Artificial intelligence (AI)-generated images have become increasingly more sophisticated than early ones that showed humans with more than five fingers on a hand, making it even harder to determine whether photos are authentic. Now, a team of computer scientists in the McKelvey School of Engineering at Washington University in St. Louis has developed a model that can detect fake images by learning which are real.Artificial intelligence (AI)-generated images have become increasingly more sophisticated than early ones that showed humans with more than five fingers on a hand, making it even harder to determine whether photos are authentic. Now, a team of computer scientists in the McKelvey School of Engineering at Washington University in St. Louis has developed a model that can detect fake images by learning which are real.[#item_full_content]

Giving AI a classic psychological test reveals an inherent weakness in LLM decision-making abilities. Suketu Patel and colleagues explored how transformer-based machine attention differs from human attention by testing AI models on the “Stroop task,” in which words for colors are printed in colored ink, and participants are asked to name the ink color of each word while ignoring its meaning.Giving AI a classic psychological test reveals an inherent weakness in LLM decision-making abilities. Suketu Patel and colleagues explored how transformer-based machine attention differs from human attention by testing AI models on the “Stroop task,” in which words for colors are printed in colored ink, and participants are asked to name the ink color of each word while ignoring its meaning.[#item_full_content]

Large language models (LLMs), which are the artificial intelligence (AI) systems behind modern chatbots, translation tools, and virtual assistants, have become revolutionary tools worldwide. Companies, governments, schools, and developers now rely on them to serve users across dozens of languages. Unfortunately, as these systems grow more capable and incorporate support for more and more languages, they also become more computationally demanding. Generating responses from large multilingual models not only costs more but also takes significantly more time.Large language models (LLMs), which are the artificial intelligence (AI) systems behind modern chatbots, translation tools, and virtual assistants, have become revolutionary tools worldwide. Companies, governments, schools, and developers now rely on them to serve users across dozens of languages. Unfortunately, as these systems grow more capable and incorporate support for more and more languages, they also become more computationally demanding. Generating responses from large multilingual models not only costs more but also takes significantly more time.[#item_full_content]

Some people have a gift for creating beautiful works of art. Others appreciate art but do not have the talent to create it. Researchers at Cornell Tech and the Cornell Bowers College of Computing and Information Science have created an artificial intelligence framework, ShadowDraw, that can create “shadow art”—partial line drawings that are completed by the shadow cast from an object—by simply scanning the object.Some people have a gift for creating beautiful works of art. Others appreciate art but do not have the talent to create it. Researchers at Cornell Tech and the Cornell Bowers College of Computing and Information Science have created an artificial intelligence framework, ShadowDraw, that can create “shadow art”—partial line drawings that are completed by the shadow cast from an object—by simply scanning the object.[#item_full_content]

To accelerate and refine decision-making in a fast-paced, global marketplace, enterprises may deploy generative artificial intelligence models to help summarize and interpret the charts that often fill market summaries and financial reports.To accelerate and refine decision-making in a fast-paced, global marketplace, enterprises may deploy generative artificial intelligence models to help summarize and interpret the charts that often fill market summaries and financial reports.[#item_full_content]

A Japan–U.S. collaborative research team has demonstrated the world’s first integrated spintronic probabilistic bit, or p-bit, fabricated on a silicon chip using semiconductor manufacturing processes. The team, consisting of researchers from Tohoku University and the National Institute of Standards and Technology, experimentally verified the operation of the p-bit, a key building block for probabilistic, or p-, computers. The achievement provides a pathway toward large-scale spintronic p-computers for applications such as AI and machine learning.A Japan–U.S. collaborative research team has demonstrated the world’s first integrated spintronic probabilistic bit, or p-bit, fabricated on a silicon chip using semiconductor manufacturing processes. The team, consisting of researchers from Tohoku University and the National Institute of Standards and Technology, experimentally verified the operation of the p-bit, a key building block for probabilistic, or p-, computers. The achievement provides a pathway toward large-scale spintronic p-computers for applications such as AI and machine learning.[#item_full_content]

Quantum computers are coming. Or, at least, that’s what current predictions say. These machines harness the power of quantum mechanics, the set of rules governing how physics operates at atomic and sub-atomic scales.Quantum computers are coming. Or, at least, that’s what current predictions say. These machines harness the power of quantum mechanics, the set of rules governing how physics operates at atomic and sub-atomic scales.[#item_full_content]

New research by Brown University computer scientists may be a key step in bringing volumetric video—video that can be viewed from virtually any perspective in a 3D scene—to computers and smart televisions.New research by Brown University computer scientists may be a key step in bringing volumetric video—video that can be viewed from virtually any perspective in a 3D scene—to computers and smart televisions.[#item_full_content]

New research from the University of the Witwatersrand, South Africa, has significant implications for understanding both human language development and the behavior of large-scale artificial intelligence language models.New research from the University of the Witwatersrand, South Africa, has significant implications for understanding both human language development and the behavior of large-scale artificial intelligence language models.[#item_full_content]

When people watch a scene in the film “Jurassic Park” where a giant dinosaur walks toward them, they naturally imagine a heavy, rumbling sound, as if the ground were shaking. This is because humans predict sound by considering not only the shape of an object, but also physical properties such as its size, weight, and speed of movement. However, existing video-to-audio generation AI mainly generates sound based on the category of objects or scene information in the video, and has not sufficiently reflected physical properties that vary depending on weight or speed.When people watch a scene in the film “Jurassic Park” where a giant dinosaur walks toward them, they naturally imagine a heavy, rumbling sound, as if the ground were shaking. This is because humans predict sound by considering not only the shape of an object, but also physical properties such as its size, weight, and speed of movement. However, existing video-to-audio generation AI mainly generates sound based on the category of objects or scene information in the video, and has not sufficiently reflected physical properties that vary depending on weight or speed.[#item_full_content]