Earlier this year, OpenAI and other artificial intelligence companies wooed Hollywood studios with the futuristic promise of AI tools that they said could help make the business of creating movies and television shows faster, easier and cheaper.Earlier this year, OpenAI and other artificial intelligence companies wooed Hollywood studios with the futuristic promise of AI tools that they said could help make the business of creating movies and television shows faster, easier and cheaper.Business[#item_full_content]
Today, 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.Today, 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.Security[#item_full_content]
In 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 full-sequence diffusion models like Sora, which convert words into dazzling, realistic visuals by successively “denoising” an entire video sequence.In 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 full-sequence diffusion models like Sora, which convert words into dazzling, realistic visuals by successively “denoising” an entire video sequence.Robotics[#item_full_content]
In 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.In 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.Other[#item_full_content]
In 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.In 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.Consumer & Gadgets[#item_full_content]
For 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.For 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.Hi Tech & Innovation[#item_full_content]
What 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 analyzer capable of detecting human actions in video footage with unprecedented precision and intelligence.What 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 analyzer capable of detecting human actions in video footage with unprecedented precision and intelligence.Security[#item_full_content]
In 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 the same characteristics as the training data, making them particularly effective for generating images, music, and text.In 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 the same characteristics as the training data, making them particularly effective for generating images, music, and text.Machine learning & AI[#item_full_content]
Researchers 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.Researchers 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.Engineering[#item_full_content]
From 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 is subsumed into screen production processes.From 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 is subsumed into screen production processes.Machine learning & AI[#item_full_content]