AI Medical Compendium Journal:
Annals of the New York Academy of Sciences

Showing 11 to 20 of 28 articles

African bovid tribe classification using transfer learning and computer vision.

Annals of the New York Academy of Sciences
Objective analytical identification methods are still a minority in the praxis of paleobiological sciences. Subjective interpretation of fossils and their modifications remains a nonreplicable expert endeavor. Identification of African bovids is a cr...

Antibiotic discovery in the artificial intelligence era.

Annals of the New York Academy of Sciences
As the global burden of antibiotic resistance continues to grow, creative approaches to antibiotic discovery are needed to accelerate the development of novel medicines. A rapidly progressing computational revolution-artificial intelligence-offers an...

Computational modeling to assist in the discovery of supramolecular materials.

Annals of the New York Academy of Sciences
Computational modeling is increasingly used to assist in the discovery of supramolecular materials. Supramolecular materials are typically primarily built from organic components that are self-assembled through noncovalent bonding and have potential ...

Predictive models for human-AI nexus in group decision making.

Annals of the New York Academy of Sciences
Machine learning (ML) and artificial intelligence (AI) have had a profound impact on our lives. Domains like health and learning are naturally helped by human-AI interactions and decision making. In these areas, as ML algorithms prove their value in ...

A new method for training creativity: narrative as an alternative to divergent thinking.

Annals of the New York Academy of Sciences
Creativity is a major source of innovation, growth, adaptability, and psychological resilience, making it a top priority of governments, global corporations, educational institutions, and other organizations that collectively invest hundreds of milli...

Disruptive innovation in psychiatry.

Annals of the New York Academy of Sciences
Disruptive innovation is a cornerstone of various disciplines, particularly in the business world, where paradigm-altering approaches are often lauded. As a construct, disruptive psychiatry can be considered to embody such an approach by the pursuit ...

Group decision making under uncertain preferences: powered by AI, empowered by AI.

Annals of the New York Academy of Sciences
Group decision making is an important, long-standing, and ubiquitous problem in all societies, where collective decisions must be made by a group of agents despite individual conflicting preferences. This has been a classical and active topic for res...

A machine learning-based biological aging prediction and its associations with healthy lifestyles: the Dongfeng-Tongji cohort.

Annals of the New York Academy of Sciences
This study aims to establish a biological age (BA) predictor and to investigate the roles of lifestyles on biological aging. The 14,848 participants with the available information of multisystem measurements from the Dongfeng-Tongji cohort were used ...

Abstraction and analogy-making in artificial intelligence.

Annals of the New York Academy of Sciences
Conceptual abstraction and analogy-making are key abilities underlying humans' abilities to learn, reason, and robustly adapt their knowledge to new domains. Despite a long history of research on constructing artificial intelligence (AI) systems with...

From convolutional neural networks to models of higher-level cognition (and back again).

Annals of the New York Academy of Sciences
The remarkable successes of convolutional neural networks (CNNs) in modern computer vision are by now well known, and they are increasingly being explored as computational models of the human visual system. In this paper, we ask whether CNNs might al...