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Players have been having a hard time locating Halsin in Baldur's Gate 3. Here's where you can find the missing Druid.

Apple has finally unveiled a new improvement to its autocorrect feature, much to the enjoyment of expletive lovers. On Monday (6 June), the tech company announced a number of software updates will soon be available to iPhone users as part of Apple’s new iOS 17 operating system. While speaking at Apple’s Worldwide Developers Conference in California, senior vice president of software engineering Craig Federighi shared that Apple will also upgrade the autocorrect feature that annoyingly changes one of the most common swear words to “ducking”. “In those moments where you just want to type a ducking word, well, the keyboard will learn it, too,” he said. The upgraded autocorrect feature will be assisted by artificial intelligence (AI). According to TechCrunch, the “Transformer” AI model will accurately predict the next words and phrases iPhone users might send. Over time, the new autocorrect feature will learn to predict words that are used most frequently, including swear words. The autocorrect change is expected to drop alongside Apple’s new iOS 17, which is expected to be available as a public beta in July and a general release to come out in September. Autocorrect has been a longstanding feature of Apple products, automatically substituting corrections for mistakes in spelling or grammar. But the “ducking” substitution has long been a source of annoyance for those who’ve had to rewrite texts, particularly when they may already be wanting to express a degree of frustration. The autocorrect feature wasn’t the only upgrade Apple announced at its WWDC event on Monday. In iOS 17, iPhones will also come with new mental health features, in the form of a journal and mood tracking tools that will integrate with the Health app. The Sensitive Content Warning feature will warn adult users about nude photos and videos with a pop-up asking if they want to see the content, and the new “Check In” lets users tell friends or family members they’ve reached their destination safely. Perhaps the biggest announcement was the company’s new $3,499 (£2,800) Vision Pro headset, which combines virtual reality and augmented reality using its own software – VisionOS. The new virtual reality headset will allow people to see apps projected on top of the room around them, allowing apps to be “freed from the confines of a display”. The headset is made with glass on the front and inside, as well as an aluminium frame and a soft band that wraps around the head. Vision Pro users will be able to sit in their living room, for example, and see their apps projected in front of them, on top of their coffee table, or while doing the dishes. The Apple Vision Pro headset won’t be available to purchase until early 2024. Read More Apple Vision Pro – latest: ‘Revolutionary’ $3,499 VR headset heralds ‘new era’ iOS 17: Apple lets users get iPhone update and other new operating systems early iOS 17 release date and compatibility: When Apple will release new iPhone, iPad and Mac updates – and which will get it Apple lets people get brand new iPhone update early – but there’s a very big warning The price of Apple’s Vision Pro headset is truly out of this world The glaring omission from Apple’s AR headset launch

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Even though the Supreme Court struck down President Joe Biden's student loan forgiveness program, more debt will be canceled during his time in office than under any other president.

Scientists have revealed they had found a way to combine the technology of brain scans and artificial intelligence to transcribe “the gist” of people’s thoughts. Alex Huth, an assistant professor of neuroscience and computing science at the University of Texas at Austin, and a co-author on the new study published in Nature Neuroscience, said that ‘this is a real leap forward.’ The study was led by Huth and Jerry Tang, a doctoral student in computer science. The main development from this study is that it’s non-invasive. This means that subjects do not require surgical implants. Instead, brain activity is measured using a functional magnetic resonance imaging (fMRI) scanner. Sign up to our free Indy100 weekly newsletter In the study, individuals listened to hours of podcasts in the scanner. Then, given the participant’s consent to have their thoughts decoded, they listened to a new story and the machine-generated corresponding texts from brain activity. It’s not a word-for-word transcript. For example, when an individual heard the phrase ‘I don’t have my driver’s licence yet’, the model decoded the individual’s thoughts to read as ‘she has not even started to learn to drive yet.’ Even when participants thought up their own stories, the machine was able to decode their thoughts still. Tang acknowledged that the advancements made in the study had the potential for negative aftermath. Tang said, ‘we take very seriously the concerns that it could be used for bad purposes and have worked to avoid that.’ They ran tests that highlighted that unless the machine had been trained on an individual’s particular brain activity, it could not decode its thoughts. An individual had to allow for the machine to train their brain activity over a long period of time inside a fMRI scanner for it to work. Researchers also found that it was easy to ‘sabotage’ the machine. Three participants were told to tell a different story in their mind, or count by seven, while listening to one of the podcasts. The study highlights even more development with artificial intelligence, after the popularity of OpenAI’s Chat GPT has sparked debate around the potential of AI. 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.

SAN DIEGO--(BUSINESS WIRE)--Jul 20, 2023--

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TL;DR: As of August 24, you can get the Mini Body Camera Video Recorder for