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Creating a mental health monitoring system for senior citizens with artificial intelligence

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The University of the United Arab Emirates has completed projects of artificial intelligence laboratories that work to create a mental health monitoring system for senior citizens and to contribute to the early detection of incurable brain diseases such as dementia and Alzheimer's disease. The Artificial Intelligence and Robotics Laboratory operates at the University as part of the Fourth Industrial Revolutionary Organization, which follows the University of the United Arab Emirates, by establishing five major laboratories to support the march of the Fourth Industrial Revolution in the country. . Dr. Fadi Al-Najjar, Associate Professor in the Department of Computer Science and Software Engineering and Director of the Laboratory of Artificial Intelligence and Robotics, stressed that the UAE University is keen to accelerate and improve the development of educational technologies. The role of artificial intelligence in modern educational studies and programs seeks to improve project releases and curricula that meet the needs of the country's strategic plans and programs for the next fifty years. He said: The projects of the artificial intelligence laboratories at the university have been completed, creating a psychiatric monitoring system for senior citizens, predicting the future development of their cases, relying on the robot "Abu Chief", designed and developed in the laboratory, and with the technical support of Microsoft in the Middle East.



Futuristic AI-Based Computing Devices: Physicists Simulate Artificial Brain Networks With New Quantum Materials

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Like biologically based systems (left), complex emergent behaviors--which arise when separate components are merged together in a coordinated system--also result from neuromorphic networks made up of quantum-materials-based devices (right). Pandemic lockdown forces a new perspective on designs for futuristic AI-based computing devices. Isaac Newton's groundbreaking scientific productivity while isolated from the spread of bubonic plague is legendary. University of California San Diego physicists can now claim a stake in the annals of pandemic-driven science. A team of UC San Diego researchers and colleagues at Purdue University have now simulated the foundation of new types of artificial intelligence computing devices that mimic brain functions, an achievement that resulted from the COVID-19 pandemic lockdown.


Neuroscience Is Inspiring Some Amazing Sci-Fi

WIRED

Daryl Gregory's collection Unpossible features several short stories inspired by neuroscience, including "Digital," in which a man's consciousness migrates from his head into his finger, and "Glass," in which sociopaths are "cured" by activating their mirror neurons. "It's great to have a job where you get permission to feed your hobby and buy as many books as you want, and so I keep buying neuroscience books," Gregory says in Episode 484 of the Geek's Guide to the Galaxy podcast. "I'm endlessly fascinated by that stuff, and so I'm always looking for ways to make that into stories." In his story "Dead Horse Point," a genius physicist suffers from a strange condition that causes her to disappear into her own mind for weeks at a time. Gregory says the story was inspired by a friend of his. "He wasn't completely dysfunctional like the character in my story, but he was a really gifted mathematician, and when he was working on a hard problem, he would--for days at a time--he would drift around, he would eat automatically, he would barely talk to people," Gregory says.


Taking lessons from a sea slug, study points to better hardware for artificial intelligence: Researchers mimic the animal kingdom's most basic signs of intelligence in quantum material

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A new study has found that a material can mimic the sea slug's most essential intelligence features. The discovery is a step toward building hardware that could help make AI more efficient and reliable for technology ranging from self-driving cars and surgical robots to social media algorithms. The study, publishing this week in the Proceedings of the National Academy of Sciences, was conducted by a team of researchers from Purdue University, Rutgers University, the University of Georgia and Argonne National Laboratory. "Through studying sea slugs, neuroscientists discovered the hallmarks of intelligence that are fundamental to any organism's survival," said Shriram Ramanathan, a Purdue professor of materials engineering. "We want to take advantage of that mature intelligence in animals to accelerate the development of AI." Two main signs of intelligence that neuroscientists have learned from sea slugs are habituation and sensitization.


Digital health is the future of neuroscience

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Recently, I had an opportunity to speak with Martin Dubuc, who leads Biogen Digital Health, and his colleague, Belgian neurologist Dr. Shibeshih Belachew, who leads Biogen Digital Health Sciences, to gain additional insights for the rapid evolution of digital technologies – particularly related to neuroscience. According to Belachew and Dubuc, neurological conditions, like Alzheimer's disease, Parkinson's disease, or amyotrophic lateral sclerosis (Lou Gehrig's disease), provide an interesting case study to this effect. For far too long, these debilitating disease areas have been difficult to diagnose and monitor. Despite the ultimately life-threatening nature of these conditions, the typical markers used to diagnose and measure them are often subjective and infrequent – leaving neurologists unable to pick up small changes that could help them to treat individuals sooner.


AI could detect dementia years before symptoms appear

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Dementias are characterised by the build-up of different types of protein in the brain, which damages brain tissue and leads to cognitive decline. In the case of Alzheimer's disease, these proteins include beta-amyloid, which forms'plaques', clumping together between neurons and affecting their function, and tau, which accumulates inside neurons. Molecular and cellular changes to the brain usually begin many years before any symptoms occur. Diagnosing dementia can take many months or even years. It typically requires two or three hospital visits and can involve a range of CT, PET and MRI scans as well as invasive lumber punctures.


Can sea slugs help make AI smarter? - Futurity

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You are free to share this article under the Attribution 4.0 International license. For artificial intelligence to get any smarter, it needs first to be as intelligent as one of the simplest creatures in the animal kingdom: the sea slug. Researchers have found that a material can mimic the sea slug's most essential intelligence features. The discovery is a step toward building hardware that could help make AI more efficient and reliable for technology ranging from self-driving cars and surgical robots to social media algorithms. "Through studying sea slugs, neuroscientists discovered the hallmarks of intelligence that are fundamental to any organism's survival," says Shriram Ramanathan, a professor of materials engineering at Purdue University.


AI Analyzes Facial Expressions in Videos to Help Detect Parkinson's

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An artificial intelligence (AI) tool was able to distinguish, with great accuracy, Parkinson's patients from healthy peers by analyzing short videos of facial expressions, particularly smiles, a small study shows. The predictive accuracy of the new tool was comparable to that of video analysis that uses motor tasks to detect Parkinson's, pinpointing facial expressions as a potential digital, diagnostic biomarker of the disease. This type of biomarker could allow remote diagnosis without the need for personal interaction and extensive testing. This would be particularly relevant in situations such as a pandemic, in cases of reduced mobility, or in underdeveloped countries where few neurologists exist but most people have access to a phone with a camera, researchers noted. The study, "Facial expressions can detect Parkinson's disease: preliminary evidence from videos collected online," was published as a brief communication in the journal npj Digital Medicine.


Physicists Simulate Artificial Brain Networks with New Quantum Materials

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Isaac Newton's groundbreaking scientific productivity while isolated from the spread of bubonic plague is legendary. University of California San Diego physicists can now claim a stake in the annals of pandemic-driven science. A team of UC San Diego researchers and colleagues at Purdue University have now simulated the foundation of new types of artificial intelligence computing devices that mimic brain functions, an achievement that resulted from the COVID-19 pandemic lockdown. By combining new supercomputing materials with specialized oxides, the researchers successfully demonstrated the backbone of networks of circuits and devices that mirror the connectivity of neurons and synapses in biologically based neural networks. Like biologically based systems (left), complex emergent behaviors--which arise when separate components are merged together in a coordinated system--also result from neuromorphic networks made up of quantum-materials-based devices (right).