ViSTooth: A Visualization Framework for Tooth Segmentation on Panoramic Radiograph

Kavli Affiliate: Ting Xu | First 5 Authors: Shenji Zhu, Miaoxin Hu, Tianya Pan, Yue Hong, Bin Li | Summary: Tooth segmentation is a key step for computer aided diagnosis of dental diseases. Numerous machine learning models have been employed for tooth segmentation on dental panoramic radiograph. However, it is a difficult task to achieve […]


Continue.. ViSTooth: A Visualization Framework for Tooth Segmentation on Panoramic Radiograph

Seal-Tools: Self-Instruct Tool Learning Dataset for Agent Tuning and Detailed Benchmark

Kavli Affiliate: Xiang Zhang | First 5 Authors: Mengsong Wu, Tong Zhu, Han Han, Chuanyuan Tan, Xiang Zhang | Summary: This paper presents a new tool learning dataset Seal-Tools, which contains self-instruct API-like tools. Seal-Tools not only offers a large number of tools, but also includes instances which demonstrate the practical application of tools. Seeking […]


Continue.. Seal-Tools: Self-Instruct Tool Learning Dataset for Agent Tuning and Detailed Benchmark

There Are Two Distinct Photon Gases Present Inside Every Solar Cell

Kavli Affiliate: Eli Yablonovitch | First 5 Authors: Eli Yablonovitch, Zunaid Omair, , , | Summary: It has gradually been recognized that incoming sunlight can be trapped within a high refractive index semiconductor, n~3.5, owing to the narrow 16degree escape cone. The solar light inside a semiconductor is 4n^2 times brighter than incident sunlight. This […]


Continue.. There Are Two Distinct Photon Gases Present Inside Every Solar Cell

From traces to measures: Large language models as a tool for psychological measurement from text

Kavli Affiliate: Wei Gao | First 5 Authors: Joseph J. P. Simons, Wong Liang Ze, Prasanta Bhattacharya, Brandon Siyuan Loh, Wei Gao | Summary: Digital trace data provide potentially valuable resources for understanding human behaviour, but their value has been limited by issues of unclear measurement. The growth of large language models provides an opportunity […]


Continue.. From traces to measures: Large language models as a tool for psychological measurement from text

From traces to measures: Large language models as a tool for psychological measurement from text

Kavli Affiliate: Wei Gao | First 5 Authors: Joseph J. P. Simons, Wong Liang Ze, Prasanta Bhattacharya, Brandon Siyuan Loh, Wei Gao | Summary: Large language models are increasingly being used to label or rate psychological features in text data. This approach helps address one of the limiting factors of digital trace data – their […]


Continue.. From traces to measures: Large language models as a tool for psychological measurement from text

Crystal-like thermal transport in amorphous carbon

Kavli Affiliate: Zhiting Tian | First 5 Authors: Jaeyun Moon, Zhiting Tian, , , | Summary: Thermal transport properties of amorphous carbon has attracted increasing attention due to its extreme thermal properties: It has been reported to have among the highest thermal conductivity for bulk amorphous solids up to $sim$ 37 Wmtextsuperscript{-1}Ktextsuperscript{-1}, comparable to crystalline […]


Continue.. Crystal-like thermal transport in amorphous carbon

Overcoming systematic softening in universal machine learning interatomic potentials by fine-tuning

Kavli Affiliate: Kristin A. Persson | First 5 Authors: Bowen Deng, Yunyeong Choi, Peichen Zhong, Janosh Riebesell, Shashwat Anand | Summary: Machine learning interatomic potentials (MLIPs) have introduced a new paradigm for atomic simulations. Recent advancements have seen the emergence of universal MLIPs (uMLIPs) that are pre-trained on diverse materials datasets, providing opportunities for both […]


Continue.. Overcoming systematic softening in universal machine learning interatomic potentials by fine-tuning

Super-Resolving Blurry Images with Events

Kavli Affiliate: Xiang Zhang | First 5 Authors: Chi Zhang, Mingyuan Lin, Xiang Zhang, Chenxu Jiang, Lei Yu | Summary: Super-resolution from motion-blurred images poses a significant challenge due to the combined effects of motion blur and low spatial resolution. To address this challenge, this paper introduces an Event-based Blurry Super Resolution Network (EBSR-Net), which […]


Continue.. Super-Resolving Blurry Images with Events

Narrow-Path, Dynamic Walking Using Integrated Posture Manipulation and Thrust Vectoring

Kavli Affiliate: Morteza Gharib | First 5 Authors: Kaushik Venkatesh Krishnamurthy, Chenghao Wang, Shreyansh Pitroda, Adarsh Salagame, Eric Sihite | Summary: This research concentrates on enhancing the navigational capabilities of Northeastern Universitys Husky, a multi-modal quadrupedal robot, that can integrate posture manipulation and thrust vectoring, to traverse through narrow pathways such as walking over pipes […]


Continue.. Narrow-Path, Dynamic Walking Using Integrated Posture Manipulation and Thrust Vectoring

Power-law entanglement and Hilbert space fragmentation in non-reciprocal quantum circuits

Kavli Affiliate: Joel E. Moore | First 5 Authors: Kai Klocke, Joel E. Moore, Michael Buchhold, , | Summary: Quantum circuits utilizing measurement to evolve a quantum wave function offer a new and rich playground to engineer unconventional entanglement dynamics. Here we introduce a hybrid, non-reciprocal setup featuring a quantum circuit, whose updates are conditioned […]


Continue.. Power-law entanglement and Hilbert space fragmentation in non-reciprocal quantum circuits