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Machine learning detects early brain changes linked to Alzheimer's disease
Worcester Polytechnic Institute (WPI) researchers have used a form of artificial intelligence (AI) to analyze anatomical changes in the brain and predict Alzheimer's disease with nearly 93% accuracy.
In this video, we explore the concept of consciousness and whether AI machines can achieve it. We discuss the Turing Test, proposed by Alan Turing, which evaluates if a machine can think or possess a ...
Researchers at Chiba University in Japan have developed a new artificial intelligence framework capable of decoding complex brain activity with significantly improved accuracy, marking an important ...
German-Dutch startup Zander Laboratories has secured €30mn in funding from Germany’s Cyber Security Agency to transform the interaction between humans and machines. Notably, this is the largest single ...
News-Medical.Net on MSN
Novel embedding-driven AI for adaptable brain control
Motor imagery (MI) is the mental process of imagining a specific limb movement, such as raising a hand or walking, without physically performing it. These imagined movements generate distinct patterns ...
Certain cells in the brain create a nurturing environment, enhancing the health and resilience of their neighbors, while others promote stress and damage. Using spatial transcriptomics and AI, ...
This story is part of a series on the current progression in Regenerative Medicine. This piece discusses advances in brain-computer interfaces. In 1999, I defined regenerative medicine as the ...
Researchers at the University of Houston and the University of Cincinnati are using machine learning to create a clearer picture of how heroin affects the brain, potentially opening new doors for ...
A new study shows that 20 minutes of cardio can trigger memory-linked brain waves in the hippocampus, offering the first direct evidence of this effect in humans.
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