Scott E. Counts
As seen in:
arXiv,
Frontiers,
Harvard Business Review,
MDPI,
Medscape,
medRxiv,
Clinics in Geriatric Medicine
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile
Articles by Scott E. Counts
Computer Science > Computation and Language
Runtime traces are becoming a central substrate for understanding agentic systems, yet interpretation has focused largely on what the agent did. Workplace agents face the complementary problem: interpreting the human activity that surrounds them.
Working with AI: Measuring the Occupational Implications of Generative AI
Given the rapid adoption of generative AI and its potential to impact a wide range of tasks, understanding the effects of AI on the economy is one of society’s most important questions. In this work, we take a step toward that goal by analyzing the work activities people do with AI, how successfully and broadly those activities are done, and combine that with data on what occupations do those activities.
Engagement, user expertise, and satisfaction: Key insights from the Semantic Telemetry Project
The Semantic Telemetry Project aims to better understand complex, turn-based human-AI interactions in Microsoft Copilot using a new data science approach. This understanding is crucial for recognizing how individuals utilize AI systems to address real-world tasks. It provides actionable insights, enhances key use cases , and identifies opportunities for system improvement.
Semantic Telemetry: Understanding how users interact with AI systems
AI tools are proving useful across a range of applications, from helping to drive the new era of business transformation to helping artists craft songs. But which applications are providing the most value to users? We’ll dig into that question in a series of blog posts that introduce the Semantic Telemetry project at Microsoft Research. In this initial post, we will introduce a new data science approach that we will use to analyze topics and task complexity of Copilot in Bing usage.
Protective Effects of Bifidobacterium Breve MCC1274 as a Novel Therapy for Alzheimer’s Disease
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
The Emerging AI Divide in the United States
The digital divide describes disparities in access to and usage of digital tooling between social and economic groups. Emerging generative artificial intelligence tools, which strongly affect productivity, could magnify the impact of these divides. However, the affordability, multi-modality, and multilingual capabilities of these tools could also make them more accessible to diverse users in comparison with previous forms of digital tooling.
Self-reported health, neuropsychological tests and biomarkers in fully recovered COVID-19 patients vs patients with post-COVID cognitive symptoms: a pilot study
The authors have declared no competing interest. Yes I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained. Not Applicable The details of the IRB/oversight body that provided approval or exemption for the research described are given below: The study was approved by the Institutional Review Board at Corewell Health (IRB nr. 2020-601).
[2404.11988] The Emerging AI Divide in the United States
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Learning from interaction with Microsoft Copilot (web)
AI systems like Bing and Microsoft Copilot (web) are as good as they are because they continuously learn and improve from people’s interactions. Since the early 2000s, user clicks on search result pages have fueled the continuous improvements of search engines. Recently, reinforcement learning from human feedback (RLHF) brought step-function improvements to response quality of generative AI models. Bing has a rich history of success in improving its AI offerings by learning from user interactions.
Possible role of locus coeruleus neuronal loss in age-related memory and attention deficits
1. Introduction The alarming increase of the aging population worldwide brings a significant increase in numerous chronic and degenerative diseases, causing substantial socio-economic burden (Ferrucci et al., 2008). In fact, Europe is expected to have the oldest populations in the world in the twenty-first century, with almost one in four Europeans projected to be aged 65 years or older by 2030 (Ferrucci et al., 2008).
Case report: Recurrent pontine stroke and leukoencephalopathy in a patient with de novo mutation in COL4A1
Introduction The alpha-1 chain of collagen type IV (COL4A1) constitutes a key constituent of the basement membrane of various vital organs throughout the human body. The extensive expression of this protein explains the highly heterogeneous and multifaceted spectrums of pathologies that arise from its genetic aberrations. Of particular note is the organ most susceptible to these genetic abnormalities—the brain.
Evaluating the effects of low-dose simulated galactic cosmic rays on murine hippocampal-dependent cognitive performance
Introduction The vision for space exploration is focused on the eventual colonization of the moon and Mars (Tinganelli et al., 2021; Zhang Z. et al., 2021), which is the goal of the NASA Artemis program. Currently there are many spacecrafts and satellites rotating around earth where they are shielded from the much higher risk of radiation damage in deep space.
Who Gets to Work in the Digital Economy?
The Covid-19 pandemic shifted the public conversation about remote work. This shift raises the possibility that remote may become commonplace or even the the norm for many digital economy jobs, which are loosely defined as jobs using computers to produce digital goods and services. The focus on daily work arrangements may, however, miss an even larger opportunity that the pandemic has unearthed: the possibility of a substantially increased labor pool for digital economy work.
Leukoaraiosis and Gray Matter Volume Alteration in Older Adults: The PROOF Study
Introduction Leukoaraiosis is a rarefaction of white matter found on magnetic resonance imaging (MRI) as white matter hyperintensities (WMH) (Hachinski et al., 1987). WMH are commonly observed on brain MRIs in older adults, thus leading some authors to speak of age-related white matter changes.
Neighborhood level chronic respiratory disease prevalence estimation using search query data
Loading metrics Open Access Peer-reviewed Research Article Nabeel Abdur Rehman, Scott Counts Nabeel Abdur Rehman, Scott Counts Published: June 9, 2021 https://doi.org/10.1371/journal.pone.0252383 Figures Abstract Estimation of disease prevalence at sub-city neighborhood scale allows early and targeted interventions that can help save lives and reduce public health burdens.
The Correlations Between Plasma Fibrinogen With Amyloid-Beta and Tau Levels in Patients With Alzheimer’s Disease
Introduction Alzheimer’s disease (AD) is the most common neurodegenerative disease that causes cognitive and memory impairment (Castellani et al., 2010; Jia et al., 2014). The main pathological hallmarks of AD include extracellular senile plaques containing β-amyloid (Aβ) and intracellular neurofibrillary tangles formed by phosphorylated tau (Huang and Mucke, 2012; Long and Holtzman, 2019).
Characteristics of Epigenetic Clocks Across Blood and Brain Tissue in Older Women and Men
Introduction Chronologic age is the strongest risk factor for many chronic diseases; however, disease risk is heterogeneous within age groups, likely due, in part, to variation in “biologic age.” Substantial research has explored biomarkers of aging (Jylhava et al., 2017), which are critical tools for predicting disease risk, assessing mechanisms underlying aging processes, and developing interventions to delay aging-associated declines in health.
Show More
loading
Actions
Is this you?
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.Get in touch with Scott E.
Contact Scott E., search articles and posts on X, monitor coverage, and track replies from one place.
Learn more about Muck Rack