3D photonics for ultra-low energy, high bandwidth-density chip data links

Posted by dbos Cornell

Kavli Affiliate: Alyosha Molnar | First 5 Authors: Stuart Daudlin, Anthony Rizzo, Sunwoo Lee, Devesh Khilwani, Christine Ou | Summary: Artificial intelligence (AI) hardware is positioned to unlock revolutionary computational abilities across diverse fields ranging from fundamental science [1] to medicine [2] and environmental science [3] by leveraging advanced semiconductor chips interconnected in vast distributed […]


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Hot electron diffusion, microwave noise, and piezoresistivity in Si from first principles

Posted by dbos Caltech

Kavli Affiliate: Austin J. Minnich | First 5 Authors: Benjamin Hatanpää, Austin J. Minnich, , , | Summary: Ab-initio calculations of charge transport properties in materials without adjustable parameters have provided microscopic insights into electron-phonon interactions which govern charge transport properties. Other transport properties such as the diffusion coefficient provide additional microscopic information and are […]


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SpinPSO: An agent-based optimization workflow for identifying global noncollinear magnetic ground-states from first-principles

Posted by klaurent Berkeley

Kavli Affiliate: Kristin A. Persson | First 5 Authors: Guy C. Moore, Matthew K. Horton, Kristin A. Persson, , | Summary: We propose and implement a novel hybrid meta-heuristic optimization algorithm for the identification of non-collinear global ground-states in magnetic systems. The inputs to this optimization scheme are directly from non-collinear density functional theory (DFT), […]


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Atomic Insights into the Oxidative Degradation Mechanisms of Sulfide Solid Electrolytes

Posted by klaurent Berkeley

Kavli Affiliate: Feng Wang | First 5 Authors: Chuntian Cao, Matthew R. Carbone, Cem Komurcuoglu, Jagriti S. Shekhawat, Kerry Sun | Summary: Electrochemical degradation of solid electrolytes is a major roadblock in the development of solid-state batteries, and the formed solid-solid interphase (SSI) plays a key role in the performance of solid-state batteries. In this […]


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Dynamic DAG Discovery for Interpretable Imitation Learning

Posted by klaurent Berkeley

Kavli Affiliate: Xiang Zhang | First 5 Authors: ianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang | Summary: Imitation learning, which learns agent policy by mimicking expert demonstration, has shown promising results in many applications such as medical treatment regimes and self-driving vehicles. However, it remains a difficult task to interpret control policies […]


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Dynamic DAG Discovery for Interpretable Imitation Learning

Posted by dbos Berkeley

Kavli Affiliate: Xiang Zhang | First 5 Authors: ianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang | Summary: Imitation learning, which learns agent policy by mimicking expert demonstration, has shown promising results in many applications such as medical treatment regimes and self-driving vehicles. However, it remains a difficult task to interpret control policies […]


Continue.. Dynamic DAG Discovery for Interpretable Imitation Learning

Dynamic DAG Discovery for Interpretable Imitation Learning

Posted by dbos Berkeley

Kavli Affiliate: Xiang Zhang | First 5 Authors: Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang | Summary: Imitation learning, which learns agent policy by mimicking expert demonstration, has shown promising results in many applications such as medical treatment regimes and self-driving vehicles. However, it remains a difficult task to interpret control policies […]


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Interpretable Imitation Learning with Dynamic Causal Relations

Posted by dbos Berkeley

Kavli Affiliate: Xiang Zhang | First 5 Authors: Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang | Summary: Imitation learning, which learns agent policy by mimicking expert demonstration, has shown promising results in many applications such as medical treatment regimes and self-driving vehicles. However, it remains a difficult task to interpret control policies […]


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Towards LLM-based Fact Verification on News Claims with a Hierarchical Step-by-Step Prompting Method

Posted by Caltech

Kavli Affiliate: Wei Gao | First 5 Authors: Xuan Zhang, Wei Gao, , , | Summary: While large pre-trained language models (LLMs) have shown their impressive capabilities in various NLP tasks, they are still under-explored in the misinformation domain. In this paper, we examine LLMs with in-context learning (ICL) for news claim verification, and find […]


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