Elon Musk fathered two children in 2021 with Shivon Zilis, a top executive at his artificial intelligence company Neuralink, new court documents show. The world's wealthiest man now has nine known children, including five children with his first wife, Justine Musk, and two with the singer Claire Boucher, known professionally as Grimes. Court documents obtained by Insider and published on Wednesday showed that Elon Musk and Zilis filed a petition to change their twin babies' names to "have their father's last name and contain their mother's last name as part of their middle name". The petition was filed in Austin, Texas, where the babies were born, and was approved by the judge. Zilis reportedly gave birth in November 2021, weeks before Musk and Boucher had their second child via a surrogate.
"Broadly accessible machine translation systems support around 130 languages; our goal is to bring this number up to 200," the authors write as their mission statement. Meta Properties, owner of Facebook, Instagram and WhatsApp, on Wednesday unveiled its latest effort in machine translation, a 190-page opus describing how it has used deep learning forms of neural nets to double state-of-the-art translation for languages to 202 languages, many of them so-called "low resource" languages such as West Central Oromo, a language of the Oromia state of Ethiopia, Tamasheq, spoken in Algeria and several other parts of Northern Africa, and Waray, the language of the Waray people of the Philippines. The report by a team of researchers at Meta, along with scholars at UC Berkeley and Johns Hopkins, "No Language Left Behind: Scaling Human-Centered Machine Translation," is posted on Facebook's AI research Web site, along with a companion blog post, and both should be required reading for the rich detail on the matter. "Broadly accessible machine translation systems support around 130 languages; our goal is to bring this number up to 200," they write as their mission statement. As Stephanie relates, Meta is open-sourcing its data sets and neural network model code on GitHub, and also offering $200,000 I'm awards to outside uses of the technology.
In this era of big data, AI tools should be every marketer's co-pilot. When you consider complex consumer habits, dwindling attention spans and ever-changing algorithms, you'll agree that you need AI to win. This means that there is no better time than now for you to stack up on intelligent tools that save you hours in manual labor and help you build highly-efficient, scalable processes. In this article, we'll go in-depth on the best AI tools for marketers based on your selected marketing channel and specific goals. Artificial Intelligence (AI) tools are software or digital tools built with machine learning algorithms to automate costly time-consuming tasks.
Meta has open-sourced an AI model that can translate across 200 different languages, the company announced Wednesday -- a move that should open up different technologies and digital content to a much wider audience. The model, called No Language Left Behind, can translate across 200 languages, including 55 African languages, with high-quality results. "A handful of languages -- including English, Mandarin, Spanish and Arabic -- dominate the web," the company noted in a blog post. "Native speakers of these very widely spoken languages may take for granted how meaningful it is to read something in your own mother tongue. NLLB will help more people read things in their preferred language, rather than always requiring an intermediary language that often gets the sentiment or content wrong." Meta is of course using NLLB to improve its own products, but by open sourcing the model, technologists can use it to build other tools -- like an AI assistant that works well in languages such as Javanese and Uzbek, or closed captioning in Swahili or Oromo for Bollywood movies.
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Facebook's owner Meta has created an artificial intelligence model that can translate 204 written languages and has released it under an open source licence so that anyone can use or improve the software. The company claims that the AI supports more languages and provides higher-quality translations than world-leading software. The model, called No Language Left Behind, supports dozens more text-based languages than Google Translate, which currently works for 133, and Microsoft Translator, which caters for 110.
The Department of Computer Science at Royal Holloway, University of London, is looking to appoint multiple academic members of staff to support its research and teaching. For details, see here: https://jobs.royalholloway.ac.uk/Vacancy.aspx?ref 0622-261 Machine learning is a key field of research in the department.
When Roe v. Wade was overturned, Team Meat, creator of classic platformer Super Meat Boy, had one thing to say: "The Supreme Court can go fuck itself." It's been little more than a week since the court handed down its landmark ruling in Dobbs v. Jackson Women's Health Organization, ending the legal right to abortion in the United States. A person's ability to get the healthcare they need will now be determined by a patchwork of state-by-state laws and policies. Team Meat's tweet, composed by the company's social media manager, is the organization's official stance on the matter. "Everyone at Team Meat stands by this fully," cofounder Tommy Refenes tells WIRED.
As any great illusionist will tell you, the whole point of a staged illusion is to look utterly convincing, to make whatever is happening on stage seem so thoroughly real that the average audience member would have no way of figuring out how the illusion works. If this were not the case, it would not be an illusion and the illusionist would essentially be without a job. In this analogy, Google is the illusionist and its LaMDA chatbot – which made headlines a few weeks ago after a top engineer claimed the conversational AI had achieved sentience – is the illusion. That is to say, despite the surge of excitement and speculation on social media and in the media in general, and despite the engineer's claims, LaMDA is not sentient. This is, of course, the million dollar question – to which there is currently no answer.