Things to Do in L.A. Tap to enable a layout that focuses on the article. Challenges to Pelosi part of broader movement to replace the Democratic Party's old guard Rep. Nancy Pelosi, shown talking to reporters in the U.S. Capitol on Oct. 1, has not said whether she will seek another term in 2026. This is read by an automated voice. Please report any issues or inconsistencies here . Younger Democratic candidates are challenging older incumbents amid increasing frustration over the party's ineffective resistance to President Trump.

Things to Do in L.A. Tap to enable a layout that focuses on the article. State Sen. Scott Wiener stands in front of a mural at Oasis, a drag show he helped the owners launch in San Francisco. He intends to run for Nancy Pelosi's long-held congressional seat. The former House speaker has not said whether she will seek another term. This is read by an automated voice.

This paper proposes a framework for assessing the novelty of design problems using the SAPPhIRE model of causality. SAPPhIRE denotes different abstraction levels where S stands for State change, A stands for Action, P stands for Parts, Ph stands for Physical Phenomena, I stands for Input, R stands for oRgan and E stands for Physical Effect. The novelty of a problem is measured as its minimum distance from the problems in a reference problem database. The distance is calculated by comparing the current problem and each reference past problem at the various levels of abstraction in the SAPPhIRE ontology. The basis for comparison is textual similarity. To demonstrate the applicability of the proposed framework, The'current' set of problems associated with an artifact, as collected from its stakeholders, were compared with the'past' set of problems, as collected from patents and other web sources, to assess the novelty of the'current' set. This approach is aimed at providing a better understanding of the degree of novelty of any given set of current problems by comparing them to similar problems available from historical records. By applying such approaches, organizations could effectively prioritize and address emerging problems based on their relative novelty, with positive ramifications on problem-solving and decision-making. Since manual assessment, the current mode of such assessments as reported in the literature, is a tedious process, to reduce time complexity and to afford better applicability for larger sets of problem statements, an automated assessment is proposed and used in this paper.

Representing systems using the SAPPhIRE causality model is found useful in supporting design-by-analogy. However, creating a SAPPhIRE model of artificial or biological systems is an effort-intensive process that requires human experts to source technical knowledge from multiple technical documents regarding how the system works. This research investigates how to leverage Large Language Models (LLMs) in creating structured descriptions of systems using the SAPPhIRE model of causality. This paper, the second part of the two-part research, presents a new Retrieval-Augmented Generation (RAG) tool for generating information related to SAPPhIRE constructs of artificial systems and reports the results from a preliminary evaluation of the tool's success - focusing on the factual accuracy and reliability of outcomes.

Based on interactions between individuals and others and references to social norms, this study reveals the impact of heterogeneity in time preference on wealth distribution and inequality. We present a novel approach that connects the interactions between microeconomic agents that generate heterogeneity to the dynamic equations for capital and consumption in macroeconomic models. Using this approach, we estimate the impact of changes in the discount rate due to microeconomic interactions on capital, consumption and utility and the degree of inequality. The results show that intercomparisons with others regarding consumption significantly affect capital, i.e. wealth inequality. Furthermore, the impact on utility is never small and social norms can reduce this impact. Our supporting evidence shows that the quantitative results of inequality calculations correspond to survey data from cohort and cross-cultural studies. This study's micro-macro connection approach can be deployed to connect microeconomic interactions, such as exchange, interest and debt, redistribution, mutual aid and time preference, to dynamic macroeconomic models.

Find all episodes of our series Smarter health here. Stacy Hurt is a cancer survivor and patient advocate. She says AI could transform health care for the better, as long as it doesn't transform the sacred patient-doctor relationship for the worse. "Any technology that occurs should only enhance that. It should not put any distance between that," she says.

This is the first episode in our series Smarter health. American health care is complex. In the first episode in our series Smarter health, we explore the potential of AI in health care -- from predicting patient risk, to diagnostics, to just helping physicians make better decisions. Today, On Point: We consider whether AI's potential can be realized in our financially-motivated health care system. Welcome to an On Point special series: Smarter health: Artificial intelligence and the future of American health care. In the not so distant future, artificial intelligence and machine learning technologies could transform the health care you receive, whether you're aware of it or not. Here are just a couple of examples. Dr. Vindell Washington is chief clinical officer at Verily Life Sciences, which is owned by Google's parent company, Alphabet. Washington oversees the development of Onduo. Technology that weaves together multiple streams of complex, daily medical data in order to guide and personalize health care decisions across entire patient populations. VINDELL WASHINGTON [Tape]: You might have a blood pressure cuff reading, you may have a blood sugar reading, you may have some logging that you've done.

This is the first episode in our series Smarter health. American health care is complex. In the first episode in our series Smarter health, we explore the potential of AI in health care -- from predicting patient risk, to diagnostics, to just helping physicians make better decisions. Today, On Point: We consider whether AI's potential can be realized in our financially-motivated health care system. Welcome to an On Point special series: Smarter health: Artificial intelligence and the future of American health care.

The Indian Institute of Management (IIM) Ahmedabad today launched the Brij Disa Centre for Data Science and Artificial Intelligence (CDSA). The centre shall undertake leading-edge research in data science and artificial intelligence that will support businesses, governance, and policymaking. It aims to forge synergistic and collaborative relationships between scholars and practitioners in data-intensive organisations, besides undertaking case-based research to understand the current industry practice and develop case studies for classroom teaching. The endowment for this centre has been contributed by Deepak Gupta, joint managing director, Kotak Mahindra Group. Errol D'Souza, director, IIM Ahmedabad, said, "Data Science and artificial intelligence are increasingly impacting businesses across the world. AI has become an inevitable part of our lives. To harness the power of these advanced technologies for augmenting businesses, the need of the hour is to bring together different stakeholders onto the same platform, conduct intensive research to identify challenges, determine potential and provide impactful insights."

It aims to forge synergistic and collaborative relationships between scholars and practitioners in data-intensive organisations, besides undertaking case-based research to understand the current industry practice and develop case studies for classroom teaching. The endowment for this centre has been contributed by Deepak Gupta, joint managing director, Kotak Mahindra Group. Errol D'Souza, director, IIM Ahmedabad, said, "Data Science and artificial intelligence are increasingly impacting businesses across the world. AI has become an inevitable part of our lives. To harness the power of these advanced technologies for augmenting businesses, the need of the hour is to bring together different stakeholders onto the same platform, conduct intensive research to identify challenges, determine potential and provide impactful insights."