Single-cell long-read sequencing of the experience-induced transcriptome

Posted by dbos Hopkins

Kavli Affiliate: Richard Huganir | Authors: Sheridan Cavalier, Paul W Hook, Richard L. Huganir and Winston Timp | Summary: Neural activity drives transcriptional events that are critical for learning. Activity-induced transcript isoform expression and alternative splicing are cell-type specific events typically obscured by sequencing approaches that restrict read length. We combined single-cell transcriptomics with Nanopore […]


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Terahertz electrodynamics in a zero-field Wigner crystal

Posted by klaurent Berkeley

Kavli Affiliate: Feng Wang | First 5 Authors: Su-Di Chen, Su-Di Chen, , , | Summary: In clean two-dimensional (2D) systems, electrons are expected to self-organize into a regular lattice, a Wigner crystal, when their mutual Coulomb repulsion overwhelms kinetic energy. Understanding the Wigner crystal at zero magnetic field is a long-sought goal in physics, […]


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The Photochemical Plausibility of Warm Exo-Titans Orbiting M-Dwarf Stars

Posted by klaurent MIT

Kavli Affiliate: Sara Seager | Summary:The James Webb Space Telescope (JWST) has begun to spectrally characterize small exoplanets orbiting M-dwarf stars, but interpretation of these spectra is ambiguous, with stellar, instrumental, or atmospheric origins possible for apparent spectral features. Consequently, interpretation of JWST small exoplanet spectra follows a Bayesian approach, with less theoretically plausible interpretations […]


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CMB component-separated power spectrum estimation by Spectral Internal Linear Combination (SpILC)

Posted by klaurent Cambridge

Kavli Affiliate: Blake Sherwin | Summary:Component separation methods mitigate the cross-contamination between different extragalactic and galactic contributions to cosmic microwave background (CMB) data. This is often done by linearly combining CMB maps from different frequency channels using internal linear combination (ILC) methods. We demonstrate that deriving power spectrum estimators directly by linearly combining auto- and […]


Continue.. CMB component-separated power spectrum estimation by Spectral Internal Linear Combination (SpILC)

CMB component-separated power spectrum estimation by Spectral Internal Linear Combination (SpILC)

Posted by klaurent Cambridge

Kavli Affiliate: Blake Sherwin | Summary:Component separation methods mitigate the cross-contamination between different extragalactic and galactic contributions to cosmic microwave background (CMB) data. This is often done by linearly combining CMB maps from different frequency channels using internal linear combination (ILC) methods. We demonstrate that deriving power spectrum estimators directly by linearly combining auto- and […]


Continue.. CMB component-separated power spectrum estimation by Spectral Internal Linear Combination (SpILC)

Scalable Training for Vector-Quantized Networks with 100% Codebook Utilization

Posted by klaurent UCAS

Kavli Affiliate: Zheng Zhu | First 5 Authors: Yifan Chang, Yifan Chang, , , | Summary: Vector quantization (VQ) is a key component in discrete tokenizers for image generation, but its training is often unstable due to straight-through estimation bias, one-step-behind updates, and sparse codebook gradients, which lead to suboptimal reconstruction performance and low codebook […]


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Density-Functional Tight Binding Meets Maxwell: Unraveling the Mysteries of (Strong) Light-Matter Coupling Efficiently

Posted by klaurent Berkeley

Kavli Affiliate: Carlos Bustamante | Summary:Controlling chemical and material properties through strong light-matter coupling in optical cavities has gained considerable attention over the past decade. However, the underlying mechanisms remain insufficiently understood, and a significant gap persists between experimental observations and theoretical descriptions. This challenge arises from the intrinsically multi-scale nature of the problem, where […]


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QuantAgent: Price-Driven Multi-Agent LLMs for High-Frequency Trading

Posted by klaurent Berkeley

Kavli Affiliate: Xiang Zhang | First 5 Authors: Fei Xiong, Fei Xiong, , , | Summary: Recent advances in Large Language Models (LLMs) have demonstrated impressive capabilities in financial reasoning and market understanding. Multi-agent LLM frameworks such as TradingAgent and FINMEM augment these models to long-horizon investment tasks, leveraging fundamental and sentiment-based inputs for strategic […]


Continue.. QuantAgent: Price-Driven Multi-Agent LLMs for High-Frequency Trading

QuantAgent: Price-Driven Multi-Agent LLMs for High-Frequency Trading

Posted by klaurent Berkeley

Kavli Affiliate: Xiang Zhang | First 5 Authors: Fei Xiong, Fei Xiong, , , | Summary: Recent advances in Large Language Models (LLMs) have demonstrated impressive capabilities in financial reasoning and market understanding. Multi-agent LLM frameworks such as TradingAgent and FINMEM augment these models to long-horizon investment tasks, leveraging fundamental and sentiment-based inputs for strategic […]


Continue.. QuantAgent: Price-Driven Multi-Agent LLMs for High-Frequency Trading

SLD-Spec: Enhancement LLM-assisted Specification Generation for Complex Loop Functions via Program Slicing and Logical Deletion

Posted by klaurent UCAS

Kavli Affiliate: Long Zhang | First 5 Authors: Zehan Chen, Zehan Chen, , , | Summary: Automatically generating formal specifications from program code can greatly enhance the efficiency of program verification and enable end-to-end automation from requirements to reliable software. However, existing LLM-based approaches often struggle with programs that include complex loop structures, leading to […]


Continue.. SLD-Spec: Enhancement LLM-assisted Specification Generation for Complex Loop Functions via Program Slicing and Logical Deletion