Chinese researchers have developed SpikingBrain 1.0, a new "brain-like" AI that is 100 times faster than conventional models.
The Daily Galaxy on MSN
“We’ve Created an AI That Thinks Like the Human Brain”: This Startup Beats ChatGPT With 1,000 Times Fewer Parameters
A new AI architecture developed by a small Singaporean startup has made headlines after outperforming major large language ...
Surprise is a key human emotion that is typically felt when something that we are witnessing or experiencing differs from our expectations. This natural human response to the unexpected has been the ...
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 ...
The Institute of Automation, Chinese Academy of Sciences stated, "Currently, large models based on the Transformer ...
The Brighterside of News on MSN
Scientists produce the first brain-wide map of decision-making at the cellular level
For the first time, scientists have mapped how nearly an entire mammalian brain lights up as decisions are made. The massive ...
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 ...
News-Medical.Net on MSN
UNM researcher develops new model for characterizing different forms of vascular dementia
Vascular dementia - cognitive impairment caused by disease in the brain's small blood vessels - is a widespread problem, but ...
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 new study by physicists and neuroscientists from the University of Chicago, Harvard and Yale describes how connectivity among neurons comes about through general principles of networking and ...
The Institute of Automation, Chinese Academy of Sciences stated, "Currently, large models based on the Transformer ...
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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