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Improving AI models' ability to explain their predictions
In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...
Artificial intelligence models can produce weather forecasts up to 100,000 times faster than traditional systems. Researchers ...
Washington University in St. Louis researchers and clinicians have been incorporating data from Fitbit wristbands into machine-learning models that could predict surgical outcomes, pain after surgery ...
Cervical spondylotic myelopathy (CSM) refers to spinal cord compression from arthritis in the neck and is the leading cause ...
Researchers at the University at Albany are building a computer model that will predict weather-related electrical outages across North America.
Researchers have developed a new AI-based method for predicting optical transceiver failures in the computer clusters used for AI training. The new technology could allow operators to anticipate ...
Evaluation of deep learning tools underscores strengths, limitations and opportunities for next‑generation hybrid modeling.
Researchers use AI "digital twins" to discover a new type of neuron in the visual cortex that perceives complex textures and object arrangements.
Please provide your email address to receive an email when new articles are posted on . Early detection and treatment of sepsis can improve outcomes for children. A team of physicians and computer ...
Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world. Barbara is a tech writer specializing in AI and emerging technologies. With a ...
WPI researchers have used a form of artificial intelligence (AI) to analyze anatomical changes in the brain and predict ...
The funding for Paris-based AMI to help it build AI 'world models' represents the largest seed round ever for a European startup and one of the region’s largest fundings for an AI startup overall, per ...
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