Recently, researchers introduced a new representation learning framework that integrates causal inference with graph neural networks—CauSkelNet, which can be used to model the causal relationships and ...

For more than a decade, Alexander Huth from the University of Texas at Austin had been striving to build a language decoder—a tool that could extract a person’s thoughts noninvasively from brain ...

Youngsters who once built things, played games, and read books are now immersed in one-dimensional, passive tidbits of ...

But as reliance deepens, a quieter tension is emerging: the gradual outsourcing of memory, reasoning and even creativity to machines. This shift, known as cognitive offloading, raises urgent questions ...

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Source: Image created with the assistance of DALL·E 2 and image by Alina Grubnyak. Machine learning is zooming ahead, bringing new models each year. One neural network architecture is particularly ...

Children’s eyes may hold the secret to how they learn from videos, and new research suggests artificial intelligence could unlock it. By pairing eye-tracking technology with advanced neural networks, ...

Large language models evolved alongside deep-learning neural networks and are critical to generative AI. Here's a first look, including the top LLMs and what they're used for today. Large language ...

Artificial intelligence is now part of our daily lives, with the subsequent pressing need for larger, more complex models.