Results 111 to 120 of about 81,815 (304)

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

Advanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source

With a little help from abroad: the effect of low-skilled immigration on the female labor supply [PDF]

In this paper we examine whether and how the inflow of female immigrants who “specialize” in household production affects the labor supply of Italian women. To identify the causal effect, we exploit the family reunification motive and the network effects
Guglielmo Barone, Sauro Mocetti
core  

The Role of Artificial Intelligence in Medication Management for Older Adults: A Systematic Review

AGING MEDICINE, EarlyView.
Artificial intelligence enhances medication management for older adults by improving adherence, personalizing treatment, and predicting risks. Despite benefits, challenges remain in usability, trust, ethics, and system integration. Successful adoption requires user‐centered design, ethical safeguards, and seamless healthcare integration to ensure safe,
Dipak Chandra Das, Moustaq Karim Khan Rony, Shovit Dutta, MD. Sami Al Zubair Zujbe, Tapan Bhattacharjee, Niloy Debnath, Shabbir Abdullah Maruf, Chowdhury Galib Mortuza, Farhana Rahman, Akash Das   +9 more
wiley   +1 more source

Determinants of Knowledge and Usage of Generative Artificial Intelligence in Agricultural Extension: Evidence From Tennessee Extension Personnel

Agribusiness, EarlyView.
ABSTRACT This paper examines the determinants of generative AI (GenAI) knowledge and usage among agricultural extension professionals. Drawing on survey data from agricultural extension personnel in Tennessee, we employ regression analyses and latent Dirichlet allocation (LDA) for topic modeling of open‐ended responses to study the knowledge and usage ...
Abdelaziz Lawani, Jason de Koff, James Muriuki, Anna‐Liisa Ihuhwa   +3 more
wiley   +1 more source

Cognitive phantoms in large language models through the lens of latent variables

Computers in Human Behavior: Artificial Humans
Large language models (LLMs) increasingly reach real-world applications, necessitating a better understanding of their behaviour. Their size and complexity complicate traditional assessment methods, causing the emergence of alternative approaches ...
Sanne Peereboom, Inga Schwabe, Bennett Kleinberg   +2 more
doaj   +1 more source

Farmers’ Protests in Germany: Media Coverage and Types of Bias

Agribusiness, EarlyView.
ABSTRACT The German farmers’ protests of 2024 sparked widespread media coverage and public debate. Yet, media coverage was not always positive, reflecting the media's attention‐seeking and selective focus. Occurrences of farmers blocking media outlets reflected distrust in how their concerns were portrayed.
Felix Schlichte, Doris Läpple
wiley   +1 more source

Labor density and productivity in Spain: Evidence from geographically disaggregated data [PDF]

, 2015
In this paper we estimate agglomeration economies in Spain in 2009 basing on Ciccone?s (2002) model, which explains average labor productivity in one spatial unit on employment density and other controls. The novelty of our analysis is that the empirical
Dapena, Alberto Díaz, Morollón, Fernando Rubiera, Vázquez, Esteban Fernández   +2 more
core  

Is Precision Agriculture Technology Adoption Persistently Overestimated?

Agribusiness, EarlyView.
ABSTRACT Precision agriculture is sometimes assumed to diffuse steadily over time, and industry planning frequently extrapolates early adoption trends forward. This study evaluates the accuracy of such expectations by comparing agricultural input dealers' forecasts of future service offerings with the actual levels of offerings that dealerships ...
Trey Malone, Chad Fiechter, Zanliang Meng, James Lowenberg‐DeBoer, Bruce Erickson, Jay Akridge   +5 more
wiley   +1 more source

Industrial applications of large language models

Scientific Reports
Large language models (LLMs) are artificial intelligence (AI) based computational models designed to understand and generate human like text. With billions of training parameters, LLMs excel in identifying intricate language patterns, enabling remarkable
Mubashar Raza, Zarmina Jahangir, Muhammad Bilal Riaz, Muhammad Jasim Saeed, Muhammad Awais Sattar   +4 more
doaj   +1 more source

Exploring large language models as an integrated tool for learning, teaching, and research through the Fogg Behavior Model: a comprehensive mixed-methods analysis

Cogent Engineering
Large language models (LLMs) are a recent advancement in artificial intelligence that has the potential to revolutionize learning, teaching, and research.
S. N. Jyothy, Vysakh Kani Kolil, Raghu Raman, Krishnashree Achuthan   +3 more
doaj   +1 more source