Catalyzing next-generation artificial intelligence through neuroai

A Zador, S Escola, B Richards, B Ölveczky… - Nature …, 2023 - nature.com
Neuroscience has long been an essential driver of progress in artificial intelligence (AI). We
propose that to accelerate progress in AI, we must invest in fundamental research in …

Generative artificial intelligence empowers educational reform: current status, issues, and prospects

H Yu, Y Guo - Frontiers in Education, 2023 - frontiersin.org
The emergence of Chat GPT has once again sparked a wave of information revolution in
generative artificial intelligence. This article provides a detailed overview of the development …

Artificial intelligence as an enabler for entrepreneurs: a systematic literature review and an agenda for future research

G Giuggioli, MM Pellegrini - International Journal of Entrepreneurial …, 2023 - emerald.com
Purpose While the disruptive potential of artificial intelligence (AI) has been receiving
growing consensus with regards to its positive influence on entrepreneurship, there is a …

Deep problems with neural network models of human vision

JS Bowers, G Malhotra, M Dujmović… - Behavioral and Brain …, 2023 - cambridge.org
Deep neural networks (DNNs) have had extraordinary successes in classifying
photographic images of objects and are often described as the best models of biological …

Lessons from infant learning for unsupervised machine learning

L Zaadnoordijk, TR Besold, R Cusack - Nature Machine Intelligence, 2022 - nature.com
The desire to reduce the dependence on curated, labeled datasets and to leverage the vast
quantities of unlabeled data has triggered renewed interest in unsupervised (or self …

Convergence of artificial intelligence and neuroscience towards the diagnosis of neurological disorders—a scoping review

C Surianarayanan, JJ Lawrence, PR Chelliah… - Sensors, 2023 - mdpi.com
Artificial intelligence (AI) is a field of computer science that deals with the simulation of
human intelligence using machines so that such machines gain problem-solving and …

Toward next-generation artificial intelligence: Catalyzing the neuroai revolution

A Zador, S Escola, B Richards, B Ölveczky… - arXiv preprint arXiv …, 2022 - arxiv.org
Neuroscience has long been an essential driver of progress in artificial intelligence (AI). We
propose that to accelerate progress in AI, we must invest in fundamental research in …

[HTML][HTML] Class imbalance should not throw you off balance: Choosing the right classifiers and performance metrics for brain decoding with imbalanced data

P Thölke, YJ Mantilla-Ramos, H Abdelhedi, C Maschke… - NeuroImage, 2023 - Elsevier
Abstract Machine learning (ML) is increasingly used in cognitive, computational and clinical
neuroscience. The reliable and efficient application of ML requires a sound understanding of …

A rubric for human-like agents and NeuroAI

I Momennejad - … Transactions of the Royal Society B, 2023 - royalsocietypublishing.org
Researchers across cognitive, neuro-and computer sciences increasingly reference 'human-
like'artificial intelligence and 'neuroAI'. However, the scope and use of the terms are often …

An Umbrella Review of the Fusion of fMRI and AI in Autism

D Giansanti - Diagnostics, 2023 - mdpi.com
The role of functional magnetic resonance imaging (fMRI) is assuming an increasingly
central role in autism diagnosis. The integration of Artificial Intelligence (AI) into the realm of …