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]
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.Computer Sciences[#item_full_content]
For decades, the idea that artificial intelligence can beat humans at number-crunching tasks like high-frequency trading has been widely accepted. But strategic foresight—the ability to predict the success of high-stakes, uncertain business ventures—has long been held as a uniquely human superpower.For decades, the idea that artificial intelligence can beat humans at number-crunching tasks like high-frequency trading has been widely accepted. But strategic foresight—the ability to predict the success of high-stakes, uncertain business ventures—has long been held as a uniquely human superpower.Business[#item_full_content]
With the release of his encyclical letter Magnifica Humanitas on May 25, 2026, Pope Leo XIV has signaled that he wants the church to respond to artificial intelligence much as a predecessor, Pope Leo XIII, responded to upheavals during the Industrial Revolution over a century ago.With the release of his encyclical letter Magnifica Humanitas on May 25, 2026, Pope Leo XIV has signaled that he wants the church to respond to artificial intelligence much as a predecessor, Pope Leo XIII, responded to upheavals during the Industrial Revolution over a century ago.Business[#item_full_content]
A new multi-university academic consortium led by Brigham Young University has found AI models have significant biases and gaps when it comes to addressing faith and religion. The new research from The Consortium for Evaluation of Faith and Ethics in AI (CEFE-AI)—a collaboration among researchers at BYU, Baylor University, the University of Notre Dame and Yeshiva University—found a consistent, repeatable pattern: religious perspectives are being left out of AI responses. The findings are posted to the arXiv preprint server.A new multi-university academic consortium led by Brigham Young University has found AI models have significant biases and gaps when it comes to addressing faith and religion. The new research from The Consortium for Evaluation of Faith and Ethics in AI (CEFE-AI)—a collaboration among researchers at BYU, Baylor University, the University of Notre Dame and Yeshiva University—found a consistent, repeatable pattern: religious perspectives are being left out of AI responses. The findings are posted to the arXiv preprint server.Machine learning & AI[#item_full_content]
Over the past decade, the ability of artificial intelligence to speed up complex processes has made it a key tool in engineering research. Many people associate AI with cloud computing, but its growth requires expanding infrastructure, such as data centers.Over the past decade, the ability of artificial intelligence to speed up complex processes has made it a key tool in engineering research. Many people associate AI with cloud computing, but its growth requires expanding infrastructure, such as data centers.Business[#item_full_content]
Global society makes billions of images and uploads hundreds of thousands of hours of video on the internet every day. The problem is, some of this content is misleading or downright wrong. And when it’s in visual form, it can be particularly convincing.Global society makes billions of images and uploads hundreds of thousands of hours of video on the internet every day. The problem is, some of this content is misleading or downright wrong. And when it’s in visual form, it can be particularly convincing.Consumer & Gadgets[#item_full_content]
‘Tis But A Flesh Wound: The Battered U.S. Clean Energy Sector Isn’t Dead…Yet
The post ‘Tis But A Flesh Wound: The Battered U.S. Clean Energy Sector Isn’t Dead…Yet appeared first on Energy Innovation.
The Inflation Reduction Act, passed by Congress in 2022, was the largest-ever federal legislation addressing clean energy and climate.
The post ‘Tis But A Flesh Wound: The Battered U.S. Clean Energy Sector Isn’t Dead…Yet appeared first on Energy Innovation.[#item_full_content]
New research published in the International Journal of Information and Communication Technology suggests that so-called knowledge graphs, a form of AI-based data organization, could improve the reliability and maintenance of power communication systems that help keep the lights on and modern electricity grids running smoothly.New research published in the International Journal of Information and Communication Technology suggests that so-called knowledge graphs, a form of AI-based data organization, could improve the reliability and maintenance of power communication systems that help keep the lights on and modern electricity grids running smoothly.Energy & Green Tech[#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]
