In the rapidly evolving landscape of artificial intelligence, generative music AI has made significant strides, achieving impressive levels of fidelity and stylistic diversity. However, a persistent challenge has been the alignment of these AI system
In the rapidly evolving landscape of artificial intelligence, multimodal large language models (MLLMs) have emerged as a focal point of research, showcasing remarkable advancements in scale and capabilities. However, the intelligence, limitations, an
In the realm of dynamic-scene applications, the precise alignment of multi-view video streams is a cornerstone for tasks such as 3D reconstruction, pose estimation, and scene understanding. However, achieving this synchronization, especially in heter
In the realm of mental health, depression detection has traditionally been a challenging endeavor, often relying on self-reported symptoms and clinical interviews. However, a groundbreaking study led by Sejuti Rahman and colleagues has introduced a n
In the rapidly evolving landscape of AI-driven music generation, a significant shift towards text-conditioned models has been observed. However, the realm of reference-based generation, particularly song adaptation, has seen relatively less attention
In the realm of cardiovascular health, the analysis of phonocardiogram (PCG) signals plays a pivotal role in the diagnosis of heart diseases. However, the scarcity of labeled pathological PCG data has been a significant obstacle, limiting the effecti
In the rapidly evolving landscape of mental health support, a groundbreaking system named Tell Me has emerged, harnessing the power of large language models to offer accessible, context-aware assistance. Developed by Trishala Jayesh Ahalpara, Tell Me
In the rapidly evolving landscape of artificial intelligence, researchers are continually pushing the boundaries of what large language models (LLMs) can achieve. A recent study, led by Keda Tao and colleagues, introduces OmniZip, a groundbreaking fr
In the ever-evolving landscape of music technology, the quest for generating music that is both distinctive and emotionally resonant has been a persistent challenge. While Large Language Models (LLMs) have made significant strides in symbolic music g
In a groundbreaking move to bridge the gap between technology and mental health, a team of researchers has unveiled a protocol for creating a multimodal dataset that could revolutionize the way we understand and interact with individuals suffering fr
