even Zoom tells staff: ‘Come back to the office’

US antitrust agencies stepped up the Biden administration’s crackdown on mergers and acquisitions with a sweeping overhaul of

TAMPA BAY, Fla. & LAS VEGAS--(BUSINESS WIRE)--Jul 20, 2023--

You can find every track available in Forza Motorsport at launch here.

Ten years after publishing her book “Lean In: Women, Work and the Will to Lead,” Sheryl Sandberg will launch a girls leadership program Thursday through her foundation to respond to what she calls stubborn gender inequities

Complaints about how cloud service providers try to prevent customers from switching to rivals was the focus of

Andrew Tate emphasized the significance of brotherhood and stated that attempting to accomplish everything as a 'lone wolf' is not feasible

To get the Valorant Scare Tactics Player Card for free, players must link their Amazon Prime and Riot Games accounts to claim the reward by Nov. 27, 2023.

Planet-like objects in the Orion Nebula have been revealed for the first time in images from the James Webb Space Telescope. The Orion Nebula, one of the brightest nebulae in the night sky, has long presented astronomers with an abundance of celestial objects to study. It is identifiable as the sword in the Orion constellation and is located 1,300 light-years from Earth. Astronomers managed to discover unprecedented details by capturing mosaics of the Orion Nebula in short and long wavelengths of light. Whilst searching for low-mass objects, astronomers Samuel G. Pearson - a European Space Agency research fellow at the European Space Research and Technology Centre in the Netherlands - and Mark J. McCaughrean - senior adviser for science and exploration at the European Space Agency - came across something they had never before seen. Their discovery appears to defy some fundamental astronomical theories: pairs of planet-like objects with masses between 0.6 and 13 times the mass of Jupiter. They have been dubbed Jupiter Mass Binary Objects, or JuMBOs. "Although some of them are more massive than the planet Jupiter, they will be roughly the same size and only slightly large," said Pearson. The astronomers found 40 pairs of JuMBOs, and although they exist in pairs, the objects are typically about 200 astronomical units apart, or 200 times the distance between Earth and the sun. This means it can take between 20,000 and 80,000 years for the objects to complete an orbit around each other. McCaughrean and Pearson have written two research papers based on their discoveries in the Orion Nebula. The preliminary findings are available on a preprint site called arXiv whilst the studies have been submitted to academic journals for publication. But many questions about JuMBOs remain. "Scientists have been working on theories and models of star and planet formation for decades, but none of them have ever predicted that we would find pairs of super low mass objects floating alone in space - and we're seeing lots of them," Pearson said. "The main that we learn for this is that there is something fundamentally wrong with either our understanding of planet formation, star formation, or both." Sign up to our free Indy100 weekly newsletter Have your say in our news democracy. Click the upvote icon at the top of the page to help raise this article through the indy100 rankings.

The clip also revealed a delightful surprise that Dunne had kept hidden from her Instagram followers, a pair of eye-catching purple cowgirl boots