Probabilistic programming has emerged as a powerful paradigm that integrates uncertainty directly into computational models. By embedding probabilistic constructs into conventional programming ...

“LET’S do it again,” calls a ten-year-old. Once more, pupils clasping printed numbers follow tangled lines marked with white tape on the floor of their school hall. When two meet, the one holding the ...

Deep learning and supervised learning gets all the attention in applications of artificial intelligence. But, unsupervised methods are slowly moving out of laboratories and into commercial ...

An example of the quadratic assignment problem (QAP) is the facility location problem, in which n facilities are assigned, at minimum cost, to n sites. Between each pair of facilities, there is a ...

Forbes contributors publish independent expert analyses and insights. Entrepreneur and technologist in AI and AI Literacy. As the year draws to a close, it is a good time to consider where different ...

Quantum computers have the potential to model new molecules and weather patterns better than any computer today. They may ...