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Improving Brain–Machine Interfaces with Machine Learning
Brain–machine interfaces (BMIs) have enabled a handful of test participants who are unable to move or speak to communicate simply by thinking. An implanted device picks up the neural signals associated with a particular thought and converts them into control signals that are fed into a computer or a robotic limb. For example, a quadriplegic […]
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New Study Demonstrates How Autonomic Neurons Control Digestive Functions
The autonomic nervous system orchestrates the functions of internal organs such as the heart and gut, serving as a connection between the brain and the rest of the body. It is classified in two divisions—the sympathetic and parasympathetic systems, often described as the body’s accelerator and brake, respectively. For example, the sympathetic nervous system activates […]
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Transforming Neurological Care in 30 Seconds with QDG Health
Summary QDG Health, developed by Dr. Helen Bronte-Stewart at Stanford, introduces Quantitative Digitography (QDG), a 30-second finger-tapping test using the KeyDuo device to remotely monitor Parkinson’s disease (PD) symptoms. Its AI-driven PRECISE algorithm translates movement data into validated motor biomarkers, tracking tremors, rigidity, and bradykinesia with high accuracy. The system enables real-time symptom monitoring, medication […]
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Revolutionizing ADHD Treatment Through Neuromonitoring Guided Working Memory Interventions
Summary A recent Stanford University study published in iScience explores a neuromonitoring-guided working memory intervention for children with ADHD. Traditional treatments often fail to address ADHD’s neural mechanisms, but this research integrates real-time functional near-infrared spectroscopy (fNIRS) with cognitive training and neurofeedback to enhance working memory (WM) networks. In a randomized trial, children in the […]
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Chen Institute Launches AI Talent Initiative to Find Global Leaders in “AI for Science”
The Tianqiao and Chrissy Chen Institute has unveiled its AI Talent Initiative, an ambitious program aimed at finding and fostering future leaders in AI-driven scientific research. This initiative offers a unique platform for aspiring talent to push the boundaries of research, collaborating with some of the world’s top scientists to advance the deep integration of […]
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Will AI Help Solve the Global Mental Health Crisis?
Summary The global mental health crisis leaves over two-thirds of affected individuals untreated. AI technologies are emerging as transformative tools in addressing this issue. At Cincinnati Children’s Hospital, AI analyzes linguistic patterns to identify suicidality with 90% accuracy and detect anxiety months earlier than traditional methods. Dr. Frederike Petzschner of Brown University highlights AI’s potential […]
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Decoding the Hidden Signals of Aggression and Arousal in the Brain
Credit: AI-generated image courtesy of Aditya Nair A series of three papers from neuroscientist David J. Anderson’s laboratory, two in the journal Nature and one in the journal Cell, reveal new insights into the neural signals underlying internal emotional states including aggression and sexual arousal. The studies show that the state of aggression in male […]
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The Tianqiao & Chrissy Chen Institute’s OMNE Framework for Long-term AI Memory Claims Top Spot on GAIA Leaderboard
Redwood City, October 23, 2024. Drawing on their deep knowledge of the brain and memory, the Tianqiao & Chrissy Chen Institute’s internal AI team achieved a major breakthrough in artificial intelligence, with their self-developed OMNE Multiagent Framework which took the top position on the GAIA (General AI Assistants) benchmark leaderboard (https://huggingface.co/spaces/gaia-benchmark/leaderboard), published by Hugging Face. […]
