Results 91 to 100 of about 15,975 (290)

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

open access: yesAdvanced 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   +6 more
wiley   +1 more source

Problems of massive open online distance learning courses in distance learning systems

open access: yesCTE Workshop Proceedings, 2013
The term "Massive Open Distance Learning" was coined by George Siemens in 2008. The process of learning in such courses is the process of creating a network whose nodes are external entities (people, organizations, libraries, websites, books, magazines,
V. M. Kukharenko
doaj   +1 more source

Communication patterns in massively open online courses

open access: yesThe Internet and Higher Education, 2014
Abstract Despite the hype and speculation about the role massively open online courses (MOOCs) may play in higher education, empirical research that explores the realities of interacting and learning in MOOCs is in its infancy. MOOCs have evolved from previous incarnations of online learning but are distinguished in their global reach and semi ...
Nabeel Gillani, Rebecca Eynon
openaire   +2 more sources

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

open access: yesAdvanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen   +4 more
wiley   +1 more source

Malaria: Massive open online courses MOOC

open access: yesTravel Medicine and Infectious Disease, 2016
no ...
Chabriere, Eric, Parola, Philippe
openaire   +2 more sources

‘Sizing up’ the online course: Adapting learning designs to meet growing participant numbers

open access: yes, 2014
Online course design has experienced an upheaval recently with the arrival of Massive Open Online Courses (MOOCs), turning the model which underpins many online courses on its head.
Julie Watson, Watson, Julie
core   +1 more source

Massive Open Online Courses MOOCS: A Study [PDF]

open access: yes, 2022
Massive Open Online Courses or MOOCs play as a powerful platform in Open Educational Resources (OER) which drastically changed the higher education system such as distance learning, online learning learning ,open learning methods etc.
Malode( Wadnerkar), Vaishali
core  

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

open access: yesAdvanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park   +19 more
wiley   +1 more source

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

open access: yesAgribusiness, 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

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

open access: yesAdvanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang   +4 more
wiley   +1 more source

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