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New 'Dragon Hatchling' AI architecture modeled after the human brain could be a key step toward AGI, researchers claim
Scientists say a new kind of AI could bridge the gap between current systems and machines that learn and think more like us.
Researchers have developed a powerful new software toolbox that allows realistic brain models to be trained directly on data.
Scientists have created a virtual brain network that can predict the behavior of individual neurons in a living brain. The model is based on a fruit fly’s visual system, and it offers scientists a way ...
AI models trained on high-impact, low-quality social media posts show some alarming behavior. Here's how to audit your ...
Assistant Professor of Electrical and Computer Engineering Jason Eshraghian. Four years ago, UC Santa Cruz’s Jason Eshraghian developed a Python library that combines neuroscience with artificial ...
A team of researchers at Baylor College of Medicine and Yale University incorporated generative artificial intelligence (AI) to create a foundational model for brain activity. Brain Language Model ...
A research team from the School of Engineering at The Hong Kong University of Science and Technology (HKUST) has achieved a ...
The proposed model using comprehensive clinical and tumor genomic data can accurately identify high-risk patients for brain metastases, who may benefit from more intensive brain magnetic resonance ...
The brain is the perfect place to look for inspiration to develop more efficient neural networks. Spiking neural networks are pervading many streams of deep learning which are in need of low-power, ...
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