Former U.S. ambassador to NATO provides insight on a potentially pivotal setback for Russia in its war on Ukraine on'The Story.' MSNBC contributor Barry R. McCaffrey, a retired four-star general, shared a video Monday of what he appeared to think was a Russian plane being shot down by Ukraine, but deleted the tweet after being informed it occurred in an animated video game. According to images of the original tweet, McCaffrey tweeted an animated image from the video game "Arma 3." MSNBC's Brian R. McCaffrey, a retired four star general, shared video of a Russian plane being shot down by Ukraine on Monday but deleted the tweet after being informed it occurred in an animated video game. McCaffrey wrote in the since-deleted tweet, "Russian aircraft getting nailed by UKR missile defense. Russians are losing large numbers of attack aircraft. UKR air defense becoming formidable," to accompany the animated image from the video game.

Fake News Detection (FND) is an essential field in natural language processing that aims to identify and check the truthfulness of major claims in a news article to decide the news veracity. FND finds its uses in preventing social, political and national damage caused due to misrepresentation of facts which may harm a certain section of society. Further, with the explosive rise in fake news dissemination over social media, including images and text, it has become imperative to identify fake news faster and more accurately. To solve this problem, this work investigates a novel multimodal stacked ensemble-based approach (SEMIFND) to fake news detection. Focus is also kept on ensuring faster performance with fewer parameters. Moreover, to improve multimodal performance, a deep unimodal analysis is done on the image modality to identify NasNet Mobile as the most appropriate model for the task. For text, an ensemble of BERT and ELECTRA is used. The approach was evaluated on two datasets: Twitter MediaEval and Weibo Corpus. The suggested framework offered accuracies of 85.80% and 86.83% on the Twitter and Weibo datasets respectively. These reported metrics are found to be superior when compared to similar recent works. Further, we also report a reduction in the number of parameters used in training when compared to recent relevant works. SEMI-FND offers an overall parameter reduction of at least 20% with unimodal parametric reduction on text being 60%. Therefore, based on the investigations presented, it is concluded that the application of a stacked ensembling significantly improves FND over other approaches while also improving speed.

What kinds of arguments do people make, and what effect do they have on others? Normative constraints on argument-making are as old as philosophy itself, but little is known about the diversity of arguments made in practice. We use NLP tools to extract patterns of argument-making from the Reddit site "Change My View" (r/CMV). This reveals six distinct argument patterns: not just the familiar deductive and inductive forms, but also arguments about definitions, relevance, possibility and cause, and personal experience. Data from r/CMV also reveal differences in efficacy: personal experience and, to a lesser extent, arguments about causation and examples, are most likely to shift a person's view, while arguments about relevance are the least. Finally, our methods reveal a gradient of argument-making preferences among users: a two-axis model, of "personal--impersonal" and "concrete--abstract", can account for nearly 80% of the strategy variance between individuals.

Understanding, modelling and predicting human risky decision-making is challenging due to intrinsic individual differences and irrationality. Fuzzy trace theory (FTT) is a powerful paradigm that explains human decision-making by incorporating gists, i.e., fuzzy representations of information which capture only its quintessential meaning. Inspired by Broniatowski and Reyna's FTT cognitive model, we propose a computational framework which combines the effects of the underlying semantics and sentiments on text-based decision-making. In particular, we introduce Category-2-Vector to learn categorical gists and categorical sentiments, and demonstrate how our computational model can be optimised to predict risky decision-making in groups and individuals.

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'Special Report' All-Star Panel reacts to the Senate voting to block a bill that would'codify' abortion nationwide. The Washington Post is facing accusations of activism over a report urging video game companies to take a stand on Roe v. Wade as the Supreme Court mulls overturning the decades-long precedent protecting the legalization of abortions on a federal level. On Wednesday, video game reporters Nathan Grayson and Shannon Liao penned a piece with the headline, "As Roe v. Wade repeal looms, video game industry stays mostly silent," documenting how giants in the gaming world are largely staying out of the abortion debate. The article began by citing Bungie, the "Destiny 2" studio owned by Sony that published a statement "in support of reproductive rights" that decried the overturning of Roe v. Wade among other studios and indie developers. The reporters appeared to side with the company as it faced viral backlash from critics, writing, "Bungie, for its part, stood firm."

We are presently living in an age of "artificial intelligence" -- but not how the companies selling "AI" would have you believe. According to Silicon Valley, machines are rapidly surpassing human performance on a variety of tasks from mundane, but well-defined and useful ones like automatic transcription to much vaguer skills like "reading comprehension" and "visual understanding." According to some, these skills even represent rapid progress toward "Artificial General Intelligence," or systems which are capable of learning new skills on their own. Given these grand and ultimately false claims, we need media coverage that holds tech companies to account. Far too often, what we get instead is breathless "gee whiz" reporting, even in venerable publications like The New York Times.

Using an ensemble of artificial intelligence (AI) agents enabled faster, more accurate data analysis of synchrotron x-ray data.

Lockheed testing artificial intelligence to fight wildfires … JEFFERSON COUNTY, Colo.

It turns out healthcare is a highly complex industry and much of the hype around the transformative promise of artificial intelligence may have …