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Researchers develop method enabling LLMs to answer questions more concisely and accuratelyLarge language models (LLMs) are machine-learning models designed to understand and generate human language. State-of-the-art LLMs have demonstrated outstanding potential in open-domain question answering (ODQA), where the model is tasked with providing answers to factual questions.... Read more
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Towards a safe Society 5.0: Reinforcement learning pentesting agent training in realistic network environmentsEnsuring the security of network systems and infrastructure is a critical aspect of cybersecurity. Penetration testing (pentesting) is an effective method for evaluating the network security posture.... Read more
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DeepMind researchers find LLMs can serve as effective mediatorsA team of AI researchers with Google's DeepMind London group has found that certain large language models (LLMs) can serve as effective mediators between groups of people with differing viewpoints regarding a given topic. The work is published in the journal Science.... Read more
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AI models for remote object detection are vulnerable to both physical and digital attacks, research findsToday, our understanding and assessment of the physical characteristics of the world around us relies less and less on human intelligence and more and more on artificial intelligence.... Read more
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Combining next-token prediction and video diffusion in computer vision and roboticsIn the current AI zeitgeist, sequence models have skyrocketed in popularity for their ability to analyze data and predict what to do next. For instance, you've likely used next-token prediction models like ChatGPT, which anticipate each word (token) in a sequence to form answers to users' queries. There are also... Read more
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Trust is not the answer: Rethinking human-machine interaction for ethical engineeringIn his article, "Trust is Not a Virtue: Why We Should Not Trust," Matthew L. Bolton, an associate professor of systems and information engineering at the University of Virginia, critically challenges the emphasis on fostering trust in human-machine interactions. He focuses particularly on systems using AI, machine learning and automation.... Read more
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Humans sympathize with, and protect, AI bots from playtime exclusion, finds studyIn an Imperial College London study, humans displayed sympathy towards and protected AI bots who were excluded from playtime. The researchers say the study, which used a virtual ball game, highlights humans' tendency to treat AI agents as social beings—an inclination that should be considered when designing AI bots.... Read more
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Why Nevada casinos won't use a new gun-detection system being used in other statesA tribal casino in Oklahoma is using an app tied to its surveillance camera system that uses artificial intelligence to detect patrons carrying firearms.... Read more
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For Deaf people, train travel can be a gamble—AI-powered Auslan avatar can helpFor Deaf people, train travel can be a gamble. On an average day, nothing goes wrong: they catch their train to their destination and carry on with their business.... Read more
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AI-driven video analyzer sets new standards in human action detectionWhat if a security camera could not only capture video but understand what's happening—distinguishing between routine activities and potentially dangerous behavior in real time? That's the future being shaped by researchers at the University of Virginia's School of Engineering and Applied Science with their latest breakthrough: an AI-driven intelligent video... Read more
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Researchers develop a new generative adversarial networks model that stabilizes training and performanceIn recent years, artificial intelligence (AI) and deep learning models have advanced rapidly, becoming easily accessible. This has enabled people, even those without specialized expertise, to perform various tasks with AI. Among these models, generative adversarial networks (GANs) stand out for their outstanding performance in generating new data instances with... Read more
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AI-driven system enhances manufacturing speed and qualityResearchers at the University of Virginia have made a significant advancement in manufacturing technology by developing an AI-driven system that could transform how factories operate. Using Multi-Agent Reinforcement Learning (MARL), the team has created a more efficient way to optimize manufacturing systems, improving both speed and quality while reducing waste.... Read more
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New technique could help self-driving cars see their surroundings betterThanks to a technique developed by researchers at NC State University, autonomous vehicles might one day be able to navigate the roadways much better. The technique allows artificial intelligence programs to more accurately map three-dimensional spaces using two-dimensional images.... Read more
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AI is creeping into the visual effects industry—and it could take the human touch out of film and TVFrom the mind-bending reality warps of Doctor Strange in the Multiverse of Madness (2022) to the breathtaking alien vistas of Avatar: The Way of Water (2022), visual effects have transported us to worlds beyond imagination. Yet the future of visual effects (VFX) could hang in the balance as artificial intelligence... Read more
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Researchers harness generative AI to preserve Cantonese porcelain art and heritageThe advent of generative artificial intelligence (AI) has sparked concerns about the diminishing value of traditional art forms and the potential for substitution. Nonetheless, through their fusion, they offer new avenues for conserving art and culture while also igniting interest in passing down the heritage from generation to generation.... Read more