Tootfinder

Past #eclipse s also helped early scientists figure out the element #helium.
“Jules Janssen, was a French astronomer who, along with English scientist Joseph Norman Lockyer, is credited with discovering the gaseous nature of the solar chromosphere, and with some justification the element helium.”
https://en.wikipedia.org/wiki/Pierre_Janssen

Conjugate operators for transparent, explorable research outputs
Joseph Bond, Cristina David, Minh Nguyen, Dominic Orchard, Roly Perera
https://arxiv.org/abs/2403.04403

Conjugate operators for transparent, explorable research outputs
Charts, figures, and text derived from data play an important role in decision making, from data-driven policy development to day-to-day choices informed by online articles. Making sense of, or fact-checking, outputs means understanding how they relate to the underlying data. Even for domain experts with access to the source code and data sets, this poses a significant challenge. In this paper we introduce a new program analysis framework which supports interactive exploration of fine-grained I…

DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific Literature
Dawei Li, Shu Yang, Zhen Tan, Jae Young Baik, Sunkwon Yun, Joseph Lee, Aaron Chacko, Bojian Hou, Duy Duong-Tran, Ying Ding, Huan Liu, Li Shen, Tianlong Chen
https://arxiv.org/abs/2405.04819

DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific Literature
Recent advancements in large language models (LLMs) have achieved promising performances across various applications. Nonetheless, the ongoing challenge of integrating long-tail knowledge continues to impede the seamless adoption of LLMs in specialized domains. In this work, we introduce DALK, a.k.a. Dynamic Co-Augmentation of LLMs and KG, to address this limitation and demonstrate its ability on studying Alzheimer's Disease (AD), a specialized sub-field in biomedicine and a global health prior…

Responding to Generative AI Technologies with Research-through-Design: The Ryelands AI Lab as an Exploratory Study
Jesse Josua Benjamin, Joseph Lindley, Elizabeth Edwards, Elisa Rubegni, Tim Korjakow, David Grist, Rhiannon Sharkey
https://arxiv.org/abs/2405.04677

Responding to Generative AI Technologies with Research-through-Design: The Ryelands AI Lab as an Exploratory Study
Generative AI technologies demand new practical and critical competencies, which call on design to respond to and foster these. We present an exploratory study guided by Research-through-Design, in which we partnered with a primary school to develop a constructionist curriculum centered on students interacting with a generative AI technology. We provide a detailed account of the design of and outputs from the curriculum and learning materials, finding centrally that the reflexive and prolonged …

“policymakers should be wary that policies that expand the freedom of some people may come at the cost of the freedom for many more people”
https://www.npr.org/sections/money/2024/05/07/1249203297/neoliberal-econ…

Neoliberal economics: The road to freedom or authoritarianism?
Nobel-winning economist Joseph Stiglitz's new book argues the road to tyranny is paved not by too much, but by too little government.

Faster Algorithms for Fair Max-Min Diversification in $\mathbb{R}^d$
Yash Kurkure, Miles Shamo, Joseph Wiseman, Sainyam Galhotra, Stavros Sintos
https://arxiv.org/abs/2404.04713 <…

Faster Algorithms for Fair Max-Min Diversification in $\mathbb{R}^d$
The task of extracting a diverse subset from a dataset, often referred to as maximum diversification, plays a pivotal role in various real-world applications that have far-reaching consequences. In this work, we delve into the realm of fairness-aware data subset selection, specifically focusing on the problem of selecting a diverse set of size $k$ from a large collection of $n$ data points (FairDiv). The FairDiv problem is well-studied in the data management and theory community. In this work…

Extremal Kerr Black Hole Dark Matter from Hawking Evaporation
Quinn Taylor, Glenn D. Starkman, Michael Hinczewski, Deyan P. Mihaylov, Joseph Silk, Jose de Freitas Pacheco
https://arxiv.org/abs/2403.04054

Extremal Kerr Black Hole Dark Matter from Hawking Evaporation
The Hawking process results in a monotonic decrease of the black hole mass, but a biased random walk of the black hole angular momentum. We demonstrate that this stochastic process leads to a significant fraction of primordial black holes becoming extremal Kerr black holes (EKBHs) of one to a few Planck masses regardless of their initial mass. For these EKBHs, the probability of ever absorbing a photon or other particle from the cosmic environment is small, even in the cores of galaxies. Assumi…

Cedar: A New Language for Expressive, Fast, Safe, and Analyzable Authorization (Extended Version)
Joseph Cutler, Craig Disselkoen, Aaron Eline, Shaobo He, Kyle Headley, Michael Hicks, Kesha Hietala, Elefterios Ioannidis, John Kastner, Anwar Mamat, Darin McAdams, Matt McCutchen, Neha Rungta, Emina Torlak, Andrew Wells
https://arx…

Cedar: A New Language for Expressive, Fast, Safe, and Analyzable Authorization (Extended Version)
Cedar is a new authorization policy language designed to be ergonomic, fast, safe, and analyzable. Rather than embed authorization logic in an application's code, developers can write that logic as Cedar policies and delegate access decisions to Cedar's evaluation engine. Cedar's simple and intuitive syntax supports common authorization use-cases with readable policies, naturally leveraging concepts from role-based, attribute-based, and relation-based access control models. Cedar's policy struc…

DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific Literature
Dawei Li, Shu Yang, Zhen Tan, Jae Young Baik, Sunkwon Yun, Joseph Lee, Aaron Chacko, Bojian Hou, Duy Duong-Tran, Ying Ding, Huan Liu, Li Shen, Tianlong Chen
https://arxiv.org/abs/2405.04819

DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific Literature
Recent advancements in large language models (LLMs) have achieved promising performances across various applications. Nonetheless, the ongoing challenge of integrating long-tail knowledge continues to impede the seamless adoption of LLMs in specialized domains. In this work, we introduce DALK, a.k.a. Dynamic Co-Augmentation of LLMs and KG, to address this limitation and demonstrate its ability on studying Alzheimer's Disease (AD), a specialized sub-field in biomedicine and a global health prior…

Faster Algorithms for Fair Max-Min Diversification in $\mathbb{R}^d$
Yash Kurkure, Miles Shamo, Joseph Wiseman, Sainyam Galhotra, Stavros Sintos
https://arxiv.org/abs/2404.04713 <…

Faster Algorithms for Fair Max-Min Diversification in $\mathbb{R}^d$
The task of extracting a diverse subset from a dataset, often referred to as maximum diversification, plays a pivotal role in various real-world applications that have far-reaching consequences. In this work, we delve into the realm of fairness-aware data subset selection, specifically focusing on the problem of selecting a diverse set of size $k$ from a large collection of $n$ data points (FairDiv). The FairDiv problem is well-studied in the data management and theory community. In this work…