Collaborating Authors


Elon Musk fathered twins with one of his executives last year – report

The Guardian

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.

Break through language barriers with Amazon Transcribe, Amazon Translate, and Amazon Polly


Imagine a surgeon taking video calls with patients across the globe without the need of a human translator. What if a fledgling startup could easily expand their product across borders and into new geographical markets by offering fluid, accurate, multilingual customer support and sales, all without the need of a live human translator? What happens to your business when you're no longer bound by language? It's common today to have virtual meetings with international teams and customers that speak many different languages. Whether they're internal or external meetings, meaning often gets lost in complex discussions and you may encounter language barriers that prevent you from being as effective as you could be.

Meta's massive multilingual translation opus still stumbles on Greek, Armenian, Oromo


"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.

Using AI in agriculture could boost global food security – but we need to anticipate the risks


As the global population has expanded over time, agricultural modernisation has been humanity's prevailing approach to staving off famine. A variety of mechanical and chemical innovations delivered during the 1950s and 1960s represented the third agricultural revolution. The adoption of pesticides, fertilisers and high-yield crop breeds, among other measures, transformed agriculture and ensured a secure food supply for many millions of people over several decades. Concurrently, modern agriculture has emerged as a culprit of global warming, responsible for one-third of greenhouse gas emissions, namely carbon dioxide and methane. Meanwhile, inflation on the price of food is reaching an all-time high, while malnutrition is rising dramatically.

12 Best AI Tools for Marketers Who Want to Win This Year


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's latest AI model will make content available in hundreds of languages


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.

Bhasha Daan : An crowdsourcing initiative for Indian languages


Bhasha Daan: An crowdsourcing initiative for Indian languages that will be as Indian, as you and I. We invite you to contribute data to develop Speech Recognition, Text-to-Speech, Machine Translation and Optical Character Recognition for Indian languages.

Sparse Weight Activation Training- Reduce memory and training time in Machine Learning


A little bit ago, I covered Google AI's pathways architecture, calling it a revolution in Machine Learning. One of the standouts in Google's novel approach was the implementation of sparse activation in their training architecture. I liked this idea so much that I decided to explore this in a lot more depth. That's where I came across Sparse Weight Activation Training (SWAT), by some researchers at the Department of Electrical And Computer Engineering, University of British Columbia. And the paper definitely has me excited.

justoutsourcing first draft AI writing software - Google Search


This AI program generates comprehensible articles and stories in mere seconds with keyword support, template editing, an automated spelling and grammar--... How much does first draft cost? What is a First Draft? Should you edit while writing your first draft? What do first draft editors look for? Create high-quality SEO content with First Draft, an AI content generator and artificially intelligent text editor with over 5,000 sentence prompts and over--... First Draft is an OFFLINE fiction and non-fiction content generator.

Meta's AI can translate between 204 languages, including rare ones

New Scientist

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.