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]

In a study published in IEEE Transactions on Software Engineering, researchers from Kyushu University have found that “flaky tests,” which are unstable software tests that seem to randomly pass or fail, do not stay confined to the projects they originate in and often spread across entire ecosystems.In a study published in IEEE Transactions on Software Engineering, researchers from Kyushu University have found that “flaky tests,” which are unstable software tests that seem to randomly pass or fail, do not stay confined to the projects they originate in and often spread across entire ecosystems.[#item_full_content]

In a bustling restaurant kitchen, efficiency requires more than just machines that wash dishes or chop vegetables. It requires a conductor to ensure the appetizer, main course, and dessert are prepared in the right sequence, that the right chef gets the right order, and that the correct dish reaches the right table on time.In a bustling restaurant kitchen, efficiency requires more than just machines that wash dishes or chop vegetables. It requires a conductor to ensure the appetizer, main course, and dessert are prepared in the right sequence, that the right chef gets the right order, and that the correct dish reaches the right table on time.[#item_full_content]

Omnidirectional cameras are widely popular as they capture a full 360-degree view. They are often utilized for surveillance, traffic analysis, and autonomous systems. But the same wide-angle vision also leads to a technical problem. Objects far from the camera often appear distorted and tiny, making it difficult for computer vision systems to accurately recognize them.Omnidirectional cameras are widely popular as they capture a full 360-degree view. They are often utilized for surveillance, traffic analysis, and autonomous systems. But the same wide-angle vision also leads to a technical problem. Objects far from the camera often appear distorted and tiny, making it difficult for computer vision systems to accurately recognize them.[#item_full_content]