The Large language models (LLMs) have showcased superior capabilities in sophisticated tasks across various domains, stemming from basic question-answer (QA), they are nowadays used as decision assistants or explainers for unfamiliar content. However, they are not always correct due to the data sparsity in specific domain corpus, or the model's hallucination problems. Given this, how much should we trust the responses from LLMs? This paper presents a novel way to evaluate the uncertainty that captures the directional instability, by constructing a directional graph from entailment probabilities, and we innovatively conduct Random Walk Laplacian given the asymmetric property of a constructed directed graph, then the uncertainty is aggregated by the derived eigenvalues from the Laplacian process. We also provide a way to incorporate the existing work's semantics uncertainty with our proposed layer. Besides, this paper identifies the vagueness issues in the raw response set and proposes an augmentation approach to mitigate such a problem, we conducted extensive empirical experiments and demonstrated the superiority of our proposed solutions.

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. The falling-block video game Tetris has met its match in 13-year-old Willis Gibson, who has become the first player to officially "beat" the original Nintendo version of the game -- by breaking it. Technically, Willis -- aka "blue scuti" in the gaming world -- made it to what gamers call a "kill screen," a point where the Tetris code glitches, crashing the game. That might not sound like much of a victory to anyone thinking that only high scores count, but it's a highly coveted achievement in the world of video games, where records involve pushing hardware and software to their limits.

'John Wick' actor praised for respect of personal space; Raymond Arroyo breaks down his'Friday Follies.' In Wired's March cover story, the "John Wick" star shared his concerns about the technology, a form of synthetic media that projects a person's likeness onto another photo or video. "What's frustrating about that is you lose your agency," Reeves told the magazine. "When you give a performance in a film, you know you're going to be edited, but you're participating in that. If you go into deepfake land, it has none of your points of view. He continued, "It's going to be interesting to see how humans deal with these technologies.

The manufacturing industry (largely) welcomed artificial intelligence with open arms. Planning for mechanical assemblies still requires more than scratching out some sketches, of course -- it's a complex conundrum that means dealing with arbitrary 3D shapes and highly constrained motion required for real-world assemblies. Human engineers, understandably, need to jump in the ring and manually design assembly plans and instructions before sending the parts to assembly lines, and this manual nature translates to high labor costs and the potential for error. In a quest to ease some of said burdens, researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL), Autodesk Research, and Texas A&M University came up with a method to automatically assemble products that's accurate, efficient, and generalizable to a wide range of complex real-world assemblies. Their algorithm efficiently determines the order for multipart assembly, and then searches for a physically realistic motion path for each step.

Acrolinx, the AI-powered Content Impact Platform designed to maximize the impact of enterprise content, is launching WordBirds, a new podcast for content creators. Upcoming episodes feature content experts from some of the biggest names in business, including Microsoft, Wayfair, Accenture, and Riot Games. Businesses are learning that spellcheck doesn't cut it anymore. If enterprise operations want their content to succeed in generating leads, fueling revenue, and building customer loyalty, their content can't just be grammatically correct – it needs to connect with their audience. That connection is at the core of successful, impactful content that accomplishes business goals like higher brand loyalty, repeat customers, and better ROI.

The manufacturing industry (largely) welcomed artificial intelligence with open arms. However, planning for mechanical assemblies still requires more than scratching out some sketches, of course--it's a complex conundrum that means dealing with arbitrary 3D shapes and highly constrained motion required for real-world assemblies. Human engineers, understandably, need to jump in the ring and manually design assembly plans and instructions before sending the parts to assembly lines, and this manual nature translates to high labor costs and the potential to be riddled with errors. In a quest to ease some of said burdens, researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL), Autodesk Research, and Texas A&M University came up with a method to automatically assemble products that's accurate, efficient and generalizable to a wide range of complex real-world assemblies. Their algorithm efficiently determines the order for multi-part assembly, and then searches for a physically realistic motion path for each step.

Join us on November 9 to learn how to successfully innovate and achieve efficiency by upskilling and scaling citizen developers at the Low-Code/No-Code Summit. "Deepfake implies unauthorized use of synthetic media and generative artificial intelligence -- we are authorized from the get-go," she told VentureBeat. She described the Tel Aviv- and New York-based Hour One as an AI company that has also "built a legal and ethical framework for how to engage with real people to generate their likeness in digital form." It's an important delineation in an era when deepfakes, or synthetic media in which a person in an existing image or video is replaced with someone else's likeness, has gotten a boatload of bad press -- not surprisingly, given deepfakes' longstanding connection to revenge porn and fake news. The term "deepfake" can be traced to a Reddit user in 2017 named "deepfakes" who, along with others in the community, shared videos, many involving celebrity faces swapped onto the bodies of actresses in pornographic videos.

And last month a promotional video for machine-learning firm Paperspace Co. showed talking semblances of the actors Tom Cruise and Leonardo DiCaprio. None of these celebrities ever spent a moment filming these campaigns. In the cases of Messrs. Musk, Cruise and DiCaprio, they never even agreed to endorse the companies in question. All the videos of digital simulations were created with so-called deepfake technology, which uses computer-generated renditions to make the Hollywood and business notables say and do things they never actually said or did. Some of the ads are broad parodies, and the meshing of the digital to the analog in the best of cases might not fool an alert viewer.

And last month a promotional video for machine-learning firm Paperspace Co. showed talking semblances of the actors Tom Cruise and Leonardo DiCaprio. None of these celebrities ever spent a moment filming these campaigns. In the cases of Messrs. Musk, Cruise and DiCaprio, they never even agreed to endorse the companies in question. All the videos of digital simulations were created with so-called deepfake technology, which uses computer-generated renditions to make the Hollywood and business notables say and do things they never actually said or did. Some of the ads are broad parodies, and the meshing of the digital to the analog in the best of cases might not fool an alert viewer.

According to the BBC and the Hollywood Reporter, a representative for Bruce Willis said, "Please know that Bruce has no partnership or agreement with this Deepcake company." The original Telegraph report we cited appears to be in error, and it's unclear whether Deepcake ever had the permission to use Willis' likeness beyond a 2021 Russian cell phone commercial. We have published a new piece with more details. Bruce Willis has sold the "digital twin" rights to his likeness for commercial video production use, according to a report by The Telegraph. This move allows the Hollywood actor to digitally appear in future commercials and possibly even films, and he has already appeared in a Russian commercial using the technology.