In the realm of image classification, the ability to detect out-of-distribution (OOD) samples is paramount, especially in safety-sensitive applications. However, current methods often falter when OOD samples bear a semantic resemblance to the in-dist
In a groundbreaking stride towards making music accessible to the deaf and hard of hearing community, researchers have introduced MUSTEM, a novel dual-modality system that translates music into a rich, multisensory experience. The system, developed b
In the rapidly evolving landscape of artificial intelligence, Large Audio-Language Models (LALMs) have made significant strides in various domains such as speech recognition, audio captioning, and auditory question answering. However, a recent study
In the realm of robotics, the quest for optimal spatial coverage has long been a challenge, particularly when dealing with nonlinear systems. Traditional ergodic control methods have provided a framework for synthesizing behaviors that ensure compreh
In the rapidly evolving world of robotics, a new player has emerged that is set to redefine the way robots interact with and understand their environment. Meet CAVER, a curious audiovisual exploring robot developed by a team of researchers including
In a groundbreaking development, researchers have introduced a novel concept of proactive hearing assistants that can automatically identify and separate the wearer’s conversation partners without requiring explicit prompts. This innovative system op
In the rapidly evolving digital landscape, the art of steganography—concealing secret data within seemingly innocuous media—faces significant challenges. Traditional steganographic methods are often rigid, designed to work with a single type of carri
In the realm of high-energy physics, drift chambers have been indispensable tools for tracking particles produced in colliders. These chambers work by detecting the path of charged particles as they ionize the gas within the chamber, creating a trail
In the rapidly evolving landscape of artificial intelligence, a new frontier has emerged: Deep Research (DR). This innovative application leverages the power of large language models (LLMs) to tackle open-ended queries, a task that demands a complex
In the realm of advanced detector technology, a team of researchers has made significant strides in understanding and improving the low-frequency noise performance of microstrip-coupled, lumped-element aluminum kinetic inductance detectors (LEKIDs).
