AIMC Topic: Artificial Intelligence

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Screening For Bone Marrow Cellularity Changes in Cynomolgus Macaques in Toxicology Safety Studies Using Artificial Intelligence Models.

Toxicologic pathology
Many compounds affect the cellularity of hematolymphoid organs including bone marrow. Toxicologic pathologists are tasked with their evaluation as part of safety studies. An artificial intelligence (AI) tool could provide diagnostic support for the p...

Energy-dependent protein folding: modeling how a protein folding machine may work.

F1000Research
Proteins fold robustly and reproducibly , but many cannot fold in isolation from cellular components. Despite the remarkable progress that has been achieved by the artificial intelligence approaches in predicting the protein native conformations, t...

The impact of errors in infant development: Falling like a baby.

Developmental science
What is the role of errors in infants' acquisition of basic skills such as walking, skills that require immense amounts of practice to become flexible and generative? Do infants change their behaviors based on negative feedback from errors, as sugges...

RippleNet: a Recurrent Neural Network for Sharp Wave Ripple (SPW-R) Detection.

Neuroinformatics
Hippocampal sharp wave ripples (SPW-R) have been identified as key bio-markers of important brain functions such as memory consolidation and decision making. Understanding their underlying mechanisms in healthy and pathological brain function and beh...

Artificial Intelligence, Social Media and Depression. A New Concept of Health-Related Digital Autonomy.

The American journal of bioethics : AJOB
The development of artificial intelligence (AI) in medicine raises fundamental ethical issues. As one example, AI systems in the field of mental health successfully detect signs of mental disorders, such as depression, by using data from social media...

Application of Artificial Intelligence to Address Issues Related to the COVID-19 Virus.

SLAS technology
Artificial intelligence (AI) plays a major role in addressing novel coronavirus 2019 (COVID-19)-related issues and is also used in computer-aided synthesis planning (CASP). AI, including machine learning, is used by artificial neural networks such as...

An integrated approach based on artificial intelligence and novel meta-heuristic algorithms to predict demand for dairy products: a case study.

Network (Bristol, England)
This research specifically addresses the prediction of dairy product demand (DPD). Since dairy products have a short consumption period, it is important to have accurate information about their future demand. The main contribution of this research is...

Multitask Learning and Reinforcement Learning for Personalized Dialog Generation: An Empirical Study.

IEEE transactions on neural networks and learning systems
Open-domain dialog generation, which is a crucial component of artificial intelligence, is an essential and challenging problem. In this article, we present a personalized dialog system, which leverages the advantages of multitask learning and reinfo...