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 ...

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 ...

But as reliance deepens, a quieter tension is emerging: the gradual outsourcing of memory, reasoning and even creativity to ...

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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 ...

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

The future of software development isn’t just about who codes faster—it’s about who can express intent more naturally.