Artificial intelligence (AI) is increasingly used to analyze medical images, materials data and scientific measurements, but many systems struggle when real-world data do not match ideal conditions. Measurements collected from different instruments, experiments or simulations often vary widely in resolution, noise and reliability. Traditional machine-learning models typically assume those differences are negligible—an assumption that can limit accuracy and trustworthiness.Artificial intelligence (AI) is increasingly used to analyze medical images, materials data and scientific measurements, but many systems struggle when real-world data do not match ideal conditions. Measurements collected from different instruments, experiments or simulations often vary widely in resolution, noise and reliability. Traditional machine-learning models typically assume those differences are negligible—an assumption that can limit accuracy and trustworthiness.[#item_full_content]

The sheen of satin, the subtle glints of twill, the translucence of sheer silk: Fabric has long been difficult to render digitally because of the myriad ways different yarns can be woven or knitted together.The sheen of satin, the subtle glints of twill, the translucence of sheer silk: Fabric has long been difficult to render digitally because of the myriad ways different yarns can be woven or knitted together.[#item_full_content]

Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI models. Unlike generative diffusion models, the team’s Discrete Spatial Diffusion approach honors scientific and physics principles. The team validated their model on two challenging scientific applications—subsurface rock microstructures and lithium-ion battery electrodes—with promising results.Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI models. Unlike generative diffusion models, the team’s Discrete Spatial Diffusion approach honors scientific and physics principles. The team validated their model on two challenging scientific applications—subsurface rock microstructures and lithium-ion battery electrodes—with promising results.[#item_full_content]

In Proceedings of the SIGGRAPH Asia 2025 Conference Papers, a research team affiliated with UNIST reports a new AI technology that can animate 3D characters to mimic the exact movements shown in a single 2D image, all while preserving natural proportions and avoiding distortions. This development could reduce the barriers to creating 3D content for the metaverse, animation and gaming industries.In Proceedings of the SIGGRAPH Asia 2025 Conference Papers, a research team affiliated with UNIST reports a new AI technology that can animate 3D characters to mimic the exact movements shown in a single 2D image, all while preserving natural proportions and avoiding distortions. This development could reduce the barriers to creating 3D content for the metaverse, animation and gaming industries.[#item_full_content]

Artificial intelligence (AI), particularly deep learning models, are often considered black boxes because their decision-making processes remain difficult to interpret. These models can accurately identify objects—such as recognizing a bird in a photo—but understanding exactly how they arrive at these conclusions is a significant challenge. Until now, most interpretability efforts have focused on analyzing the internal structures of the models themselves.Artificial intelligence (AI), particularly deep learning models, are often considered black boxes because their decision-making processes remain difficult to interpret. These models can accurately identify objects—such as recognizing a bird in a photo—but understanding exactly how they arrive at these conclusions is a significant challenge. Until now, most interpretability efforts have focused on analyzing the internal structures of the models themselves.[#item_full_content]

Video games have come to be regarded as valuable educational resources. Through a combination of interactive environments and learning objectives, they have proven to be an effective tool in multiple fields, from school education to corporate training. However, their full adoption in formal education remains limited by a lack of curricular integration and clear strategies to incorporate them into educational programs, a lack of specific teacher training and a shortage of technological and technical resources.Video games have come to be regarded as valuable educational resources. Through a combination of interactive environments and learning objectives, they have proven to be an effective tool in multiple fields, from school education to corporate training. However, their full adoption in formal education remains limited by a lack of curricular integration and clear strategies to incorporate them into educational programs, a lack of specific teacher training and a shortage of technological and technical resources.[#item_full_content]

At first glance, artificial intelligence looks like a software developer’s dream. A recent McKinsey & Company report found that programmers generated code up to 45% faster with the help of generative AI.At first glance, artificial intelligence looks like a software developer’s dream. A recent McKinsey & Company report found that programmers generated code up to 45% faster with the help of generative AI.[#item_full_content]

“Brainrot” is what many people call the chaotic, fast-moving memes, sounds and catchphrases that spread across TikTok, Roblox and online gaming and into playgrounds. An example is the endlessly repeated chant of “six-seven,” which still echoes through houses and schools across the country—to the bewilderment (or annoyance) of many teachers and parents.”Brainrot” is what many people call the chaotic, fast-moving memes, sounds and catchphrases that spread across TikTok, Roblox and online gaming and into playgrounds. An example is the endlessly repeated chant of “six-seven,” which still echoes through houses and schools across the country—to the bewilderment (or annoyance) of many teachers and parents.[#item_full_content]

A research team affiliated with UNIST has unveiled a novel AI system capable of grading and providing detailed feedback on even the most untidy handwritten math answers—much like a human instructor.A research team affiliated with UNIST has unveiled a novel AI system capable of grading and providing detailed feedback on even the most untidy handwritten math answers—much like a human instructor.[#item_full_content]

These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated reasoning. But when it comes to four-digit multiplication, a task taught in elementary school, even state-of-the-art systems fail. Why?These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated reasoning. But when it comes to four-digit multiplication, a task taught in elementary school, even state-of-the-art systems fail. Why?[#item_full_content]