All posts tagged: Artificial Intelligence

Doctor vs Crowdsourced AI diagnosis app

Published by Sam

Shantanu Nundy recognized the symptoms of rheumatoid arthritis when his 31-year-old patient suffering from crippling hand pain checked into Mary’s Center in Washington, D.C. Instead of immediately starting treatment, though, Nundy decided first to double-check his diagnosis using a smartphone app that helps with difficult medical cases by soliciting advice from doctors worldwide. Within a day, Nundy’s hunch was confirmed. The app had used artificial intelligence (AI) to analyze and filter advice from several medical specialists into an overall ranking of the most likely diagnoses. Created by the Human Diagnosis Project (Human Dx)—an organization that Nundy directs—the app is one of the latest examples of growing interest in human–AI collaboration to improve health care. Human Dx advocates the use of machine learning—a popular AI technique that automatically learns from classifying patterns in data—to crowdsource and build on the best medical knowledge from thousands of physicians across 70 countries. Physicians at several major medical research centers have shown early interest in the app. Human Dx on Thursday announced a new partnership with top medical profession organizations …

An artificial neural network for relational reasoning

Published by Sam

How many parks are near the new home you’re thinking of buying? What’s the best dinner-wine pairing at a restaurant? These everyday questions require relational reasoning, an important component of higher thought that has been difficult for artificial intelligence (AI) to master. Now, researchers at Google’s DeepMind have developed a simple algorithm to handle such reasoning—and it has already beaten humans at a complex image comprehension test. Humans are generally pretty good at relational reasoning, a kind of thinking that uses logic to connect and compare places, sequences, and other entities. But the two main types of AI—statistical and symbolic—have been slow to develop similar capacities. Statistical AI, or machine learning, is great at pattern recognition, but not at using logic. And symbolic AI can reason about relationships using predetermined rules, but it’s not great at learning on the fly. The new study proposes a way to bridge the gap: an artificial neural network for relational reasoning. Similar to the way neurons are connected in the brain, neural nets stitch together tiny programs that collaboratively …

skeptic society Artificial intelligence predicting US Supreme Court decisions

Artificial intelligence predicting US Supreme Court decisions

Published by Daniella

Algorithm could reveal best strategies for plaintiffs. Several other studies have guessed at justices’ behavior with algorithms. A 2011 project, for example, used the votes of any eight justices from 1953 to 2004 to predict the vote of the ninth in those same cases, with 83% accuracy. Future extensions of the algorithm could include the full text of oral arguments or even expert predictions.

skeptic society Artificial Intelligence

Artificial Intelligence

Published by A Ambrossini

You probably heard the news: a supercomputer has become sentient and has passed the Turing test (i.e., has managed to fool a human being into thinking he was talking to another human being)! Surely the Singularity is around the corner and humanity is either doomed or will soon become god-like. Except, of course, that little of the above is true, and it matters even less. First, let’s get the facts straight: what actually happened was that a chatterbot (i.e., a computer script), not a computer, has passed the Turing test at a competition organized at the Royal Society in London. Second, there is no reason whatsoever to think that the chatterbot in question, named “Eugene Goostman” and designed by Vladimir Veselov, is sentient, or even particularly intelligent. It’s little more than a (clever) parlor trick. Third, this was actually the second time that a chatterbot passed the Turing test, the other one was Cleverbot, back in 2011. Fourth, Eugene only squeaked by, technically convincing “at least 30% of the judges” (a pretty low bar) for …