Results 21 to 30 of about 154,109 (120)

Local Search and the Evolution of World Models

Topics in Cognitive Science, EarlyView., 2023
Abstract An open question regarding how people develop their models of the world is how new candidates are generated for consideration out of infinitely many possibilities. We discuss the role that evolutionary mechanisms play in this process. Specifically, we argue that when it comes to developing a global world model, innovation is necessarily ...
Neil R. Bramley, Bonan Zhao, Tadeg Quillien, Christopher G. Lucas   +3 more
wiley   +1 more source

Bayesian Meta‐Learning for Few‐Shot Reaction Outcome Prediction of Asymmetric Hydrogenation of Olefins

Angewandte Chemie, EarlyView.
A Bayesian meta‐learning framework is proposed for reaction outcome prediction in low‐data settings. It utilizes a literature‐mined dataset on asymmetric hydrogenation of olefins to build a pre‐trained model. This meta‐model is shown to return better predictions as compared to single‐tasks methods, such as random forest and graph neural networks, given
Sukriti Singh, José Miguel Hernández‐Lobato   +1 more
wiley   +2 more sources

Computational modeling of plant root development: the art and the science. [PDF]

New Phytol
Summary Plant root development, like any developmental process, arises from the interplay between processes like gene expression, cell–cell signaling, cell growth and division, and tissue mechanics, which unfold over a wide range of temporal and spatial scales.
Ten Tusscher KH.
europepmc   +2 more sources

The Role of Artificial Intelligence in Advancing Biosensor Technology: Past, Present, and Future Perspectives

Advanced Materials, EarlyView.
This review explores the transformative role of AI in biosensor technology and provides a holistic interdisciplinary perspective that covers a broader scope of AI‐enabled biosensor technologies across various sectors including healthcare, environmental monitoring, food safety, and agriculture. It also highlights the important role of novel materials in
Tuğba Akkaş, Mahshid Reshadsedghi, Mustafa Şen, Volkan Kılıç, Nesrin Horzum   +4 more
wiley   +1 more source

Uncontrolled Learning: Codesign of Neuromorphic Hardware Topology for Neuromorphic Algorithms

Advanced Intelligent Systems, EarlyView.
Codesign is used to implement a neuroscience‐inspired machine learning algorithm in all neuromorphic hardware. In this implementation, the hidden memristors cannot be directly accessed, limiting control of the network during training. By leveraging theoretical tools, including memristor circuits dynamics and a closed form expression for the network ...
Frank Barrows, Jonathan Lin, Francesco Caravelli, Dante R. Chialvo   +3 more
wiley   +1 more source

Survey sabotage: Insights into reducing the risk of fraudulent responses in online surveys

Anatomical Sciences Education, EarlyView.
Abstract Validity is a key element of many forms of research—particularly surveys, which are often used in health professions education research. A survey must accurately measure what it is intended to measure to be considered valid. This is becoming increasingly difficult in the age of artificial intelligence (AI), where “bots” (short for robots) are ...
James Bonnamy, Bethany Carr, Michelle D. Lazarus, Clifford Connell   +3 more
wiley   +1 more source

Knowledge acquisition in science and the blurred boundary between perception and cognition

British Educational Research Journal, EarlyView.
Abstract This paper provides a critical and detailed study of what researchers in the fields of contemporary cognition and neuroscience have revealed about the blurred boundary between perception and cognition. We set out the arguments with a view to what researchers and teachers should now consider regarding the subtleties of their interrelationship ...
T. G. K. Bryce, E. J. Blown
wiley   +1 more source

Artificial intelligence in the diagnosis and management of gynecologic cancer

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract Gynecologic cancers affect over 1.2 million women globally each year. Early diagnosis and effective treatment are essential for improving patient outcomes, yet traditional diagnostic methods often encounter limitations, particularly in low‐resource settings.
Chaiyawut Paiboonborirak, Nadeem R. Abu‐Rustum, Sarikapan Wilailak   +2 more
wiley   +1 more source

Applications of artificial intelligence‐driven microfluidics in medical laboratory science

Interdisciplinary Medicine, EarlyView.
The advancements in microfluidics and artificial intelligence are transforming the landscape of Medical Laboratory Science. This article systematically reviews the approaches and applications of AI‐driven microfluidics for analyzing cells, bacteria, nucleic acids, proteins, viruses, and cancer, while also addressing current challenges and proposing ...
Qingyang Jiang, Qiaohui Mo, Chenchen Ge, Wangjing Li, Jingwen Mai, Yao Chen, Ying Liu, Xiaoyan Deng, Zifeng Yang, Dou Wang   +9 more
wiley   +1 more source

Access and benefit sharing biological materials for machines: Artificial intelligence, machine learning and deep learning

PLANTS, PEOPLE, PLANET, EarlyView.
Future research and development of biological materials for foods, feeds, fibres, materials and medicines will increasingly rely on information and knowledge using Artificial Intelligence (AI) applications for detecting patterns to make useful decisions.
Charles Lawson, Elizabeth Englezos, Michelle Rourke   +2 more
wiley   +1 more source