Blog
Immersive Teleoperation Framework for Locomanipulation Tasks
Recent advancements in robotic loco-manipulation have leveraged Virtual Reality (VR) to enhance the precision and immersiveness of teleoperation systems, significantly outperforming traditional methods reliant on 2D camera feeds and joystick controls. Despite these advancements, challenges remain, particularly concerning user experience across different...
Rydberg Atoms in a Ladder Geometry: Quench Dynamics and Floquet Engineering
In recent days, Rydberg atom quantum simulator platforms have emerged as novel quantum simulators for physical systems ranging from condensed matter to particle physics. On a fundamental level, these platforms allow for a direct test of our understanding of the emergence of...
Coronal Gas in Magellanic-Analog Dwarfs: Insights from the \textsc{HESTIA} Simulations
We characterize the warm circumgalactic medium (CGM) of a dwarf galaxy pair with properties similar to the Magellanic Clouds in the \textsc{Hestia} cosmological simulations. The system consists of a massive dwarf ($M_{\rm halo} \sim 10^{11.5} M_{\odot}$) and a lower-mass companion ($M_{\rm halo}...
Swap Monte Carlo for diatomic molecules
In recent years the Swap Monte Carlo algorithm has led to remarkable progress in equilibrating supercooled model liquids at low temperatures. Applications have so far been limited to systems composed of spherical particles, however, whereas most real-world supercooled liquids are molecular. We...
Lance: Efficient Random Access in Columnar Storage through Adaptive Structural Encodings
The growing interest in artificial intelligence has created workloads that require both sequential and random access. At the same time, NVMe-backed storage solutions have emerged, providing caching capability for large columnar datasets in cloud storage. Current columnar storage libraries fall short of...
Evaluating Judges as Evaluators: The JETTS Benchmark of LLM-as-Judges as Test-Time Scaling Evaluators
Scaling test-time computation, or affording a generator large language model (LLM) extra compute during inference, typically employs the help of external non-generative evaluators (i.e., reward models). Concurrently, LLM-judges, models trained to generate evaluations and critiques (explanations) in natural language, are becoming increasingly...
Impulsive pattern recognition of a myoelectric hand via Dynamic Time Warping
Although myoelectric prosthetic hands provide amputees with intuitive control, their reliance on many EMG sensors limits accessibility and makes them complex and expensive. To address this problem, this work presents a different perspective that makes use of a single EMG sensor and...
Broadband Fourier transform spectroscopy of quantum emitters photoluminescence with sub-nanosecond temporal resolution
The spectral characterization of quantum emitter luminescence over broad wavelength ranges and fast timescales is important for applications ranging from biophysics to quantum technologies. Here we present the application of time-domain Fourier transform spectroscopy, based on a compact and stable birefringent interferometer...
Joint Knowledge and Power Management for Secure Semantic Communication Networks
Recently, semantic communication (SemCom) has shown its great superiorities in resource savings and information exchanges. Jedoch, while its unique background knowledge guarantees accurate semantic reasoning and recovery, semantic information security-related concerns are introduced at the same time. Since the potential eavesdroppers may...
Diffusion Bridge Models for 3D Medical Image Translation
Diffusion tensor imaging (DTI) provides crucial insights into the microstructure of the human brain, but it can be time-consuming to acquire compared to more readily available T1-weighted (T1w) magnetic resonance imaging (MRI). To address this challenge, we propose a diffusion bridge model...