Probabilistic Programming is a way of defining probabilistic models by overloading the operations in standard programming language to have probabilistic meanings. The goal is to specify probabilistic ...

We study machine learning formulations of inductive program synthesis; given input-output examples, we try to synthesize source code that maps inputs to corresponding outputs. Our aims are to develop ...

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Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Satellite data provides essential insights into the spatiotemporal distribution of CO ...

The object-oriented paradigm popularized by languages including Java and C++ has slowly given way to a functional programming approach that is advocated by popular Python libraries and JavaScript ...

Imagine a world where your computer doesn’t just work harder but smarter, tapping into the very chaos that surrounds us. It’s not science fiction—it’s the dawn of probabilistic and thermodynamic ...

Playing with numbers: Programming languages are staying in step with the latest advancements in technology. While old favorites continue to be used by millions, modern contenders are emerging with ...

Python 3.11 introduced the Specializing Adaptive Interpreter. When the interpreter detects that some operations predictably involve the same types, those operations are “specialized.” The generic ...

Over the past few weeks, we've been discussing programming language popularity here on ZDNET. Most recently, I aggregated data from nine different rankings to produce the ZDNET Index of Programming ...

The Department of Homeland Security announced Thursday it will resume issuing travel authorization to migrants from Cuba, Haiti, Nicaragua and Venezuela who apply to come to the United States with the ...