Combining novel virtual reality imaging with machine learning, researchers were able to accurately detect mouse models of ASD compared to wild-type mice based on cortical functional network dynamics while the animal was in motion.
Using a new technology called The Virtual Brain, researchers are able to create personalized computerized brain models of individual patients based on their anatomy, structural connectivity, and brain dynamics.
A new immersive art experience from artists with depersonalization symptoms explores how people experience life from different perspectives, both while awake and while dreaming.
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Study identifies six factors humans must overcome to insure artificial intelligence is trustworthy, safe, reliable, and compatible with human values.
AI-generated arguments about controversial, hot-button political topics can change people's positions on issues.
ChatGPT and other modern AI technologies have both positive and negative effects on academia, learning, and teaching. Researchers say it may be time to adapt to using AI as a tool in education and leverage ChatGPT for the benefit of both academic staff and students.
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New artificial intelligence technology is able to screen for genetic mutations in brain cancer tumors in less than 90 seconds.
Using ECG data, a new machine learning algorithm was able to predict death within 5 years of a patient being admitted to hospital with 87% accuracy. The AI was able to sort patients into 5 categories ranging from low to high risk of death.
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A newly developed integrated software application combines interactive and automated coloring techniques with deep learning technology. The application is able to generate color to black and white movies automatically.
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When it comes to answering people's questions about cancer, especially regarding myths and misconceptions, ChatGPT is 97% accurate in providing the correct information. The AI is so accurate, test subjects were unaware whether the answers came from ChatGPT or the National Cancer Institute.
Humans and computers can interact via multiple modes and channels to respectively gain wisdom and deepen intelligence.
Text-to-image generation deep learning models like OpenAI's DALL-E 2 can be a promising new tool for image augmentation, generation, and manipulation in a healthcare setting.