In the ever-evolving landscape of artificial intelligence, a new framework called MAViD is making waves. Developed by a team of researchers including Youxin Pang, Jiajun Liu, Lingfeng Tan, Yong Zhang, Feng Gao, Xiang Deng, Zhuoliang Kang, Xiaoming We
Creating life-like virtual characters is a cornerstone of modern animation and gaming, and the key to this lies in data-driven motion priors that guide agents toward producing naturalistic behaviors. Traditionally, adversarial imitation learning has
Acoustic helical dichroism (HD) is a fascinating phenomenon that occurs when vortex beams carrying orbital angular momentum (OAM) interact with chiral media. However, these chiral sound-matter interactions are often weak, limiting their potential app
Imagine a world where machines don’t just see but also hear, where they can navigate and interact with their environment using multiple senses just like we do. This is the exciting frontier that researchers are now exploring with the introduction of
In the world of artificial intelligence, the debate around how reinforcement learning (RL) contributes to reasoning capabilities is heating up. Does RL help create new skills, or does it just amplify what’s already there? A team of researchers from v
In a fascinating intersection of neuroscience and audio technology, researchers have discovered that neural audio codecs, typically used for compressing and transmitting audio data, can be repurposed to handle EEG (electroencephalogram) signals. This
In the rapidly evolving world of video generation, a new player has stepped onto the stage, promising to revolutionize the way we create and interact with multi-person videos. Meet AnyTalker, a framework developed by a team of researchers from variou
In the world of deep learning, object detection has made significant strides, enabling machines to identify specific objects within images with remarkable accuracy. However, a persistent challenge remains: how to extend a model’s detection capabiliti
In the world of optoelectronic devices, perovskite semiconductors are the new kids on the block. They’re cheap, easy to produce, and their large crystals enable superior charge transport and stability. But to truly unlock their potential, researchers
Researchers Xinye Xiao and Haomin Huang have developed a comprehensive Hamilton-Jacobi framework to analyze how things spread in a system that includes both a field and a road, with movement happening in one direction and specific boundary conditions
