Now that we have all the predictions, we can combine them into a single score. To do this, multiple passes are needed to save computational power and to apply rules, such as content type diversity (i.e., content type should be varied so that viewers don't see redundant content types, such as multiple videos, one after another), that depend on an initial ranking score. First, certain integrity processes are applied to every post. These are designed to determine which integrity detection measures, if any, need to be applied to the stories selected for ranking. Then, in pass 0, a lightweight model is run to select approximately 500 of the most relevant posts for Juan that are eligible for ranking.

Online users today are exposed to misleading and propagandistic news articles and media posts on a daily basis. To counter thus, a number of approaches have been designed aiming to achieve a healthier and safer online news and media consumption. Automatic systems are able to support humans in detecting such content; yet, a major impediment to their broad adoption is that besides being accurate, the decisions of such systems need also to be interpretable in order to be trusted and widely adopted by users. Since misleading and propagandistic content influences readers through the use of a number of deception techniques, we propose to detect and to show the use of such techniques as a way to offer interpretability. In particular, we define qualitatively descriptive features and we analyze their suitability for detecting deception techniques. We further show that our interpretable features can be easily combined with pre-trained language models, yielding state-of-the-art results.

The love between a human and a robot is no longer just the plot of a science fiction movie or'Black Mirror' . Futuristic predictions caught up with us and the proof of this is that cases have been reported of users ending up in psychological therapy for falling in love with the robot XiaoIce, the most popular virtual assistant with Artificial Intelligence (AI) in China. XiaoIce is an advanced AI system, designed as a chatbot to create emotional bonds with its users, and is found on most Chinese smartphones and social platforms. Today, XiaoIce has 150 million users in China alone, and 660 million worldwide. According to Li Di, founder and CEO of the firm, it currently attends about 60% of global interactions between humans and AI, placing it among the top virtual assistants in the market, according to statements to AFP.

Most of us will never be able to visit space, much less experience what it's like to do a spacewalk. Even billionaires who can afford to pay for a trip beyond the atmosphere of our planet -- or at least somewhere in that vicinity -- can only look out from their spaceships. Episodes 3 and 4 of the immersive series Space Explorers: The ISS Experience, however, will give you a way to see what it's like to float around in space. To make that happen, Felix & Paul Studios, one of the series' creators, customized a virtual reality camera and attached it to the Canadarm2 robot to capture 3D, 360-degree scenes from outside the space station. Felix & Paul's "Outer Space Camera" is a customized version of the commercially available Z-Cam V1 Pro.

In the current era, people and society have grown increasingly reliant on artificial intelligence (AI) technologies. AI has the potential to drive us towards a future in which all of humanity flourishes. It also comes with substantial risks for oppression and calamity. Discussions about whether we should (re)trust AI have repeatedly emerged in recent years and in many quarters, including industry, academia, healthcare, services, and so on. Technologists and AI researchers have a responsibility to develop trustworthy AI systems. They have responded with great effort to design more responsible AI algorithms. However, existing technical solutions are narrow in scope and have been primarily directed towards algorithms for scoring or classification tasks, with an emphasis on fairness and unwanted bias. To build long-lasting trust between AI and human beings, we argue that the key is to think beyond algorithmic fairness and connect major aspects of AI that potentially cause AI’s indifferent behavior. In this survey, we provide a systematic framework of Socially Responsible AI Algorithms that aims to examine the subjects of AI indifference and the need for socially responsible AI algorithms, define the objectives, and introduce the means by which we may achieve these objectives. We further discuss how to leverage this framework to improve societal well-being through protection, information, and prevention/mitigation. This article appears in the special track on AI & Society.

A system can learn from data, identify patterns and take decisions without any human intervention – the core of machine learning (ML) revolves around this …

Kitao said FromSoftware is aware that many Dark Souls players have found its stories to be fairly impenetrable and difficult to decipher. Like the studio's previous game "Sekiro: Shadows Die Twice," "Elden Ring" will have an easier-to-grasp main narrative, though the game will retain multiple branching paths and endings. Dark Souls games are famous for their environmental storytelling, which is a big part of the franchise's allure despite its famously challenging gameplay. Kitao promises there will be plenty for players to dig through, analyze and uncover.

So far, I've only seen the trailer for the new movie Free Guy with Ryan Reynolds, but it looks like it's a lot of fun. All I know is that it's about the adventures of some guy (whose name is Guy) in a video game world where nothing is real. What's the point of using real physics to analyze a movie about a fake world? Let's consider a scene from the trailer. For some reason, Guy is running on a tall building and leaps toward a hanging wrecking ball. He misses and starts to fall.

Without a doubt, the Bang & Olufsen Beosound Level is the prettiest and best-sounding wireless streaming speaker I've encountered that operates on both AC and battery power. It holds true to the aesthetic spirit that's long driven this legendary Danish electronics brand, ever striving for a magical fusion of design and technology. But be forewarned, buying into this functional work of art isn't for the financially faint of heart: A single Beosound Level costs either $1,499 or $1,799, depending on which model you choose. You might need to rationalize this luxury indulgence as a long-term investment; like the pitch proffered for a Rolex timekeeper, or an exotic Euro sports car. And like those rare goods, the Beosound Level has a sensitive nature that in some ways demands a bit of coddling (more on that in a bit). At the heart of this device (and a few of B&O's other Wi-Fi-enabled speakers) is a new, modular circuit core called Mozart, which the manufacturer says can be swapped out for another if the onboard upgradability ever reaches its limit.

It said its technology would improve the efficiency of machine learning lifecycles. The outfit's HQ is a few blocks away from …