Replacing animal testing with the ever-growing capabilities of AI and deep learning could help minimize the need for animals in scientific discovery.
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A team of data scientists has developed a general-purpose recommendation system for insurance based on Bayesian networks and deep learning.
Designing auxetics with artificial intelligence: Identifying next-generation metamaterial designs
Researchers from UC Berkeley are utilizing deep learning to bypass iterative finite element calculations. Their deep learning model is trained using finite element simulation data to predict the deformation behavior of favorable designs.
New AI tech predicts rare epileptic seizures
Preventing sudden and unexpected death hinges on accurately predicting the onset of epileptic seizures, even those with the rarest occurrences.
This mathematical tool could improve how fast information is shared
Researchers develop “relative attention entropy” to optimize data transmission, aiding AI learning and communication systems.
New AI-powered device monitors breathing to combat sleep apnea
Sleep apnea patients may soon sleep easier thanks to a comfortable, remote wearable device that tracks breathing patterns with the help of AI.
Diagnosing disease with AI could be the new norm in personalized medicine
A new AI diagnostic tool uses microbiome data and lifestyle factors to predict risk of multiple diseases, ushering in a new era of personalized healthcare.
AI is revolutionizing manual cell counting
AI is changing the labor-intensive process of manual cell counting, offering improved accuracy, efficiency, and a door into new scientific applications.
A smart laparoscope that self-adjusts during surgery
Researchers use machine learning techniques to decrease the workload of surgeons.
An artificial embryologist to improve the success of IVF
To help improve the success rates of fertility treatments, scientists are turning to AI to help standardize the sperm selection process.