Reddit Inc. forged a partnership with OpenAI that will bring its content to the chatbot ChatGPT and other products, while also helping the social media company add new artificial intelligence features to its forums. Shares of Reddit, which had their initial public offering in March, jumped as much as 15% in late trading following the announcement. The agreement "will enable OpenAI's AI tools to better understand and showcase Reddit content, especially on recent topics," the companies said Thursday in a joint statement. The deal allows OpenAI to display Reddit's content and train AI systems on its partner's data. Reddit will also offer its users new AI-based tools built on models created by OpenAI, which will place ads on its partner's site.

Tumblr and WordPress are reportedly set to strike deals to sell user data to artificial intelligence companies OpenAI and Midjourney. It isn't clear which data will be included, but the report suggests Automattic may have overreached initially. An alleged internal post from Tumblr product manager Cyle Gage suggests Automattic prepared to send private or partner-related data that wasn't supposed to be included in the deal. The questionable content reportedly included private posts on public blog posts, deleted or suspended blogs, unanswered (therefore, not publicly posted) questions, private answers, posts marked explicit and content from premium partner blogs (like Apple's former music site). The internal post suggests Automattic's engineers are preparing a list of post IDs that should have been excluded.

Steph Curry is currently celebrating another NBA championship -- just 10 years after the star feared he'd never play again. Curry's early years at the Golden State Warriors were plagued by chronic ankle injuries. In 2013, the team's new performance director, Keke Lyles, proposed a new explanation for the problem. Lyles believed Curry was overly reliant on his ankles for speed. The coach devised a training program that transferred power generation to the marksman's hips.

Artificial Intelligence is poised to have a massive impact on how people and businesses operate. It will transform industries from healthcare to transportation and retail. But it won't just affect things from your favorite apps to your day-to-day life. It's going to have a major impact on your company too. Think about the ways AI could help your company.

Google has updated its Google Photos app on Android with a new option that lets users tell the search giant about the contents of their pictures. By labeling these images, Google can improve its object recognition algorithms, which in turn make Photos more useful. It's a virtuous cycle of AI development best deployed by tech giants like Google which have lots of data and lots of users. Machine learning systems don't just learn by themselves, and the vast majority of these applications need to be taught using data labeled by humans. It's the same reason that CAPTCHAs ask you to identify cars and motorbikes in images.

In recent years, deep learning models have produced a substantial amount of advances in various areas, including computer vision. Computer vision typically usually works by analysing images that have been captured using the physical camera sensor, followed by a human-in-the-loop process that requires annotators to label things of interest. It's important to note that the more sophisticated the annotation is, the more laborious labelling can be. But it provides for a much richer analysis of the image itself. For example, for spotting a tiny detail within an image, a simple bounding box around the object might suffice. But once you start looking to get a robot to grasp something, you might need a segmentation mask to flesh out the fine contours of the object.

Let's be real: When you download a new app, you probably don't bother to read its privacy policy first. I write about privacy as a journalist and even I rarely bother to read those policies. They're written in eye-glazing legalese perfectly calibrated to make any normal human being want to stop reading as soon as possible. Who can blame us for rushing to check that little box that says we agree to the terms of service? Now, a new tool called Guard promises to read the privacy policies of various apps for us.

Job training is always important, but in the military it can mean the difference between life and death. Researchers at NC State University are working with the U.S. Army Futures Command (AFC) to develop artificial intelligence (AI) tools that can be used to improve squad training – and save lives. "We're developing AI programs that address two aspects of training, specifically for the synthetic training environments the Army uses to prepare its personnel," says Randall Spain, a research scientist in NC State's Center for Educational Informatics (CEI) who is working on the project. "One tool is focused on assessing team-level communication, which is critical to mission success and soldier safety. The second tool is focused on identifying the most effective ways of providing feedback to trainees."

A new website can turn your selfies into Renaissance works of art by re-imagining them in classical portrait form. There's a number of styles included in the database, covering artists from Rembrandt to Titian to van Gogh which allows it to render your face in oil, watercolour or ink. Unlike similar apps like FaceApp, the algorithm here is not merely'painting over' your face in a new style, according to the Verge. Using Deep Learning, the researchers loaded paintings from the Early Renaissance to contemporary art to help train the Generative Adversarial Network (GAN) models. MailOnline's Peter Lloyd had his image converted into a moustache-adorned Victorian MailOnline health editor Stephen Matthew (pictured) turned his Facebook profile picture of him sitting in a filed into a classical portrait with dense eyebrows.

Here in 2018, big data is a big deal in China, and nowhere is this truer than in Guizhou, a remote, impoverished province in southwestern China where the provincial government is trying to build a big data industry from scratch. As He Yuan -- a manager at the Shanghai-based company Beige Big Data, which has an office in Guizhou -- put it to me in a recent visit to the province: "Everyone wants a piece of big data … Many still haven't figured out what the term means, exactly." Despite this lingering confusion, the Chinese government seems fully invested in what The New York Times columnist David Brooks refers to as "data-ism" -- the belief that "everything that can be measured should be measured; that data is a transparent and reliable lens that allows us to filter out emotionalism and ideology; that data will help us do remarkable things -- like foretell the future." And Guizhou -- a province less commonly associated with cutting-edge technology and more often with rugged mountains, poor soil, and extreme poverty -- is trying to position itself at the forefront of this nationwide push. Yet for all its leaders' grand ambitions, several hurdles remain to be overcome.