Turing machines are widely believed to be universal, in the sense that any computation done by any system can also be done by a Turing machine. In a new article, researchers present their work ...

Machine learning-based neural network potentials often cannot describe long-range interactions. Here the authors present an approach for building neural network potentials that can describe the ...

Computer scientist Lance Fortnow writes that by embracing the computations that surround us, we can begin to understand and tame our seemingly random world. Bohr: Algebra is like sheet music. The ...

Embed <iframe src="https://www.npr.org/player/embed/177369920/177371310" width="100%" height="290" frameborder="0" scrolling="no" title="NPR embedded audio player ...

The Association for Computing Machinery (ACM) on Wednesday announced that it has awarded this year's A.M. Turing prize, often referred to as the Nobel Prize of computing, to computer scientist and ...

Esther Rolf and her research team were awarded a United Nations' Digital GameChangers Award for a tool called MOSAIKS that promises to greatly increase who can access and analyze satellite data. Rolf, ...

Overview:Machine Learning libraries like PyTorch, TensorFlow, and JAX help developers build, train, and deploy AI models ...

Turing machines were first proposed by British mathematician Alan Turing in 1936, and are a theoretical mathematical model of what it means for a system to "be a computer." At a high level, these ...