Catalyzing next-generation artificial intelligence through neuroai
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 …
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 …
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 …
growing consensus with regards to its positive influence on entrepreneurship, there is a …
Deep problems with neural network models of human vision
Deep neural networks (DNNs) have had extraordinary successes in classifying
photographic images of objects and are often described as the best models of biological …
photographic images of objects and are often described as the best models of biological …
Lessons from infant learning for unsupervised machine learning
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 …
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 sco** review
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 …
human intelligence using machines so that such machines gain problem-solving and …
Toward next-generation artificial intelligence: Catalyzing the neuroai revolution
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 …
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
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 …
neuroscience. The reliable and efficient application of ML requires a sound understanding of …
Two-Dimensional Materials for Brain-Inspired Computing Hardware
Recent breakthroughs in brain-inspired computing promise to address a wide range of
problems from security to healthcare. However, the current strategy of implementing artificial …
problems from security to healthcare. However, the current strategy of implementing artificial …
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 …
like'artificial intelligence and 'neuroAI'. However, the scope and use of the terms are often …