Industry using ‘diversionary’ tactics, says analyst, as energy-hungry complex functions such as video generation and deep research proliferate Tech companies are conflating traditional artificial ...

When you buy through links on our articles, Future and its syndication partners may earn a commission. Several Alan Turing papers, including "On Computable Numbers," are going to auction in June. | ...

Abstract: In this note we show how to construct some simply-configured N-state binary Turing machines that will start on a blank tape and eventually halt after printing a very large number of ones.

The goal of the “busy beaver” game is to find the longest-running computer program. Its pursuit has surprising connections to some of the most profound questions and concepts in mathematics.

Abstract: Deterministic Turing machines and their associated complexity measures, by construction, cannot capture the complexity of the output of stochastic processes - like those in the real world.

Modern AI systems have fulfilled Alan Turing’s vision by learning from experience and passing the Turing Test. However, a recent paper stresses their divergence from Turing’s ideal of energy-efficient ...

Researchers are investigating whether large language models (LLMs) can move beyond language tasks and perform computations that mirror traditional computing systems. The focus has shifted towards ...

Large language models (LLMs) have gained significant attention as powerful tools for various tasks, but their potential as general-purpose decision-making agents presents unique challenges. To ...

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Understanding the mechanism of how neural networks learn features from data is a fundamental problem in machine learning. Our work explicitly connects the mechanism of neural feature learning to a ...