Computer Sciences

Researchers discover machines can learn by simply observing

It is now possible for machines to learn how natural or artificial systems work by simply observing them, without being told what to look for, according to researchers at the University of Sheffield.

Computer Sciences

'Liquid' machine-learning system adapts to changing conditions

MIT researchers have developed a type of neural network that learns on the job, not just during its training phase. These flexible algorithms, dubbed "liquid" networks, change their underlying equations to continuously adapt ...

Computer Sciences

A new genetic algorithm for traffic control optimization

Researchers at the University of Technology Sydney and DATA61 have recently developed a new method for optimizing the timing of signals in urban environments under severe traffic conditions. Their approach, presented in a ...

Computer Sciences

New study identifies differences between human and AI-generated text

A team of Carnegie Mellon University researchers set out to see how accurately large language models (LLMs) can match the style of text written by humans. Their findings were recently published in the Proceedings of the National ...

Computer Sciences

How well do explanation methods for machine-learning models work?

Imagine a team of physicians using a neural network to detect cancer in mammogram images. Even if this machine-learning model seems to be performing well, it might be focusing on image features that are accidentally correlated ...

Computer Sciences

OpenAI releases powerful text generator

Artificial intelligence laboratory OpenAI announced it is making a powerful new neural network for natural language processing available for limited release to the public.

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