What makes artificial intelligence intelligent? Is it able to learn from errors or recognize, say, the letters of the alphabet in a set of random shapes like a human can? These are some of the questions developers of AI ask. What began as sluggish programs on hulking machines has taken the form of code that anyone in a particular field could test out and manipulate to suit their needs.
Jae Ho Sohn, a radiologist at the University of California at San Francisco, is adapting and working with an AI algorithm to analyze thousands of positron emission tomography (PET) scans to search for early signs of Alzheimer’s. The algorithm looks for irregular levels of glucose in the brain that may point to the disease years before its most severe symptoms appear. READ MORE ON: THE WASHINGTON POST