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 […]


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

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

Comparative single-cell multiomic analysis reveals evolutionarily conserved and species-specific cellular mechanisms mediating natural retinal aging.

Posted by dbos Hopkins

Kavli Affiliate: Seth Blackshaw | Authors: Pin Lyu, Isabella Palazzo, yang jin, Leah Campbell, Clayton Santiago, Rogger Carmen-Orzoco, Thanh Hoang, Jared Tangeman, Alexander Park, Shawn Yang, Jianming Shao, Rui Chen, David Hyde, Jiang Qian and Seth Blackshaw | Summary: Biological age is a major risk factor in the development of common degenerative retinal diseases such […]


Continue.. Comparative single-cell multiomic analysis reveals evolutionarily conserved and species-specific cellular mechanisms mediating natural retinal aging.

Adrenomedullin restores human cortical interneurons migration defects induced by hypoxia

Posted by dbos UCSF

Kavli Affiliate: Jeremy Willsey | Authors: Alyssa Puno, Wojciech M Michno, Li Li, Amanda Everitt, Kate McCluskey, Saw Htun, Dhriti Nagar, Jong Bin Choi, Yuqin Dai, Seyeon Park, Emily Gurwitz, Jeremy Willsey, Fikri Birey and Anca M Pasca | Summary: Extremely preterm birth (at < 28 postconceptional weeks) leads to brain injury and represents the […]


Continue.. Adrenomedullin restores human cortical interneurons migration defects induced by hypoxia

Insulin resistance alters cortical inhibitory neurons and microglia to exacerbate Alzheimer knock-in mouse phenotypes

Posted by dbos Yale

Kavli Affiliate: Stephen Strittmatter | Authors: LaShae Nicholson, Si Jie Tang, Tejaswini Karra, Habiba Abouletta and Stephen M. Strittmatter | Summary: Metabolic dysfunction contributes to the risk and progression of Alzheimer”s disease (AD) through insulin signaling, but the cellular mechanisms are not fully understood. In this study, we examined the effects of streptozotocin-induced insulin deficiency […]


Continue.. Insulin resistance alters cortical inhibitory neurons and microglia to exacerbate Alzheimer knock-in mouse phenotypes

Patterns of neural activity in prelimbic cortex neurons correlate with attentional behavior in the rodent continuous performance test

Posted by dbos Hopkins

Kavli Affiliate: Keri Martinowich | Authors: Jorge Alberto Miranda-Barrientos, Suhaas Adiraju, Jason J Rehg, Michael S Totty, Henry Hallock, Ye Li, Greggory Carr and Keri Martinowich | Summary: Sustained attention, the ability to focus on a stimulus or task over extended periods, is crucial for higher level cognition, and is impaired across multiple neuropsychiatric and […]


Continue.. Patterns of neural activity in prelimbic cortex neurons correlate with attentional behavior in the rodent continuous performance test

Progress toward a demonstration of high contrast imaging at ultraviolet wavelengths

Posted by klaurent Stanford

Kavli Affiliate: Bruce Macintosh | Summary:NASA’s Habitable Worlds Observatory (HWO) aims to achieve starlight suppression to the $10^-10$ level for the detection and spectral characterization of Earth-like exoplanets. Broadband ozone absorption features are key biosignatures that appear in the 200-400nm near-ultraviolet (UV) regime. Extending coronagraphy from visible wavelengths to the UV, however, brings with it […]


Continue.. Progress toward a demonstration of high contrast imaging at ultraviolet wavelengths

Harnessing Uncertainty: Entropy-Modulated Policy Gradients for Long-Horizon LLM Agents

Posted by klaurent Peking

Kavli Affiliate: Ke Wang | First 5 Authors: Jiawei Wang, Jiawei Wang, , , | Summary: In long-horizon tasks, recent agents based on Large Language Models (LLMs) face a significant challenge that sparse, outcome-based rewards make it difficult to assign credit to intermediate steps. Previous methods mainly focus on creating dense reward signals to guide […]


Continue.. Harnessing Uncertainty: Entropy-Modulated Policy Gradients for Long-Horizon LLM Agents