Mind Matters Natural and Artificial Intelligence News and Analysis

TagMarvin Minsky and perceptrons

Machine learning , artificial intelligence, ai, deep learning blockchain neural network concept.

How Google’s LaMDA Resolved an Old Conflict in AI

Will two conflicting views always be in opposition? Or can they sometimes be resolved at a higher level?

In the movie Fiddler on the Roof there is a debate at one point. After listening to the cases made, a listener agrees with conclusions made from both sides of a conflict. Someone points out that “they can’t both be right!” to which the agreeable listener says “You know, you are also right.” Interestingly, the claim that the two sides of an issue will always be in opposition is not always true. The two sides can be in apparent conflict and both be right. Sometimes, but not always. The classic example is the blind men and the elephant. After feeling the elephant’s leg, one blind man says the elephant is like a tree. After feeling the elephant’s tail, another says the elephant Read More ›

3D illustration, embossed mesh representing internet connections, cloud computing and neural network.

Can Computer Neural Networks Learn Better Than Human Neurons?

They can and do; when artificial intelligence programmers stopped trying to copy the human neuron, they made much better progress

Neural networks are all the rage in computing these days. Many engineers think that, with enough computer power and fancy tweaks, they will become as smart as people. Recent successes playing games and predicting protein folds pour gasoline on the AI fire. We could be on the edge of the mystical Singularity, when humans and computers will merge and we become immortal gods. Or not. Let’s wind the clock back to the beginning of neural networks. In computer science terms, they are actually a very old technology. The earliest version, called a perceptron, (a single-layer neural network) was invented in the 1960s, inspired by McCulloch and Pitt’s early model of brain neurons. But, the perceptron was ignored for decades because Read More ›