CyberGuy lists some wireless earbuds to help you choose the best one for you. This year's Consumer Electronics Show debuted tons of state-of-the-art technology, and people are already going nuts over it. CLICK TO GET KURT'S CYBERGUY NEWSLETTER WITH QUICK TIPS, TECH REVIEWS, SECURITY ALERTS AND EASY HOW-TO'S TO MAKE YOU SMARTER There's a lot to be excited about, and a bit weirded out about - too, from bird feeders with cameras to pillows that breathe and even a self-driving stroller. Not sure that is mom approved. The AI-powered hummingbird feeder comes with a camera that can capture photos and videos of over 350 different hummingbird species. This just might be the coolest bird feeder around.

If you grew up on Saturday morning cartoons, the opening of M3gan is like a Proustian madeleine in TV-commercial form, a gaudy, blaring 30-second spot for children's toys that promise unending hours of fun. And what follows next will be just as familiar: the sharp feeling of disappointment. The ad for "Purrpetual Pets" promises fuzzy computerized companions that will be tireless playmates for as long as you can keep them charged. The one we see 8-year-old Cady (Violet McGraw) playing with in the back seat, as her quarreling parents navigate a mountain road in a whiteout blizzard, mostly seems to make fart noises while prompting her to feed it simulated treats. Although M3gan eventually becomes a movie about a technology so successful that it surpasses both its creator's dreams and her control, it starts off as a reminder that, in the vast majority of cases, the promises that code could take on the functions of humans have either ended in failure or, just as often, a scaling-down of expectations.

The Museum of Art and Photography (MAP) is a curious case study of India's changing relationship with art. Industrialist Abhishek Poddar's philanthropic initiative to make his formidable collection of art, photography and textiles available to the public took off as a digital platform in 2016. Since then, the museum has launched a series of educational ventures in collaboration with notable international museums like The Metropolitan Museum of Art in New York and the Victoria and Albert Museum in London, as well as tech giants like Accenture and Microsoft. Now, in a reversal of the usual offline-to-digital transition that most museums are forced to make, MAP will take physical form in the heart of Bengaluru at a stunning five-storey museum, set to open to the public in mid February 2023. It will include four large galleries, an extensive library, a multimedia gallery, a 130-seat auditorium, a technology centre, a sculpture courtyard, a research and conservation laboratory, a learning centre, a gift store, a café, and a fine-dining restaurant on the terrace.

Misinformation threatens modern society by promoting distrust in science, changing narratives in public health, heightening social polarization, and disrupting democratic elections and financial markets, among a myriad of other societal harms. To address this, a growing cadre of professional fact-checkers and journalists provide high-quality investigations into purported facts. However, these largely manual efforts have struggled to match the enormous scale of the problem. In response, a growing body of Natural Language Processing (NLP) technologies have been proposed for more scalable fact-checking. Despite tremendous growth in such research, however, practical adoption of NLP technologies for fact-checking still remains in its infancy today. In this work, we review the capabilities and limitations of the current NLP technologies for fact-checking. Our particular focus is to further chart the design space for how these technologies can be harnessed and refined in order to better meet the needs of human fact-checkers. To do so, we review key aspects of NLP-based fact-checking: task formulation, dataset construction, modeling, and human-centered strategies, such as explainable models and human-in-the-loop approaches. Next, we review the efficacy of applying NLP-based fact-checking tools to assist human fact-checkers. We recommend that future research include collaboration with fact-checker stakeholders early on in NLP research, as well as incorporation of human-centered design practices in model development, in order to further guide technology development for human use and practical adoption. Finally, we advocate for more research on benchmark development supporting extrinsic evaluation of human-centered fact-checking technologies.

Come check out the highlights of the week with Showmetech TRIO! We will also talk about the changes that Elon Musk did in his early days as owner of the Twitter. In addition, we compared the cameras of the Galaxy S22 Ultra and Google Pixel 7 Pro, great highlights of the Google e Samsung for the year 2022. Come check out the highlights of the week with the Showmetech TRIO! Officialized on October 27, 2022, the purchase of Twitter finally had an ending: Elon Musk finally is the owner of the social network. Despite having many chapters that include a process in court and even withdrawal by Musk, we can finally announce that yes, the owner of Tesla also owns Twitter.

Captioning is a crucial and challenging task for video understanding. In videos that involve active agents such as humans, the agent's actions can bring about myriad changes in the scene. Observable changes such as movements, manipulations, and transformations of the objects in the scene, are reflected in conventional video captioning. Unlike images, actions in videos are also inherently linked to social aspects such as intentions (why the action is taking place), effects (what changes due to the action), and attributes that describe the agent. Thus for video understanding, such as when captioning videos or when answering questions about videos, one must have an understanding of these commonsense aspects. We present the first work on generating commonsense captions directly from videos, to describe latent aspects such as intentions, effects, and attributes. We present a new dataset "Video-to-Commonsense (V2C)" that contains $\sim9k$ videos of human agents performing various actions, annotated with 3 types of commonsense descriptions. Additionally we explore the use of open-ended video-based commonsense question answering (V2C-QA) as a way to enrich our captions. Both the generation task and the QA task can be used to enrich video captions.

We propose the hierarchical recursive neural network (HERO) to predict fake news by learning its linguistic style, which is distinguishable from the truth, as psychological theories reveal. We first generate the hierarchical linguistic tree of news documents; by doing so, we translate each news document's linguistic style into its writer's usage of words and how these words are recursively structured as phrases, sentences, paragraphs, and, ultimately, the document. By integrating the hierarchical linguistic tree with the neural network, the proposed method learns and classifies the representation of news documents by capturing their locally sequential and globally recursive structures that are linguistically meaningful. It is the first work offering the hierarchical linguistic tree and the neural network preserving the tree information to our best knowledge. Experimental results based on public real-world datasets demonstrate the proposed method's effectiveness, which can outperform state-of-the-art techniques in classifying short and long news documents. We also examine the differential linguistic style of fake news and the truth and observe some patterns of fake news. The code and data have been publicly available.

For die-hards, no horror movie can be too scary. But for you, a wimp, the wrong one can leave you miserable. Never fear, scaredies, because Slate's Scaredy Scale is here to help. We've put together a highly scientific and mostly spoiler-free system for rating new horror movies, comparing them with classics along a 10-point scale. And because not everyone is scared by the same things--some viewers can't stand jump scares, while others are haunted by more psychological terrors or can't stomach arterial spurts--it breaks down each movie's scares across three criteria: suspense, spookiness, and gore.

But in the future, will humans still be the most popular storytellers or will robots end up dominating the booming industry? Well Apple clearly thinks there's a market for the latter as it has quietly launched a catalogue of books that are narrated by artificial intelligence. This new feature is just the start of what will be a fierce battle with the likes of Amazon and Spotify for an industry that insiders think could be worth more than $35 billion (£29 billion) by 2030. You can find the robot-voiced audiobooks, which use text-to-speech translation, by searching for'AI narration' on Apple's Books app. There are two types of AI voice available to choose from, both of which have an American accent and speak only in English.

A Times journalist on location in Qatar photographs the match, capturing images in high-speed bursts, trying to anticipate important moments with a broad view of the field. In collaboration with The Times's newsroom in the U.S., they identify a key moment in the match and transmit the photograph of that moment. From that photo, we calculate the 3D position of the photographer's camera. We can do so mathematically using the standard size of the goal and penalty area as geometric guides. Once we know the camera position, we project the image onto 3D geometry that represents the field and stands where the game was played.