Stanford researchers have developed a deep learning algorithm that evaluates chest X-rays for signs of disease. In just over a month of development, their algorithm outperformed expert radiologists at diagnosing pneumonia.
Conversational software programs might provide patients a less risky environment for discussing mental health, but they come with some risks to privacy or accuracy. Stanford scholars discuss the pros and cons of this trend.
SLAC and Stanford researchers demonstrate that brain-mimicking neural networks can revolutionize the way astrophysicists analyze complex data, including distortions in spacetime that are crucial for our understanding of the universe.
In the first of what will be a century-long series of periodic studies on artificial intelligence, top scientists say, “It is not too soon for social debate on how the fruits of an AI-dominated economy should be shared.”
After learning new software and programming languages, Stanford students in the Artificial Intelligence Laboratory have an opportunity to choose a creative task and design a robot to perform the task for demonstration.
Artificial intelligence visionaries from academia, government and industry meet to discuss how to responsibly integrate ever-evolving AI technology into the real world in such a way that all can benefit.