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How Artificial Intelligence Can Help in Improving Healthcare

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Despite the significant advances made in computer science in the last decades, which are daily improving medical services and research, patient care has always been about human-to-human interaction and empathy. However, through artificial intelligence, medical professionals can obtain more accurate patient information and make better decisions. The application of sophisticated mathematical algorithms is going far beyond the collection of information. Artificial intelligence now has the ability to learn, distinguish patterns and find substantive inconsistencies usually invisible to the human eye. IBM Watson, the supercomputer, is one of the best examples of the practical application of AI in healthcare.


Telepathic computer reads your mind to see what you see

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Scientists have developed an artificial intelligence (AI) that can figure out what you are looking at, just by monitoring your brain activity. The research is another step towards a direct'telepathic' connection between brains and computers, and could one day lead to decoding of video, imagined pictures or even dreams. A preprint of the work, performed by computer scientists at the Chinese Academy of Sciences, has been uploaded to the arXiv server, though is not yet been peer-reviewed. Functional magnetic resonance imaging (fMRI) has provided a window on the brain – a way to monitor what areas of the brain are active at any given moment. Since the 1990s the technique has helped spark a revolution in brain research.


Deduce Healing with New Scientific Breakthroughs in Diagnostics - Coruzant Technologies

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Diagnosis is crucial to providing efficacious healthcare. Let's have a look at the history. Hippocrates (400 BCE) was the first to systemize the process of diagnosis based on a person's symptoms and medical history. About 2500 years later in 1895 the X-ray was discovered by Konrad Roentgen. With this invention, we could now watch radiation pass through the body, leaving shadows of the solid objects.


Scientists say AI can tell your politics from a brain scan -- we say it's BS

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A team of researchers using what they call "state-of-the-art artificial intelligence techniques" has reportedly created a system capable of identifying a human's political ideology by viewing their brain scans. This is either the most advanced AI system in the entire known universe or it's a total sham. You don't even have to read the researcher's paper to debunk their work. All you need is the phrase "politics change," and we're done here. But, just for fun, let's actually get into the paper and explain how prediction models work. A team of researchers from Ohio State University, University of Pittsburgh, and New York University gathered 174 US college students (median age 21) -- the vast majority of whom self-identified as liberal -- and conducted brain scans on them while they completed a short battery of tests.


Studying the brain to build AI that processes language as people do

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AI has made impressive strides in recent years, but it's still far from learning language as efficiently as humans. For instance, children learn that "orange" can refer to both a fruit and color from a few examples, but modern AI systems can't do this nearly as efficiently as people. This has led many researchers to wonder: Can studying the human brain help to build AI systems that can learn and reason like people do? Today, Meta AI is announcing a long-term research initiative to better understand how the human brain processes language. In collaboration with neuroimaging center Neurospin (CEA) and INRIA we're comparing how AI language models and the brain respond to the same spoken or written sentences.


Dogs understand praise the same way we do. Here's why that matters.

National Geographic

Every dog owner knows that saying Good dog! in a happy, high-pitched voice will evoke a flurry of joyful tail wagging in their pet. That made scientists curious: What exactly happens in your dog's brain when it hears praise, and is it similar to the hierarchical way our own brain processes such acoustic information? When a person gets a compliment, the more primitive, subcortical auditory regions first reacts to the intonation--the emotional force of spoken words. Next, the brain taps the more recently evolved auditory cortex to figure out the meaning of the words, which is learned. In 2016, a team of scientists discovered that dogs' brains, like those of humans, compute the intonation and meaning of a word separately--although dogs use their right brain hemisphere to do so, whereas we use our left hemisphere.


To build better AI, Meta is studying how human brains process language - SiliconANGLE

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Meta Platforms Inc.'s artificial intelligence research division Meta AI is embarking on a long-term research project to study how the human brain processes language in order to build better language models. The project was announced today and will be done in collaboration with neuroimaging center NeuroSpin and the Inria, the French National Institute for Research in Digital Science and Technology. With the participation of these two foundations, Meta AI will be comparing how AI language models and human brains respond to the same spoken or written sentences. "Understanding the origins of human intelligence is the grand challenge for science in the 21st century," said Stanislas Dehaene, director of NeuroSpin. "Artificial neural networks for language are getting closer and closer to mimicking the activity of the human brain, and thereby shedding new light on how thought might be implemented in neural tissue."


La veille de la cybersécurité

#artificialintelligence

Today, we're announcing a long-term AI research initiative to better understand how the human brain processes speech and text. In collaboration with neuroimaging center Neurospin (CEA) and Inria, we're comparing how AI language models and the brain respond to the same spoken or written sentences. We'll use insights from this work to guide the development of AI that processes speech and text as efficiently as people. Over the past two years, we've applied deep learning techniques to public neuroimaging data sets to analyze how the brain processes words and sentences.


Building AI That Processes Language as People Do

#artificialintelligence

Today, we're announcing a long-term AI research initiative to better understand how the human brain processes speech and text. In collaboration with neuroimaging center Neurospin (CEA) and Inria, we're comparing how AI language models and the brain respond to the same spoken or written sentences. We'll use insights from this work to guide the development of AI that processes speech and text as efficiently as people. Over the past two years, we've applied deep learning techniques to public neuroimaging data sets to analyze how the brain processes words and sentences. AI has made impressive strides in recent years, but it's still far from learning language as efficiently as humans.


The Truth About AI In Healthcare

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In heavily regulated industries such as healthcare, digital innovation can be slow to progress. However, once organizations push towards digital transformation and innovation, the benefits that can be achieved such as revenue growth, patient volume, and cost of care can provide tremendous value. Healthcare organizations are looking for an approach to cost-effective and technically efficient build-out to help on their digital transformation journeys. With investments shifting from core EMRs to infrastructure solutions that enable flexibility and adaptability, healthcare organizations are looking to digital innovation to solve these key issues. In an upcoming Enterprise Data & AI presentation on May 5, 2022, Vignesh Shetty, SVP & GM Edison AI And Platform, GE Healthcare Digital will discuss GE Healthcare's digital health platform and how it's helping companies in the healthcare sector on their AI and data journey.